If OOP makes problems with large projects, what doesn't?

Posted by osca on Stack Overflow See other posts from Stack Overflow or by osca
Published on 2010-04-11T22:19:07Z Indexed on 2010/04/11 22:23 UTC
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I learned Python OOP at school. My (good in theory, bad in practice) informatics told us about how good OOP was for any purpose; Even/Especially for large projects.

Now I don't have any experience with teamwork in software development (what a pity, I'd like to program in a team) and I don't know anything about scaling and large projects either.

Since some time I'm reading more and more about that object-oriented programming has (many) disadvantages when it comes to really big and important projects/systems.

I got a bit confused by that as I always thought that OOP helped you keep large amounts of code clean and structured.

  • Now why should OOP be problematic in large projects?
  • If it is, what would be better? Functional, Declarative/Imperative?

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