Table of Contents for
Your Code as a Crime Scene

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Your Code as a Crime Scene by Adam Tornhill Published by Pragmatic Bookshelf, 2015
  1. Title Page
  2. Your Code as a Crime Scene
  3. Your Code as a Crime Scene
  4. For the Best Reading Experience...
  5. Table of Contents
  6. Early praise for Your Code as a Crime Scene
  7. Foreword by Michael Feathers
  8. Acknowledgments
  9. Chapter 1: Welcome!
  10. About This Book
  11. Optimize for Understanding
  12. How to Read This Book
  13. Toward a New Approach
  14. Get Your Investigative Tools
  15. Part 1: Evolving Software
  16. Chapter 2: Code as a Crime Scene
  17. Meet the Problems of Scale
  18. Get a Crash Course in Offender Profiling
  19. Profiling the Ripper
  20. Apply Geographical Offender Profiling to Code
  21. Learn from the Spatial Movement of Programmers
  22. Find Your Own Hotspots
  23. Chapter 3: Creating an Offender Profile
  24. Mining Evolutionary Data
  25. Automated Mining with Code Maat
  26. Add the Complexity Dimension
  27. Merge Complexity and Effort
  28. Limitations of the Hotspot Criteria
  29. Use Hotspots as a Guide
  30. Dig Deeper
  31. Chapter 4: Analyze Hotspots in Large-Scale Systems
  32. Analyze a Large Codebase
  33. Visualize Hotspots
  34. Explore the Visualization
  35. Study the Distribution of Hotspots
  36. Differentiate Between True Problems and False Positives
  37. Chapter 5: Judge Hotspots with the Power of Names
  38. Know the Cognitive Advantages of Good Names
  39. Investigate a Hotspot by Its Name
  40. Understand the Limitations of Heuristics
  41. Chapter 6: Calculate Complexity Trends from Your Code’s Shape
  42. Complexity by the Visual Shape of Programs
  43. Learn About the Negative Space in Code
  44. Analyze Complexity Trends in Hotspots
  45. Evaluate the Growth Patterns
  46. From Individual Hotspots to Architectures
  47. Part 2: Dissect Your Architecture
  48. Chapter 7: Treat Your Code As a Cooperative Witness
  49. Know How Your Brain Deceives You
  50. Learn the Modus Operandi of a Code Change
  51. Use Temporal Coupling to Reduce Bias
  52. Prepare to Analyze Temporal Coupling
  53. Chapter 8: Detect Architectural Decay
  54. Support Your Redesigns with Data
  55. Analyze Temporal Coupling
  56. Catch Architectural Decay
  57. React to Structural Trends
  58. Scale to System Architectures
  59. Chapter 9: Build a Safety Net for Your Architecture
  60. Know What’s in an Architecture
  61. Analyze the Evolution on a System Level
  62. Differentiate Between the Level of Tests
  63. Create a Safety Net for Your Automated Tests
  64. Know the Costs of Automation Gone Wrong
  65. Chapter 10: Use Beauty as a Guiding Principle
  66. Learn Why Attractiveness Matters
  67. Write Beautiful Code
  68. Avoid Surprises in Your Architecture
  69. Analyze Layered Architectures
  70. Find Surprising Change Patterns
  71. Expand Your Analyses
  72. Part 3: Master the Social Aspects of Code
  73. Chapter 11: Norms, Groups, and False Serial Killers
  74. Learn Why the Right People Don’t Speak Up
  75. Understand Pluralistic Ignorance
  76. Witness Groupthink in Action
  77. Discover Your Team’s Modus Operandi
  78. Mine Organizational Metrics from Code
  79. Chapter 12: Discover Organizational Metrics in Your Codebase
  80. Let’s Work in the Communication Business
  81. Find the Social Problems of Scale
  82. Measure Temporal Coupling over Organizational Boundaries
  83. Evaluate Communication Costs
  84. Take It Step by Step
  85. Chapter 13: Build a Knowledge Map of Your System
  86. Know Your Knowledge Distribution
  87. Grow Your Mental Maps
  88. Investigate Knowledge in the Scala Repository
  89. Visualize Knowledge Loss
  90. Get More Details with Code Churn
  91. Chapter 14: Dive Deeper with Code Churn
  92. Cure the Disease, Not the Symptoms
  93. Discover Your Process Loss from Code
  94. Investigate the Disposal Sites of Killers and Code
  95. Predict Defects
  96. Time to Move On
  97. Chapter 15: Toward the Future
  98. Let Your Questions Guide Your Analysis
  99. Take Other Approaches
  100. Let’s Look into the Future
  101. Write to Evolve
  102. Appendix 1: Refactoring Hotspots
  103. Refactor Guided by Names
  104. Bibliography
  105. You May Be Interested In…

