Toward a learned project-specific fault taxonomy: application of software analytics

Abstract

This position paper argues that fault classification provides vital information for software analytics, and that machine learning techniques such as clustering can be applied to learn a project-(or organization-) specific fault taxonomy. Anecdotal evidence of this position is presented as well as possible areas of research for moving toward the posited goal.

Extended Fault Taxonomy of SOA-Based Systems

“…yaraghavan et al [12] have presented bug taxonomies with some bugs and challenges in the real software environment examples. Kidwell et al [13] have mentioned that fault classification provides vital information for software analytics and that machine learning techniques like clustering can be applied to learn a project-specific fault taxonomy.…”