Oyster: an approach to software quality analysis using metrics association rules

• Daniel D. C. Ribeiro UFF
• Alexandre Plastino UFF
• Leonardo Murta UFF

DOI: https://doi.org/10.5753/sbqs.2013.15299

Abstract

A key element to control the software quality, not only reacting to its variation, is the understanding of which factors influence the quality attributes and how they influence each other. In this work, we present the Ostra approach, which allows the historical analysis of software by mining association rules of its metrics, extracted from the historic information storedin version control systems. The Ostra’s goal is to provide information to decision-making process. We also present experiments in which the Ostra approach is applied to real projects. With these experiments, it was possible to find evidences that the proposed approach can achieve its goals.

Keywords: Software Quality, Metrics Association Rules, Oyster Approach

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