Object-oriented Software Construction

Bertrand Meyer

Mentioned 23

This is, quite simply, the definitive reference on the most important development in software technology for the last 20 years: object-orientation.A whole generation was introduced to object technology through the first edition of this book. This long-awaited new edition retains the qualities of clarity, practicality and scholarship that made the first an instant best-seller, but has been thoroughly revised and expanded. Among the new topics covered in depth are: Concurrency, distribution, client/server and the Internet; object-oriented databases; design by contract; fundamental design patterns; finding classes; the use and misuse of inheritance; abstract data types; and typing issues. The book also includes completely updated discussions of reusability, modularity, software quality, object-oriented languages, memory management, and many other essential topics.All software developers and computer science students, worldwide.

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Mentioned in questions and answers.

If you could go back in time and tell yourself to read a specific book at the beginning of your career as a developer, which book would it be?

I expect this list to be varied and to cover a wide range of things.

To search: Use the search box in the upper-right corner. To search the answers of the current question, use inquestion:this. For example:

inquestion:this "Code Complete"

Applying UML and Patterns by Craig Larman.

The title of the book is slightly misleading; it does deal with UML and patterns, but it covers so much more. The subtitle of the book tells you a bit more: An Introduction to Object-Oriented Analysis and Design and Iterative Development.

Masters of doom. As far as motivation and love for your profession go: it won't get any better than what's been described in this book, truthfully inspiring story!

Beginning C# 3.0: An Introduction to Object Oriented Programming

This is the book for those who want to understand the whys and hows of OOP using C# 3.0. You don't want to miss it.

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Mastery: The Keys to Success and Long-Term Fulfillment, by George Leonard

It's about about what mindsets are required to reach mastery in any skill, and why. It's just awesome, and an easy read too.

Pro Spring is a superb introduction to the world of Inversion of Control and Dependency Injection. If you're not aware of these practices and their implications - the balance of topics and technical detail in Pro Spring is excellent. It builds a great case and consequent personal foundation.

Another book I'd suggest would be Robert Martin's Agile Software Development (ASD). Code smells, agile techniques, test driven dev, principles ... a well-written balance of many different programming facets.

More traditional classics would include the infamous GoF Design Patterns, Bertrand Meyer's Object Oriented Software Construction, Booch's Object Oriented Analysis and Design, Scott Meyer's "Effective C++'" series and a lesser known book I enjoyed by Gunderloy, Coder to Developer.

And while books are nice ... don't forget radio!

... let me add one more thing. If you haven't already discovered safari - take a look. It is more addictive than stack overflow :-) I've found that with my google type habits - I need the more expensive subscription so I can look at any book at any time - but I'd recommend the trial to anyone even remotely interested.

(ah yes, a little obj-C today, cocoa tomorrow, patterns? soa? what was that example in that cookbook? What did Steve say in the second edition? Should I buy this book? ... a subscription like this is great if you'd like some continuity and context to what you're googling ...)

Database System Concepts is one of the best books you can read on understanding good database design principles.

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Algorithms in C++ was invaluable to me in learning Big O notation and the ins and outs of the various sort algorithms. This was published before Sedgewick decided he could make more money by dividing it into 5 different books.

C++ FAQs is an amazing book that really shows you what you should and shouldn't be doing in C++. The backward compatibility of C++ leaves a lot of landmines about and this book helps one carefully avoid them while at the same time being a good introduction into OO design and intent.

Here are two I haven't seen mentioned:
I wish I had read "Ruminations on C++" by Koenig and Moo much sooner. That was the book that made OO concepts really click for me.
And I recommend Michael Abrash's "Zen of Code Optimization" for anyone else planning on starting a programming career in the mid 90s.

Perfect Software: And Other Illusions about Testing


Perfect Software: And Other Illusions about Testing by Gerald M. Weinberg

ISBN-10: 0932633692

ISBN-13: 978-0932633699

Rapid Development by McConnell

The most influential programming book for me was Enough Rope to Shoot Yourself in the Foot by Allen Holub.

Cover of the book

O, well, how long ago it was.

I have a few good books that strongly influenced me that I've not seen on this list so far:

The Psychology of Everyday Things by Donald Norman. The general principles of design for other people. This may seem to be mostly good for UI but if you think about it, it has applications almost anywhere there is an interface that someone besides the original developer has to work with; e. g. an API and designing the interface in such a way that other developers form the correct mental model and get appropriate feedback from the API itself.

The Art of Software Testing by Glen Myers. A good, general introduction to testing software; good for programmers to read to help them think like a tester i. e. think of what may go wrong and prepare for it.

By the way, I realize the question was the "Single Most Influential Book" but the discussion seems to have changed to listing good books for developers to read so I hope I can be forgiven for listing two good books rather than just one.

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C++ How to Program It is good for beginner.This is excellent book that full complete with 1500 pages.

Effective C++ and More Effective C++ by Scott Myers.

Inside the C++ object model by Stanley Lippman

I bough this when I was a complete newbie and took me from only knowing that Java existed to a reliable team member in a short time

Not a programming book, but still a very important book every programmer should read:

Orbiting the Giant Hairball by Gordon MacKenzie

The Pragmatic programmer was pretty good. However one that really made an impact when I was starting out was :

Windows 95 System Programming Secrets"

I know - it sounds and looks a bit cheesy on the outside and has probably dated a bit - but this was an awesome explanation of the internals of Win95 based on the Authors (Matt Pietrek) investigations using his own own tools - the code for which came with the book. Bear in mind this was before the whole open source thing and Microsoft was still pretty cagey about releasing documentation of internals - let alone source. There was some quote in there like "If you are working through some problem and hit some sticking point then you need to stop and really look deeply into that piece and really understand how it works". I've found this to be pretty good advice - particularly these days when you often have the source for a library and can go take a look. Its also inspired me to enjoy diving into the internals of how systems work, something that has proven invaluable over the course of my career.

Oh and I'd also throw in effective .net - great internals explanation of .Net from Don Box.

I recently read Dreaming in Code and found it to be an interesting read. Perhaps more so since the day I started reading it Chandler 1.0 was released. Reading about the growing pains and mistakes of a project team of talented people trying to "change the world" gives you a lot to learn from. Also Scott brings up a lot of programmer lore and wisdom in between that's just an entertaining read.

Beautiful Code had one or two things that made me think differently, particularly the chapter on top down operator precedence.


