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Making Software

Making Software

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Contents

Pt. 1. General Principles of Searching For and Using Evidence

Pt. 2. Specific Topics in Software Engineering

Ch. 9. An Automated Fault Prediction System

Ch. 10. Architecting: How Much and When?

Ch. 11. Conway’s Corollary

Ch. 12. How Effective Is Test-Driven Development?

Ch. 13. Why Aren’t More Women in Computer Science?

Why So Few Women?

Should We Care?

Ch. 14. Two Comparisons of Programming Languages

Ch. 15. Quality Wars: Open Source Versus Proprietary Software

Ch. 16. Code Talkers

Ch. 17. Pair Programming

Ch. 18. Modern Code Review

Ch. 19. A Communal Workshop or Doors That Close?

Ch. 20. Identifying and Managing Dependencies in Global Software Development

Ch. 21. How Effective Is Modularization?

Ch. 22. The Evidence for Design Patterns

Ch. 23. Evidence-Based Failure Prediction

Ch. 24. The Art of Collecting Bug Reports

Ch. 25. Where Do Most Software Flaws Come From?

Ch. 26. Novice Professionals: Recent Graduates in a First Software Engineering Job

Ch. 27. Mining Your Own Evidence

Ch. 28. Copy-Paste as a Principled Engineering Tool

Ch. 29. How Usable Are Your APIs?

Ch. 30. What Does 10x Mean? Measuring Variations in Programmer Productivity

Appx. A. Contributors

URL

Help

Chapter 13. Why Aren’t More Women in Computer Science?

—Michele A. Whitecraft

—Wendy M. Williams

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