A semi-automated iterative process for detecting feature interactions

<p>Apresenta&ccedil;&atilde;o do artigo: &quot;A semi-automated iterative process for detecting feature&nbsp;interactions&quot; para trilha de Research do SBES 2020.</p> <p>Abstract:&nbsp;For configurable systems, features developed and tested separately&nbsp;may present a different behavior when combined in a system. Since&nbsp;software products might be composed of thousands of features,&nbsp;developers should guarantee that all valid combinations work properly.&nbsp;However, features can interact in undesired ways, resulting&nbsp;in failures. A feature interaction is an unpredictable behavior that&nbsp;cannot be easily deduced from the individual features involved. We&nbsp;proposed VarXplorer to inspect feature interactions as they are&nbsp;detected and incrementally classify them as benign or problematic.&nbsp;Our approach provides an iterative analysis of feature interactions&nbsp;allowing developers to focus on suspicious cases. In this paper, we&nbsp;present an experimental study to evaluate our iterative process of&nbsp;tests execution. We aim to understand how VarXplorer could be&nbsp;used for a faster and more objective feature interaction analysis. Our&nbsp;results show that VarXplorer may reduce up to 50% the amount of&nbsp;interactions a developer needs to check during the testing process.</p>