@Juan: I know Juan, I know - but there are some things that can only be learned by actually getting down to the task at hand. Speaking in abstract ideals all day simply makes you into an academic. It's in the application of the abstract that we truly grok the reason for their existence. :P

@Keith: Great mention of "The Inmates are Running the Asylum" by Alan Cooper - an eye opener for certain, any developer that has worked with me since I read that book has heard me mention the ideas it espouses. +1

I found the The Algorithm Design Manual to be a very beneficial read. I also highly recommend Programming Pearls.

This one isnt really a book for the beginning programmer, but if you're looking for SOA design books, then SOA in Practice: The Art of Distributed System Design is for you.

For me it was Design Patterns Explained it provided an 'Oh that's how it works' moment for me in regards to design patterns and has been very useful when teaching design patterns to others.

Code Craft by Pete Goodliffe is a good read!

Code Craft

The first book that made a real impact on me was Mastering Turbo Assembler by Tom Swan.

Other books that have had an impact was Just For Fun by Linus Torvalds and David Diamond and of course The Pragmatic Programmer by Andrew Hunt and David Thomas.

In addition to other people's suggestions, I'd recommend either acquiring a copy of SICP, or reading it online. It's one of the few books that I've read that I feel greatly increased my skill in designing software, particularly in creating good abstraction layers.

A book that is not directly related to programming, but is also a good read for programmers (IMO) is Concrete Mathematics. Most, if not all of the topics in it are useful for programmers to know about, and it does a better job of explaining things than any other math book I've read to date.

For me "Memory as a programming concept in C and C++" really opened my eyes to how memory management really works. If you're a C or C++ developer I consider it a must read. You will defiantly learn something or remember things you might have forgotten along the way.


Agile Software Development with Scrum by Ken Schwaber and Mike Beedle.

I used this book as the starting point to understanding Agile development.

Systemantics: How Systems Work and Especially How They Fail. Get it used cheap. But you might not get the humor until you've worked on a few failed projects.

The beauty of the book is the copyright year.

Probably the most profound takeaway "law" presented in the book:

The Fundamental Failure-Mode Theorem (F.F.T.): Complex systems usually operate in failure mode.

The idea being that there are failing parts in any given piece of software that are masked by failures in other parts or by validations in other parts. See a real-world example at the Therac-25 radiation machine, whose software flaws were masked by hardware failsafes. When the hardware failsafes were removed, the software race condition that had gone undetected all those years resulted in the machine killing 3 people.

It seems most people have already touched on the some very good books. One which really helped me out was Effective C#: 50 Ways to Improve your C#. I'd be remiss if I didn't mention The Tao of Pooh. Philosophy books can be good for the soul, and the code.

Discrete Mathematics For Computer Scientists

Discrete Mathematics For Computer Scientists by J.K. Truss.

While this doesn't teach you programming, it teaches you fundamental mathematics that every programmer should know. You may remember this stuff from university, but really, doing predicate logic will improve you programming skills, you need to learn Set Theory if you want to program using collections.

There really is a lot of interesting information in here that can get you thinking about problems in different ways. It's handy to have, just to pick up once in a while to learn something new.

I saw a review of Software Factories: Assembling Applications with Patterns, Models, Frameworks, and Tools on a blog talking also about XI-Factory, I read it and I must say this book is a must read. Altough not specifically targetted to programmers, it explains very clearly what is happening in the programming world right now with Model-Driven Architecture and so on..

Solid Code Optimizing the Software Development Life Cycle

Although the book is only 300 pages and favors Microsoft technologies it still offers some good language agnostic tidbits.

Managing Gigabytes is an instant classic for thinking about the heavy lifting of information.

My vote is "How to Think Like a Computer Scientist: Learning With Python" It's available both as a book and as a free e-book.

It really helped me to understand the basics of not just Python but programming in general. Although it uses Python to demonstrate concepts, they apply to most, if not all, programming languages. Also: IT'S FREE!

Object-Oriented Programming in Turbo C++. Not super popular, but it was the one that got me started, and was the first book that really helped me grok what an object was. Read this one waaaay back in high school. It sort of brings a tear to my eye...

My high school math teacher lent me a copy of Are Your Lights Figure Problem that I have re-read many times. It has been invaluable, as a developer, and in life generally.

I'm reading now Agile Software Development, Principles, Patterns and Practices. For those interested in XP and Object-Oriented Design, this is a classic reading.

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Kernighan & Plauger's Elements of Programming Style. It illustrates the difference between gimmicky-clever and elegant-clever.

to get advanced in prolog i like these two books:

The Art of Prolog

The Craft of Prolog

really opens the mind for logic programming and recursion schemes.

Here's an excellent book that is not as widely applauded, but is full of deep insight: Agile Software Development: The Cooperative Game, by Alistair Cockburn.

What's so special about it? Well, clearly everyone has heard the term "Agile", and it seems most are believers these days. Whether you believe or not, though, there are some deep principles behind why the Agile movement exists. This book uncovers and articulates these principles in a precise, scientific way. Some of the principles are (btw, these are my words, not Alistair's):

  1. The hardest thing about team software development is getting everyone's brains to have the same understanding. We are building huge, elaborate, complex systems which are invisible in the tangible world. The better you are at getting more peoples' brains to share deeper understanding, the more effective your team will be at software development. This is the underlying reason that pair programming makes sense. Most people dismiss it (and I did too initially), but with this principle in mind I highly recommend that you give it another shot. You wind up with TWO people who deeply understand the subsystem you just built ... there aren't many other ways to get such a deep information transfer so quickly. It is like a Vulcan mind meld.
  2. You don't always need words to communicate deep understanding quickly. And a corollary: too many words, and you exceed the listener/reader's capacity, meaning the understanding transfer you're attempting does not happen. Consider that children learn how to speak language by being "immersed" and "absorbing". Not just language either ... he gives the example of some kids playing with trains on the floor. Along comes another kid who has never even SEEN a train before ... but by watching the other kids, he picks up the gist of the game and plays right along. This happens all the time between humans. This along with the corollary about too many words helps you see how misguided it was in the old "waterfall" days to try to write 700 page detailed requirements specifications.

There is so much more in there too. I'll shut up now, but I HIGHLY recommend this book!

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The Back of the Napkin, by Dan Roam.

The Back of the Napkin

A great book about visual thinking techniques. There is also an expanded edition now. I can't speak to that version, as I do not own it; yet.

Agile Software Development by Alistair Cockburn

Do users ever touch your code? If you're not doing solely back-end work, I recommend About Face: The Essentials of User Interface Design — now in its third edition (linked). I used to think my users were stupid because they didn't "get" my interfaces. I was, of course, wrong. About Face turned me around.

"Writing Solid Code: Microsoft's Techniques for Developing Bug-Free C Programs (Microsoft Programming Series)" by Steve MacGuire.

