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Evaluating the quality of Drupal software modules

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Journal Article

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World Scientific Publishing

Abstract

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.

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International Journal of Software Engineering and Knowledge Engineering, Volume 28, Issue 05

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Authors can post the preprints of their research papers anywhere at any time. Authors can also post the accepted author manuscripts of their research papers freely available at the end of an embargo period of 12 months following official publication or later, by placing them on personal websites, subject or institutional repositories or as stipulated by the Funding Agency.