Assessing the Quality of Evolving Haskell Systems by Measuring Structural Inequality
summary
Empirical study analyzes 135 Haskell projects to parameterize an ideal value deviation benchmark, then correlates aggregated module metrics with post-release defects across Cabal (18 releases), GHC (21), and Pandoc (29). Key claims: module size inequality measured by the Gini coefficient consistently correlates with more post-release defects; coupling shows correlation only in GHC; combining inequality with IVD rarely improves prediction. A Haskell static analyzer (open source on Hackage) finds structural shifts using a 4% change threshold and root-cause traces (e.g., introduction of 166 new modules).
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chapters (9)
- 0:00Intro
- 3:15Aggregation Methods: from Micro-level to Macro-level
- 6:40Ideal Value Deviation (IVD) Function
- 8:45Evolution and Software Quality
- 9:55Research Objectives & Hypotheses
- 11:10Parametrizing the IVD Function
- 15:48The Relationship between Metric Distribution and Post-Release Defects
- 18:29Structural Shifts
- 20:40Concluding
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