Interesting what a large proportion the books mentioned here are C/C++ books.

While not strictly a software development book, I would highly recommend that Don't Make me Think! be considered in this list.

As so many people have listed Head First Design Patterns, which I agree is a very good book, I would like to see if so many people aware of a title called Design Patterns Explained: A New Perspective on Object-Oriented Design.

This title deals with design patterns excellently. The first half of the book is very accessible and the remaining chapters require only a firm grasp of the content already covered The reason I feel the second half of the book is less accessible is that it covers patterns that I, as a young developer admittedly lacking in experience, have not used much.

This title also introduces the concept behind design patterns, covering Christopher Alexander's initial work in architecture to the GoF first implementing documenting patterns in SmallTalk.

I think that anyone who enjoyed Head First Design Patterns but still finds the GoF very dry, should look into Design Patterns Explained as a much more readable (although not quite as comprehensive) alternative.

Even though i've never programmed a game this book helped me understand a lot of things in a fun way.

How influential a book is often depends on the reader and where they were in their career when they read the book. I have to give a shout-out to Head First Design Patterns. Great book and the very creative way it's written should be used as an example for other tech book writers. I.e. it's written in order to facilitate learning and internalizing the concepts.

Head First Design Patterns

97 Things Every Programmer Should Know

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This book pools together the collective experiences of some of the world's best programmers. It is a must read.

Extreme Programming Explained: Embrace Change by Kent Beck. While I don't advocate a hardcore XP-or-the-highway take on software development, I wish I had been introduced to the principles in this book much earlier in my career. Unit testing, refactoring, simplicity, continuous integration, cost/time/quality/scope - these changed the way I looked at development. Before Agile, it was all about the debugger and fear of change requests. After Agile, those demons did not loom as large.

One of my personal favorites is Hacker's Delight, because it was as much fun to read as it was educational.

I hope the second edition will be released soon!

You.Next(): Move Your Software Development Career to the Leadership Track ~ Michael C. Finley (Author), Honza Fedák (Author) link text

I've been arounda while, so most books that I have found influential don't necessarily apply today. I do believe it is universally important to understand the platform that you are developing for (both hardware and OS). I also think it's important to learn from other peoples mistakes. So two books I would recommend are:

Computing Calamities and In Search of Stupidity: Over Twenty Years of High Tech Marketing Disasters

Working Effectively with Legacy Code is a really amazing book that goes into great detail about how to properly unit test your code and what the true benefit of it is. It really opened my eyes.

It wasn't that long ago that I was a beginning coder, trying to find good books/tutorials on languages I wanted to learn. Even still, there are times I need to pick up a language relatively quickly for a new project I am working on. The point of this post is to document some of the best tutorials and books for these languages. I will start the list with the best I can find, but hope you guys out there can help with better suggestions/new languages. Here is what I found:

Since this is now wiki editable, I am giving control up to the community. If you have a suggestion, please put it in this section. I decided to also add a section for general be a better programmer books and online references as well. Once again, all recommendations are welcome.

General Programming

Online Tutorials
Foundations of Programming By Karl Seguin - From Codebetter, its C# based but the ideas ring true across the board, can't believe no-one's posted this yet actually.
How to Write Unmaintainable Code - An anti manual that teaches you how to write code in the most unmaintable way possible. It would be funny if a lot of these suggestions didn't ring so true.
The Programming Section of Wiki Books - suggested by Jim Robert as having a large amount of books/tutorials on multiple languages in various stages of completion
Just the Basics To get a feel for a language.

Code Complete - This book goes without saying, it is truely brilliant in too many ways to mention.
The Pragmatic Programmer - The next best thing to working with a master coder, teaching you everything they know.
Mastering Regular Expressions - Regular Expressions are an essential tool in every programmer's toolbox. This book, recommended by Patrick Lozzi is a great way to learn what they are capable of.
Algorithms in C, C++, and Java - A great way to learn all the classic algorithms if you find Knuth's books a bit too in depth.


Online Tutorials
This tutorial seems to pretty consise and thourough, looked over the material and seems to be pretty good. Not sure how friendly it would be to new programmers though.
K&R C - a classic for sure. It might be argued that all programmers should read it.
C Primer Plus - Suggested by Imran as being the ultimate C book for beginning programmers.
C: A Reference Manual - A great reference recommended by Patrick Lozzi.


Online Tutorials
The tutorial on cplusplus.com seems to be the most complete. I found another tutorial here but it doesn't include topics like polymorphism, which I believe is essential. If you are coming from C, this tutorial might be the best for you.

Another useful tutorial, C++ Annotation. In Ubuntu family you can get the ebook on multiple format(pdf, txt, Postscript, and LaTex) by installing c++-annotation package from Synaptic(installed package can be found in /usr/share/doc/c++-annotation/.

The C++ Programming Language - crucial for any C++ programmer.
C++ Primer Plus - Orginally added as a typo, but the amazon reviews are so good, I am going to keep it here until someone says it is a dud.
Effective C++ - Ways to improve your C++ programs.
More Effective C++ - Continuation of Effective C++.
Effective STL - Ways to improve your use of the STL.
Thinking in C++ - Great book, both volumes. Written by Bruce Eckel and Chuck Ellison.
Programming: Principles and Practice Using C++ - Stroustrup's introduction to C++.
Accelerated C++ - Andy Koenig and Barbara Moo - An excellent introduction to C++ that doesn't treat C++ as "C with extra bits bolted on", in fact you dive straight in and start using STL early on.


FORTH, a text and reference. Mahlon G. Kelly and Nicholas Spies. ISBN 0-13-326349-5 / ISBN 0-13-326331-2. 1986 Prentice-Hall. Leo Brodie's books are good but this book is even better. For instance it covers defining words and the interpreter in depth.


Online Tutorials
Sun's Java Tutorials - An official tutorial that seems thourough, but I am not a java expert. You guys know of any better ones?
Head First Java - Recommended as a great introductory text by Patrick Lozzi.
Effective Java - Recommended by pek as a great intermediate text.
Core Java Volume 1 and Core Java Volume 2 - Suggested by FreeMemory as some of the best java references available.
Java Concurrency in Practice - Recommended by MDC as great resource for concurrent programming in Java.

The Java Programing Language


Online Tutorials
Python.org - The online documentation for this language is pretty good. If you know of any better let me know.
Dive Into Python - Suggested by Nickola. Seems to be a python book online.


Online Tutorials
perldoc perl - This is how I personally got started with the language, and I don't think you will be able to beat it.
Learning Perl - a great way to introduce yourself to the language.
Programming Perl - greatly referred to as the Perl Bible. Essential reference for any serious perl programmer.
Perl Cookbook - A great book that has solutions to many common problems.
Modern Perl Programming - newly released, contains the latest wisdom on modern techniques and tools, including Moose and DBIx::Class.