Witness Groupthink in Action

Let’s get back to our story of Thomas Quick. Quick was sentenced for eight murders before he stopped cooperating in 2001. Without Quick’s confessions, there was little to do—remember, there was no hard evidence in any of the murder cases. It took almost ten years for the true story to unfold.

What had happened was that Thomas Quick was treated with a pseudoscientific version of psychotherapy back in the 1990s. The therapists managed to restore what they thought were recovered memories. (Note that the scientific support for such memories is weak at best.) The methods they used are almost identical to how you implant false memories. (See The Paradox of False Memories.) Quick also received heavy dozes of benzodiazepines, drugs that may make their users more suggestible.

The murder investigation started when the therapists told the police about Quick’s confessions. Convinced by the therapists’ authority that repressed memories were a valid scientific theory, the lead investigators started to interrogate Quick.

These interrogations were, well, peculiar. When Quick gave the wrong answers, he got help from the chief detective. After all, Quick was fighting with repressed memories and needed all the support he could get. Eventually, Quick got enough clues to the case that he could put together a coherent story. That was how he was convicted.

By now, you can probably see where the Thomas Quick story is heading. Do you recognize any social biases in it? To us in the software world, the most interesting aspects of this tragic story are in the periphery. Let’s look at them.

Know the Role of Authorities

Once the Quick scandal with its false confessions was made public, many people started to speak up. These people, involved in the original police investigations, now told the press about the serious doubts they’d had from the very start. Yet few of them had spoken up ten years earlier, when Quick was originally convicted.

The social setting was ideal for pluralistic ignorance—particularly since the main prosecutor was a man of authority and was convinced of Quick’s guilt. He frequently expressed that opinion and contributed to the groupthink.

From what you now know about social biases, it’s no wonder that a lot of smart people decided to keep their opinions to themselves and play along. Luckily, you’ve also got some ideas for how you can avoid having similar situations unfold in your own teams. Let’s add one more item to that list by discussing a popular method that often does more harm than good—brainstorming.

Move Away from Traditional Brainstorming

If you want to watch process loss in full bloom, check out any brainstorming session. It’s like a best-of collection of social and cognitive biases. That said, you can be productive with brainstorming, but you need to change the format drastically. Here’s why and how.

The original purpose of brainstorming was to facilitate creative thinking. The premise is that a group can generate more ideas than its individuals can on their own. Unfortunately, research on the topic doesn’t support that claim. On the contrary, research has found that brainstorming produces fewer ideas than expected and that the quality of the produced ideas may suffer as well.

The are several reasons for the dramatic process loss. For example, in brainstorming we’re told not to criticize ideas. In reality, everyone knows they’re being evaluated anyway, and they behave accordingly. Further, the format of brainstorming allows only one person at a time to speak. That makes it hard to follow up on ideas, since we need to wait for our time to talk. In the meantime, it’s easy to be distracted by other ideas and discussions.

To reduce the process loss, you need to move away from the traditional brainstorming format. Studies suggest that a well-trained group leader may help you eliminate process loss. Another promising alternative is to move to computers instead of face-to-face communication. In that setting, where social biases are minimized, electronic brainstorming may actually deliver on its promise. (See Idea Generation in Computer-Based Groups: A New Ending to an Old Story [VDC94] for a good overview of the research.)

Now you know what to avoid and watch out for. Before we move on, take a look at some more tools you can use to reduce bias.