Code Quality
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Two IT departments complete the same amount of work each year, but one takes longer than the other. Code quality issues like defects, quality problems, and complexity hinder productivity and speed. Addressing each factor individually, such as through refactoring, can help reduce their multiplicative negative effects and allow teams to work faster and complete more work. Regular refactoring is important but challenging due to fears around testing and education as well as a lack of prioritization and proper tools.
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![A Tale of Two IT Departments ,[object Object],[object Object],1 Year’s Worth of Work (IT department #1) 1 Year’s Worth of Work (IT department #2) = Completed Work](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Code Quality
- 1. Code Quality: Defects, Quality Problems, Complexity Factors that affect a company’s ability to deliver frequently
Editor's Notes
- A “defect” is code that doesn’t fulfill requirements correctly
- Even if you think you know what you’re doing, you’re afraid that you’ll break other parts of the application.
- The combination of quality problems and complexity and their tendency to get worse over time is often called “code rot”
- I have personally witnessed developers making locally optimal choices for a variety of reasons: Don't understand the global picture Don't have time to make the globally optimal change The globally optimal change would cause risky ripples because of bad dependencies and encapsulation Fear the time it would take to test (unit, smoke, regression) a change that impacts more of the system I've also witnessed a locally optimal change that: Was only the tip of the ice berg, so other developers had to go and fix the other "tips" later Made it harder to fix the real problem later Our tools are being devalued because we don't clean up our code TODOs are too numerous to look at, so we never know what really needs to be done Ditto for "warnings" Ditto for "deprecations"