Online Tutorials
Adam Mika suggested Why's (Poignant) Guide to Ruby but after taking a look at it, I don't know if it is for everyone. Found this site which seems to offer several tutorials for Ruby on Rails.
Programming Ruby - suggested as a great reference for all things ruby.

Visual Basic

Online Tutorials
Found this site which seems to devote itself to visual basic tutorials. Not sure how good they are though.


Online Tutorials
The main PHP site - A simple tutorial that allows user comments for each page, which I really like. PHPFreaks Tutorials - Various tutorials of different difficulty lengths.
Quakenet/PHP tutorials - PHP tutorial that will guide you from ground up.


Online Tutorials
Found a decent tutorial here geared toward non-programmers. Found another more advanced one here. Nickolay suggested A reintroduction to javascript as a good read here.

Head first JavaScript
JavaScript: The Good Parts (with a Google Tech Talk video by the author)


Online Tutorials
C# Station Tutorial - Seems to be a decent tutorial that I dug up, but I am not a C# guy.
C# Language Specification - Suggested by tamberg. Not really a tutorial, but a great reference on all the elements of C#
C# to the point - suggested by tamberg as a short text that explains the language in amazing depth


nlucaroni suggested the following:
OCaml for Scientists Introduction to ocaml
Using Understand and unraveling ocaml: practice to theory and vice versa
Developing Applications using Ocaml - O'Reilly
The Objective Caml System - Official Manua


Online Tutorials
nlucaroni suggested the following:
Explore functional programming with Haskell
Real World Haskell
Total Functional Programming


wfarr suggested the following:
The Little Schemer - Introduction to Scheme and functional programming in general
The Seasoned Schemer - Followup to Little Schemer.
Structure and Interpretation of Computer Programs - The definitive book on Lisp (also available online).
Practical Common Lisp - A good introduction to Lisp with several examples of practical use.
On Lisp - Advanced Topics in Lisp
How to Design Programs - An Introduction to Computing and Programming
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp - an approach to high quality Lisp programming

What about you guys? Am I totally off on some of there? Did I leave out your favorite language? I will take the best comments and modify the question with the suggestions.

Java: SCJP for Java 6. I still use it as a reference.


O'Reilly Book:

  1. Real World Haskell, a great tutorial-oriented book on Haskell, available online and in print.

My favorite general, less academic online tutorials:

  1. The Haskell wikibook which contains all of the excellent Yet Another Haskell Tutorial. (This tutorial helps with specifics of setting up a Haskell distro and running example programs, for example.)
  2. Learn you a Haskell for Great Good, in the spirit of Why's Poignant Guide to Ruby but more to the point.
  3. Write yourself a Scheme in 48 hours. Get your hands dirty learning Haskell with a real project.

Books on Functional Programming with Haskell:

  1. Lambda calculus, combinators, more theoretical, but in a very down to earth manner: Davie's Introduction to Functional Programming Systems Using Haskell
  2. Laziness and program correctness, thinking functionally: Bird's Introduction to Functional Programming Using Haskell

Some books on Java I'd recommend:

For Beginners: Head First Java is an excellent introduction to the language. And I must also mention Head First Design Patterns which is a great resource for learners to grasp what can be quite challenging concepts. The easy-going fun style of these books are ideal for ppl new to programming.

A really thorough, comprehensive book on Java SE is Bruce Eckel's Thinking In Java v4. (At just under 1500 pages it's good for weight-training as well!) For those of us not on fat bank-bonuses there are older versions available for free download.

Of course, as many ppl have already mentioned, Josh Bloch's Effective Java v2 is an essential part of any Java developer's library.

Let's not forget Head First Java, which could be considered the essential first step in this language or maybe the step after the online tutorials by Sun. It's great for the purpose of grasping the language concisely, while adding a bit of fun, serving as a stepping stone for the more in-depth books already mentioned.

Sedgewick offers great series on Algorithms which are a must-have if you find Knuth's books to be too in-depth. Knuth aside, Sedgewick brings a solid approach to the field and he offers his books in C, C++ and Java. The C++ books could be used backwardly on C since he doesn't make a very large distinction between the two languages in his presentation.

Whenever I'm working on C, C:A Reference Manual, by Harbison and Steele, goes with me everywhere. It's concise and efficient while being extremely thorough making it priceless(to me anyways).

Languages aside, and if this thread is to become a go-to for references in which I think it's heading that way due to the number of solid contributions, please include Mastering Regular Expressions, for reasons I think most of us are aware of... some would also say that regex can be considered a language in its own right. Further, its usefulness in a wide array of languages makes it invaluable.

C: “Programming in C”, Stephen G. Kochan, Developer's Library.

Organized, clear, elaborate, beautiful.


The first one is good for beginners and the second one requires more advanced level in C++.

I know this is a cross post from here... but, I think one of the best Java books is Java Concurrency in Practice by Brian Goetz. A rather advanced book - but, it will wear well on your concurrent code and Java development in general.


C# to the Point by Hanspeter Mössenböck. On a mere 200 pages he explains C# in astonishing depth, focusing on underlying concepts and concise examples rather than hand waving and Visual Studio screenshots.

For additional information on specific language features, check the C# language specification ECMA-334.

Framework Design Guidelines, a book by Krzysztof Cwalina and Brad Abrams from Microsoft, provides further insight into the main design decisions behind the .NET library.

For Lisp and Scheme (hell, functional programming in general), there are few things that provide a more solid foundation than The Little Schemer and The Seasoned Schemer. Both provide a very simple and intuitive introduction to both Scheme and functional programming that proves far simpler for new students or hobbyists than any of the typical volumes that rub off like a nonfiction rendition of War & Peace.

Once they've moved beyond the Schemer series, SICP and On Lisp are both fantastic choices.

For C++ I am a big fan of C++ Common Knowledge: Essential Intermediate Programming, I like that it is organized into small sections (usually less than 5 pages per topic) So it is easy for me to grab it and read up on concepts that I need to review.

It is a must read for me the night before and on the plane to a job interview.

