Evaluating the quality of Drupal software modules

Denham, B
Pears, R
Connor, AM
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Journal Article
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World Scientific Publishing

Evaluating software modules for inclusion in a Drupal website is a crucial and complex task that currently requires manual assessment of a number of module facets. This study applied data-mining techniques to identify quality-related metrics associated with highly popular and unpopular Drupal modules. The data-mining approach produced a set of important metrics and thresholds that highlight a strong relationship between the overall perceived reliability of a module and its popularity. Areas for future research into opensource software quality are presented, including a proposed module evaluation tool to aid developers in selecting high-quality modules.

Software quality; Data mining; Drupal
International Journal of Software Engineering and Knowledge Engineering, Volume 28, Issue 05
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