A Data Mining Methodology for Evaluating Maintainability according to ISO / IEC-9126 Software Engineering-Product Quality Standard

This paper presents ongoing work on using data mining to evaluate a software system’s maintainability according to the ISO/IEC-9126 quality standard. More specifically it proposes a methodology for knowledge acquisition by integrating data from source code with the expertise of a software system’s evaluators A process for the extraction of elements from source code and Analytical Hierarchical Processing for assigning weights to these data are provided; K-Means clustering is then applied on these data, in order to produce system overviews and deductions. The methodology is evaluated on Apache Geronimo, a large Open Source Application Server; results are discussed and conclusions are presented together with directions for future work.

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