C Primer Plus, 5th Edition - The C book to get if you're learning C without any prior programming experience. It's a personal favorite of mine as I learned to program from this book. It has all the qualities a beginner friendly book should have:

  • Doesn't assume any prior exposure to programming
  • Enjoyable to read (without becoming annoying like For Dummies /
  • Doesn't oversimplify

For Javascript:

For PHP:

For OO design & programming, patterns:

For Refactoring:


  • C - The C Programming Language - Obviously I had to reference K&R, one of the best programming books out there full stop.
  • C++ - Accelerated C++ - This clear, well written introduction to C++ goes straight to using the STL and gives nice, clear, practical examples. Lives up to its name.
  • C# - Pro C# 2008 and the .NET 3.5 Platform - Bit of a mouthful but wonderfully written and huge depth.
  • F# - Expert F# - Designed to take experienced programmers from zero to expert in F#. Very well written, one of the author's invented F# so you can't go far wrong!
  • Scheme - The Little Schemer - Really unique approach to teaching a programming language done really well.
  • Ruby - Programming Ruby - Affectionately known as the 'pick axe' book, this is THE defacto introduction to Ruby. Very well written, clear and detailed.

What is the difference between cohesion and coupling?

How can coupling and cohesion lead to either good or poor software design?

What are some examples that outline the difference between the two, and their impact on overall code quality?

High cohesion within modules and low coupling between modules are often regarded as related to high quality in OO programming languages.

For example, the code inside each Java class must have high internal cohesion, but be as loosely coupled as possible to the code in other Java classes.

Chapter 3 of Meyer's Object-Oriented Software Construction (2nd edition) is a great description of these issues.

In C# (and many other languages) it's perfectly legitimate to access private fields of other instances of the same type. For example:

public class Foo
    private bool aBool;

    public void DoBar(Foo anotherFoo)
        if(anotherFoo.aBool) ...

As the C# specification (sections 3.5.1, 3.5.2) states access to private fields is on a type, not an instance. I've been discussing this with a colleague and we're trying to come up with a reason why it works like this (rather than restricting access to the same instance).

The best argument we could come up with is for equality checks where the class may want to access private fields to determine equality with another instance. Are there any other reasons? Or some golden reason that absolutely means it must work like this or something would be completely impossible?

Quite some answers have already been added to this interesting thread, however, I didn't quite find the real reason for why this behavior is the way it is. Let me give it a try:

Back in the days

Somewhere between Smalltalk in the 80's and Java in the mid 90's the concept of object-orientation matured. Information hiding, not originally thought of as a concept only available to OO (mentioned first in 1978), was introduced in Smalltalk as all data (fields) of a class is private, all methods are public. During the many new developments of OO in the 90's, Bertrand Meyer tried to formalize much of the OO concepts in his landmark book Object Oriented Software Construction (OOSC) which has since then be considered an (almost) definitive reference on OO concepts and language design.

In the case of private visibility

According to Meyer a method should be made available to a defined set of classes (page 192-193). This gives obviously a very high granularity of information hiding, the following feature is available to classA and classB and all their descendants:

feature {classA, classB}

In the case of private he says the following: without explicitly declaring a type as visible to its own class, you cannot access that feature (method/field) in a qualified call. I.e. if x is a variable, x.doSomething() is not allowed. Unqualified access is allowed, of course, inside the class itself.

In other words: to allow access by an instance of the same class, you have to allow the method access by that class explicitly. This is sometimes called instance-private versus class-private.

Instance-private in programming languages

I know of at least two languages currently in use that use instance-private information hiding as opposed to class-private information hiding. One is Eiffel, a language designed by Meyer, that takes OO to its utmost extremes. The other being Ruby, a far more common language nowadays. In Ruby, private means: "private to this instance".

Choices for language design

It has been suggested that allowing instance-private would be hard for the compiler. I don't think so, as it is relatively simple to just allow or disallow qualified calls to methods. If for a private method, doSomething() is allowed and x.doSomething() is not, a language designer has effectively defined instance-only accessibility for private methods and fields.

From a technical point of view, there's no reason to choose one way or the other (esp. when considering that Eiffel.NET can do this with IL, even with multiple inheritance, there's no inherent reason not to provide this feature).

Of course, it's a matter of taste and as others already mentioned, quite some methods might be harder to write without the feature of class-level visibility of private methods and fields.

Why C# allows only class encapsulation and not instance encapsulation

If you look at internet threads on instance encapsulation (a term sometimes used to refer to the fact that a language defines the access modifiers on instance level, as opposed to class level), the concept is often frowned upon. However, considering that some modern languages use instance encapsulation, at least for the private access modifier, makes you think it can be and is of use in the modern programming world.

However, C# has admittedly looked hardest at C++ and Java for its language design. While Eiffel and Modula-3 were also in the picture, considering the many features of Eiffel missing (multiple inheritance) I believe they chose the same route as Java and C++ when it came to the private access modifier.

If you really want to know the why you should try to get a hold of Eric Lippert, Krzysztof Cwalina, Anders Hejlsberg or anyone else who worked on the standard of C#. Unfortunately, I couldn't find a definitive note in the annotated The C# Programming Language.

I'm trying to boil down the concepts of coupling and cohesion to a concise definition. Can someone give me a short and understandable explanation (shorter than the definitions on Wikipedia here and here)? How do they interact?


Anybody have a good, short example?

One of the best comprehensive discussions of software design concepts related to OO (including these ones) is Bertrand Meyer's Object Oriented Software Construction.

Regarding 'coupling', he gives his Weak Coupling / Small Interfaces rule as follows:

If two modules communicate, they should exchange as little information as possible.

Meyer's material related to cohesion isn't ever boiled down to a single pithy statement, but I think this sentence from Steve McConnell's Code Complete sums it up pretty well:

Cohesion refers to how closely all the routines in a class or all the code in a routine support a central purpose

What 's the practical usage of virtual functions in c#?

My relative is studying programming and has a hard time understanding classes. He has trouble understanding for example that you need to instantiate it, that methods cannot access variables in other methods and if you change a variable in one instance of a class it doesn't change for other instances.

I've tried to use analogies like a class definition is like a blueprint of a house. And instances are houses made from that blueprint.

How do you explain classes and OO in general?

the best book i've ever on object-oriented programming is Betrand's "Object-Oriented Software Construction" - if you really want to get the basics, there is no way around it.

I'm hoping to get some tips to kinda help me break out of what i consider after all these years a bad habit of procedural programming. Every time i attempt to do a project in OOP i end up eventually reverting to procedural. I guess i'm not completely convinced with OOP (even though i think i've heard everything good about it!).

So i guess any good practical examples of common programming tasks that i often carry out such as user authentication/management, data parsing, CMS/Blogging/eComs are the kinda of things i do often, yet i haven't been able to get my head around how to do them in OOP and away from procedural, especially as the systems i build tend to work and work well.

One thing i can see as a downfall to my development, is that i do reuse my code often, and it often needs more rewrites and improvement, but i sometimes consider this as a natural evolution of my software development.

