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gaehler m software engineering made easy 2024

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Textbook in PDF format Did you learn what a class is but nobody told you how to use it exactly? This book explains it to you. Among with 49 other things. "Any fool can write code a computer can understand. Good programmers write code humans can understand" - Martin Fowler There is an infinite amount of possibilities how you can write code with a certain output. But which is the best one? The one you understand most easily. This book covers everything that I could think of. From naming to classes, comments, and even some small chapters on software architecture or requirements engineering. Currently the book is about version 0.8. It is very well readable and has been mostly corrected using an AI tool, but it still has a few comments about things left to do. I would be very pleased with any feedback you could send to me. This book contains relatively few code examples. It’s more about general concepts of software engineering, rather than concrete code examples. Still, some concepts are easier to understand with a few lines of code. Therefore, I tried to create some code examples. Even though it’s quite challenging to find concise examples that are still expressive enough to fit into a book. As for the programming languages I chose, mostly Python and some C++. Not because these languages would be better than, for example, JavaScript, but rather because these are the languages I know. I chose two programming languages because there are some concepts that I can only explain using one or the other. Though there are only a few things that depend on the programming language. Most of the explanations provided here consist of general recommendations that are applicable to almost any programming language. 1. Introduction to Software Engineering 2. Getting started 3. One sentence summary 4. The short story behind this book 5. Preface 6. Software Engineering 7. Good code: a list of rules 8. Understandable code 9. Single Responsibility Principle 10. Levels of abstraction 11. Interfaces 12. Naming 13. Functions 14. Classes 15. Inheritance 16. Data Types 17. Properties of Variables 18. Introduction to Testing 19. Types of Tests 20. Writing Better Code with Tests 21. SOLID principles 22. Software Engineering Principles 23. Programming Paradigms 24. Programming Languages Java and C++ 25. Physical Laws of Code 26. Bugs, Errors, Exceptions 27. Complexity 28. Dependencies 29. Decoupling 30. Software Architecture 31. Design Patterns 32. Domain Driven Design 33. 3rd party software 34. Refactoring Fundamentals 35. Refactoring Techniques 36. Refactoring Legacy Code 37. Performance Optimization 38. Comments 39. Logging 40. Data files 41. Setting up a project 42. Tools 43. Working in teams 44. Code review 45. Agile 46. Requirements Engineering 47. Planning 48. DevOps 49. Mental health 50. Hiring and getting hired 51. Examples 52. About Copilot 53. Further reading 54. Outlook 55. Frequently used Abbreviations

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gaehler m software engineering made easy 2024

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