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2005
IEEE

Maintainability Prediction: A Regression Analysis of Measures of Evolving Systems

9 years 2 months ago
Maintainability Prediction: A Regression Analysis of Measures of Evolving Systems
In order to build predictors of the maintainability of evolving software, we first need a means for measuring maintainability as well as a training set of software modules for which the actual maintainability is known. This paper describes our success at building such a predictor. Numerous candidate measures for maintainability were examined, including a new compound measure. Two datasets were evaluated and used to build a maintainability predictor. The resulting model, Maintainability Prediction Model (MainPredMo), was validated against three held-out datasets. We found that the model possesses predictive accuracy of 83% (accurately predicts the maintainability of 83% of the modules). A variant of MainPredMo, also with accuracy of 83%, is offered for interested researchers.
Jane Huffman Hayes, Liming Zhao
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where ICSM
Authors Jane Huffman Hayes, Liming Zhao
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