Yet i want to change! to my fellow programmers, help :) any tips on how i can break out of this nasty habbit?

The OO mindset is based on principles that lie at a much more basic level than design patterns. Design patterns are somehow fashionable these days (and have been for a while), and they are useful, but they are just one more layer that you can put upon more basic stuff that you absolutely must learn and master if you want to do OO properly. In other words: you can do OO perfectly without design patterns. In fact, many of us did OO well before the phrase "design patterns" was even coined.

Now, there is stuff you can't do without. I suggest you start at the basics. Read and understand "Object-Oriented Software Construction" 2nd edition by Bertrand Meyer. It's probably the best book on OO programming around, both in width and depth. That is if you're interested in programming.

I often hear/read about interfaced based programming but I am not exactly clear on what that really means. Is interfaced based programming an actual stand alone topic that actually has books written about it? If so, can anyone recommend any good ones?

I came across interface based programming as I was reading about how good APIs are designed and would like to learn more about it. Right now I am not clear how to properly go about designing an API around interfaces.

Any info is greatly appreciated.

Chapter 6 of "Practical API Design" by Jaroslav Tulach is titled "Code Against Interfaces, Not Implementations". It explains that, by coding against an interface rather than a specific implementation, you can decouple modules (or components) in a system and therefore raise the system quality.

Bertrand Meyer in OOSC2 explains clearly why "closing" a system and making it more modular raises its quality.

Over the past year or so I have been developing my TDD chops so that I am now fairly good at the essentials - writing tests first, mocking frameworks, testing as small things as possible, DI etc.

However I feel like there are still a lot of things that I am not getting out of unit testing.

For example, I often find that unit testing in this way does not really test the integration and overall bigger picture of what my code is supposed to be doing. With everything mocked out I find that I lose sight of whether or not the methods under test are producing the results that I actually need, rather than just the results they say the will provide. As I start to move towards BDD I find that this problem is only exacerbated, resulting in wasted development time and ineffective tests.

Another problem is that unit tests require a large amount of maintenance to keep them orderly, slowing down refactoring.

When I first started unit testing, like most people I found that what I was writing were really integration tests. However there were many benefits to these tests - they were much easier to read and acted as decent documentation on my programs API. They also tended to catch real world problem much faster, rather than unit tests which I find spend to much time targeting edge cases that would only arise through incorrect use of the API (e.g. null references, divides by 0 etc).

What are your thoughts? Can you recommend good books, articles or practices that tackle more advanced unit testing and maintaining productivity and effectiveness?

EDIT: Just a little follow questions, given the answers: So basically you're saying that despite doing all this unit 'testing' I'm not really be testing the code... to which I reply, 'But I want to test the dang code!' In fact, when I wrote lots of 'heavier' integration tests I found that my code tended to reach a state of correctness much quicker, and bugs were identified much earlier. Is it possible to achieve this without the maintainability problems of integration tests?

Check out "Object Oriented Software Construction" by Bertrand Mayer.

The concept is called "Contract Driven Development" It's an in-line type of testing at a function level, it's changed the way I program.

If you use CDD in Eiffel, the language also written by Bertrand, they're automatically checked by the runtime during the test and debug phase.



I am on the quest to be a good OO-developer. OO intrigues me, because I understand the patterns, know why composition gives you more flexibility then inheritance, and more of such wisdom. However, I came to the conclusion that I know how to implement a factory of a singleton, but that I do not know how to come up with a robust OO design.

I have a bunch of books

  1. Design Patterns by the GoF
  2. AntiPatterns Brown et al.
  3. Refactoring by Fowler
  4. Code complete 2

They might be very good books, but they don't teach you to architect an application. I am often paralysed by some very basic decisions (example). I am looking for a book that teaches the when and why. There are many books about hammers and nails, but I have yet to find a book that tells you something about their practical relationship.

What book was most instrumental in making you a confident OO-architect/designer?

  1. "Object-oriented software construction" by Bertrand Meyer

Most fundamental work about object-orientation ever published. This is absolutely must have book for every "object-oriented" programmmer.

2. "Object-Oriented Analysis and Design with Applications" by Grady Booch et al

Not so formal as Meyer's book, but this book can open your eyes on many questions in object-oriented world and in software development in general

3. "Design Patterns: Elements of Reusable Object-Oriented Software" by Erich Gamma et al.

This is famous "Gang of Four" book about design patterns

4. "Refactoring: Improving the Design of Existing Code" by Martin Fowler et al.

This is another classical book. First part perfectly describe many problem that modern software developer may faced during his work: code smells, readability vs performance, premature optimization drawbacks and many other topics.

5. "Thinking in Java" by Bruce Eckel

This book may help many beginners not only in Java language but in object-oriented way of thinking too.

6. "Touch of Class: Learning to Program Well with Objects and Contracts" by Bertrand Meyer

Excellent textbook by famous author.

Craig Larman's Applying UML and Patterns summarized a lot about what I had learned from experience. What I like about it is that it addresses all the aspects of software design -- which includes things like iterative design and development. Don't stare too hard at the use of UML: design descriptions are a means towards an end, and I found Larman's approach fairly pragmatic. You can't just code: you have to communicate your intentions (and understand what is needed). UML and cleanly designed, well commented code are some of the means towards that end.

And, of course, as others mention: no book will make you a good developer or designer. But it might help accelerate the process.

Would it be fair to say learning Java would make me a better PHP OOP Developer? I've been looking into Java so I can understand OOP better. Should I continue learning Java to better understand OOP or would I be better off sticking with PHP OPP. I've just learnt about interfaces and abstract classes, will I really use these in PHP? Any advice will be useful as I want to get the most out of my time.

If you're doing it for fun and for learning, you can take a look to other languages too.




made the history of OOP. I like this book:

Object Oriented Software Constructions

It's about Eiffel, but it makes you a better OOP programmer. :)

Been watching some Greg Young videos lately and I'm trying to understand why there is a negative attitude towards Setters on Domain objects. I thought Domain objects were supposed to be "heavy" with logic in DDD. Are there any good examples online of the bad example and then they way to correct it? Any examples or explanations are good. Does this only apply to Events stored in a CQRS manner or does this apply to all of DDD?

I strongly recommend reading the DDD book by Eric Evans and Object-Oriented Software Construction by Bertrand Meyer. They have all the samples you would ever need.

"Polymorphism is not the same as method overloading or method overriding. ... Neither ... are by themselves implementations of polymorphism".

