An expert system for determining candidate software classes for refactoring
Expert Systems with Applications: An International Journal
TQL: A query language to support traceability
TEFSE '09 Proceedings of the 2009 ICSE Workshop on Traceability in Emerging Forms of Software Engineering
Assessment of maintainability metrics for object-oriented software system
ACM SIGSOFT Software Engineering Notes
Rank-based refactoring decision support: two studies
Innovations in Systems and Software Engineering
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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.