Using Citation Influence to Predict Software Defects
|Title||Using Citation Influence to Predict Software Defects|
|Publication Type||Conference Proceedings|
|Year of Publication||2013|
|Authors||Hu, Wei, and Wong Kenny|
|Secondary Title||10th Working Conference on Mining Software Repositories|
|Keywords||eclipse, netbeans, social network|
The software dependency network reflects structure and the developer contribution network reflects process. Previous studies have used social network properties over these networks to predict whether a software component is defect-prone. However, these studies do not consider the strengths of the dependencies in the networks. In our approach, we use a citation influence topic model to determine dependency strengths among components and developers, analyze weak and strong dependencies separately, and apply social network properties to predict defect-prone components. In experiments on Eclipse and NetBeans, our approach has higher accuracy than prior work.