This is a quote from wikipedia

However in the book "Object-Oriented Programming" Timothy Budd states there are "four different forms of polymorphism":

  • overloading (ad hoc polymorphism)

  • overriding (inclusion polymorphism)

  • polymorphic variable (assignment polymorphism)

  • generics

Who is right? Thanks

Polymorphism is a characteristic or feature of programming languages. Programming languages either support it or they don’t. Since programming languages fall under the umbrella of sometimes substantially different paradigms, different paradigms (functional programming or object oriented programming) may have slightly different interpretations and applications of HOW polymorphism is expressed in that particular paradigm.

As far as I know, in OOP polymorphism is considered one of the basic principles and a very distinctive one. Most of the object oriented languages have polymorphism among its many features. In a nutshell, polymorphism is best seen when the caller of an object with polymorphic implementation is not aware of the exact type the object is. Is is often a consequence of inheritance and casting, is also called subtype polymorphism, and works through the use of vTables.

I share the idea (along with many authors) that operator overload is a manifestation of polymorphism. So if you overload the == operator to take TypeA == TypeB, you are effectively interpreting TypeB as a TypeA if you are comparing elements in a list containing random elements of types A or B, you don't really care what comes in, since they can all be treated for equality. Like many other debates this one has defenders and haters.

But that's the end of the story for OOP.

In functional (declarative) languages (Lisp, F#) since the first class citizens are functions (vs Objects) polymorphism is expressed through relationships between functions and is manifested a bit differently. See Type Polymorphism

The last word I want to put out there is that I love Wikipedia as much as the rest, but you must always take articles with a grain of salt and never trust them blindly without confirming other sources. If you want to get the truth about the true principles of OOP, you should start here:

Object-Oriented Software Construction (Bertrand Meyer)

This is an example, I'm just curious as to how it would be achieved.

I want to enable only subclasses of Animal to be able to set the number of legs that they have, but I still want them to be able to set their own colour. Therefore, I want to restrict classes further down the hierarchy from then altering this Legs property.

public abstract class Animal
    public string Colour { get; protected set; }
    public int Legs { get; protected set; }

    public abstract string Speak();

public class Dog : Animal
    public Dog()
        Legs = 4;

    public override string Speak()
        return "Woof";

public sealed class Springer : Dog
    public Springer()
        Colour = "Liver and White";

public sealed class Chihuahua : Dog
    public Chihuahua()
        Colour = "White";

    public override string Speak()
        return "*annoying* YAP!";

For example, I want to eliminate this kind of subclass:

public sealed class Dalmatian : Dog
    public Dalmatian()
        Legs = 20;
        Colour = "Black and White";

How would this be achieved?

I'm aware that I could stop overriding in a subclass by sealing the implementation of a function in the parent class. I tried this with the Legs property but I couldn't get it to work.


Basically, this cannot be done using C#, as has been said by several posts in this thread. It has been argued that this is not proper OO, but I beg to disagree. For ease of reference, if you have it handy, check page 464+ of OOSC. The term to be used here is Invariant inheritance. The example given is a Rectangle (always four sides), inheriting from Polygon (any amount of sides larger then 2).

The rule is simple, quote:

The invariant property of a class is the boolean and of the assertions appearing in it invariant clause and of the invariant properties of its parents, if any.

Bertrand Meyer uses Design By Contract. To a lesser extend this is available to C# as well. With .NET 4.0, it has become available through Spec#.

About the argument that this is not proper OO: the argument is correct (preventing inheritance down the chain defies the contract), but without preventing inheritance, but adding restrictions on the values by using invariant clauses, the OO paradigm is saved and the inheritance chain remains intact. Something like this:

abstract class Animal
    public abstract Legs { get; }

class Dog : Animal
    public Dog { } 

    [InvariantMaximum(4), InvariantMinimum(4)]
    public override Legs { get { return 4; } }

class Labrador : Dog
    public override Legs { get { return 5; } }    // compiler error

class Chihuahua: Dog
    public override Legs { get { return 4; } }    // OK


Edit (solution with sealed, a follow-up on this)

As requested in one of the threads, here's a little example that works with sealing off the further inheriting of a member (something many here considered a breach of OO, while the language designers clearly understood that it isn't):

public abstract class Animal
    public abstract int Legs {get;}

public class Dog : Animal
    public sealed override int Legs {get { return 4; } }

public class Labrador : Dog
    public override int Legs { get; }    // compiler error

Currently when I'm refactoring in Clojure I tend to use the pattern:

(defn my-func [arg1 arg2]
  (assert (= demo.core.Record1 (class arg1) "Incorrect class for arg1: " (class arg1))
  (assert (= demo.core.Record1 (class arg2) "Incorrect class for arg2: " (class arg2))

That is, I find myself manually checking the return types in case a downstream part of the system modifies them to something I don't expect. (As in, if I refactor and get a stack-trace I don't expect, then I express my assumptions as invariants, and step forward from there).

In one sense, this is exactly the kind of invariant checking that Bertrand Meyer anticipated. (Author of Object Oriented Software Construction, and proponent of the idea of Design by Contract).

The challenge is that I don't find these out until run-time. I would be nice to find these out at compile-time - by simply stating what the function expects.

Now I know Clojure is essentially a dynamic language. (Whilst Clojure has a 'compiler' of sorts, we should expect the application of values to a function to only come to realisation at run-time.)

I just want a good pattern to make refactoring easier. (ie see all the flow-on effects of changing an argument to a function, without seeing it break on the first call, then moving onto the next, then moving onto the next breakage.)

My question is: Is there a good way to check return types when refactoring?

You have a couple of options, only one of which is "compile" time:


As Clojure is a dynamic language, tests are absolutely essential. They are your safety net when refactoring. Even in statically typed languages tests are still of use.

Pre and Post Conditions

They allow you to verify your invariants by adding metadata to your functions such as in this example from Michael Fogus' blog:

(defn constrained-fn [f x]
  {:pre  [(pos? x)]
   :post [(= % (* 2 x))]}
  (f x))

(constrained-fn #(* 2 %) 2)
;=> 4
(constrained-fn #(float (* 2 %)) 2)
;=> 4.0
(constrained-fn #(* 3 %) 2)
;=> java.lang.Exception: Assert failed: (= % (* 2 x)


core.typed is the only option in this list that will give you compile time checking. Your example would then be expressed like so:

(ann  my-func (Fn [Record1 Record1 -> ResultType]))
(defn my-func [arg1 arg2]

This comes at the expense of running core.typed as a seperate action, possibly as part of your test suite.

And still on the realm of runtime validation/checking, there are even more options such as bouncer and schema.

Is there any website where people share and discuss good examples of object-oriented design?

Ideally such website should be populated with posts of the following structure:

  • Concise description of the problem, including definitions, links, etc.
  • Several attempts of OO design, diagrams, pseudocode listings (voted up/down by users)
    • Comments (also voted by users)

Currently I'm looking for a source of inspiration.


Object Oriented Software Construction - Betrand Mayer

He's the man that originated the Eiffel language, the most complete analysis of OO software construction I've read.

Well I can't point you to web sites, but I can refer you to some great books :

Of course, those are C++ books, but a lot of concepts in them applies to much more than just C++

I've looked up the difference on the microsoft site but can't really see the difference. links to the website are below

Any additional explaination would be great

Using visual studio c#

Requires is a precondition, meaning that the condition specified must be true prior to the method being invoked. Ensures is a postcondition, meaning that the method guarantees that the condition specified will be true after the method call is complete.

Preconditions and/or postconditions may be violated while the method is executing: the tests are done upon entry to and exit from of the method, respectively. An invariate condition is a contract that says that the specified condition always holds true.

Read Bertrand Meyer's Object-Oriented Software Construction for more [much more] detail. This paper by Meyer is shorter [much shorter].

Can someone explain the concepts that Spec# might be moving into C# 4.0, regarding Code Contracts?

  • What are code contracts (Looks to be a compile time checking pattern)
  • should I be excited about this?
  • Am I correct in assuming that we move what would be runtime checks to compile time?


I personally am a big fan of a guy called Bertrand Meyer who wrote this book called Object Oriented Software Contruction and created a language called Eiffel which endoreses Design By Contract or Contract based programming.

  1. Code Contract is a kind of agreement between 2 software entities that may or may not interact. More or less like interfaces but more precise.
  2. I am not sure if everyone should or would be excited about this.
  3. Your assumption is somewhat correct.

You might want to see this series of videos link

Environment: Visual Studio 2012, .NET 4 Framework, ASP.NET web application (C#)

I'd like to know the best, most advisable approach to accomplish limiting incoming arguments (of any type...int, string, etc...) to a predefined set of desired values. I'd like to know the industry-accepted best way.

(the following code does not work - it's just to better illustrate the question)
Lets say I have a utilities class something like this:

public class Utilities
    public string ConvertFromBytes(int intNumBytes, string strOutputUnit)
        //determine the desired output
            case "KB":
                //Kilobytes - do something
            case "MB":
                //Megabytes - do something
            case "GB":
                //Gigabytes - do something
        //Finish converting and return file size string in desired format...

Then, in one of my pages, I have something like this:

Utilities ut = new Utilities();
strConvertedFilesize = ut.ConvertFromBytes(1024,

What I'd like to know is, in the line of code immediately above, what is the best way for me to make it such that "KB", "MB", or "GB" are the only possible string values that can be entered for the "strOutputUnit" parameter? (And) Preferably with intellisense showing the possible available options?

Update: JaredPar I'm using your suggestion and came up with the following reworked code:

public class Utilities
        public enum OutputUnit { 

        public string ConvertFromBytes(int intNumBytes, OutputUnit ou)
            //determine the desired output
            switch (ou)
                case OutputUnit.KB:
                    //Kilobytes - do something
                case OutputUnit.MB:
                    //Megabytes - do something
                case OutputUnit.GB:
                    //Gigabytes - do something
                    //do something crazy
            //Finish converting and return file size string in desired format...
            return "";

and to call it:

Utilities ut = new Utilities();
string strConvertedFilesize = ut.ConvertFromBytes(1024, Utilities.OutputUnit.MB);

Is this above approach the most efficient way of using the enums as arguments? In the line directly above, having to type in the "Utilities.OutputUnit." part in my method call feels a little clunky...of course I could always assign shorter names, but are there any ways to better streamline the above?

BTW Thanks everyone for the answers. JaredPar i will choose yours since it's correct and came in first. The other answers were very informative and helpful however - thanks to all.

In addition to using an enum in your specific case, from a more general perspectice, you might take a look at (by no means inclusive -- there's more than one way to do it) these:

Here's an article by Jon Skeet on code contracts: http://www.infoq.com/articles/code-contracts-csharp.

The ur-text for design-by-contract — and arguably the best overall book on O-O design — is Bertrand Meyer's Object-Oriented Software Construction, 2nd ed.. The Eiffel language has design-by-contract at its core: Eiffel/Eiffel Studio is a full-fledged Eiffel IDE that produces CLR-compliant assemblies.

I was investigating the concept of Multiple Inheritance (it's been almost 10 years since I have coded C++ in anger, and was simply academically interested in the concept). I found this reference on Wikipedia.

One criticism of MI they list is "Not being able to explicitly inherit multiple times from a single class". I'm confused about this statement, and not 100% sure what this is referring to.

Surely a class inheritance describes the structure of a class, and to inherit multiple times from the same class would simply reiterate the same class contract, so I can't see what benefit it would give to justify the criticism. Would explicit inheritance suppose multiple instances of the class functions and properties?

I would like to understand what this criticism is referring to, and why it is implicitly unavailable to Multiple Inheritance enabled languages.

Similarly I've not coded C++ in anger for over 5 years now having switched to C#. I can't really remember whether I used multiple inheritance much, but I don't miss it, especialy as I can code to interfaces and that I use composition more these days.

However, in the best OO book ever - probably ;) - Betrand Meyer makes a good defense of multiple inheritance. He also makes a similar defense here.

I have several related database tables and I would like to treat their rows as objects and their tables as something like lists. What are the considerations that I have to keep in mind (for instance, ensuring that the objects stay consistent with one another and with the database, lazy loading)? And what is a good design pattern for implementing this? As I imaging the answer is pretty involved, a link to a good website would suffice.

On the other hand, if someone knows of Hibernate-like thing that really works on Android, I might give that a whirl (although it's a little heavy weight for me right now).

One of the best places to look for best practices on this subject is Chapter 31 - Object persistence and databases in Object-Oriented Software Construction by Bertrand Meyer.

Can some please suggest a good book or resource where I can learn Object Oriented Design principles.

I am designing a software product (both web based and in Android), and I find to hard to get some good material on how to design software systems.

I am aware of Design Patterns, but I not sure of which one to use when.

Thanks in advance.

The best book I know about OOP is Object Oriented Software Construction by Meyer, he explains each of his choice or recommendations. He is sometimes provocative but he is one of the few who state clearly his reasonning. So many just say it is good practive and leave at that. Very good book.

An alternative is A Touch of Class by the same author which is cheaper but focus on the same topics.

About design patterns, I suppose the best book is Head first design Patterns, it is a list of well crafted case studies, each being a good example for a design pattern. Not a deep book, but one which communicate very efficiently and fast to read.