21 citations · 27 across the 4 of their papers we have counts for
5 papers
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee +3
Software Quality Assurance (SQA) planning aims to define proactive plans, such as defining maximum file size, to prevent the occurrence of software defects in future releases. To a…
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John Grundy
Software defect prediction models are classifiers that are constructed from historical software data. Such software defect prediction models have been proposed to help developers o…
Explainable AI for Software Engineering
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy
Artificial Intelligence/Machine Learning techniques have been widely used in software engineering to improve developer productivity, the quality of software systems, and decision-m…
AutoSpearman: Automatically Mitigating Correlated Metrics for Interpreting Defect Models
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude
The interpretation of defect models heavily relies on software metrics that are used to construct them. However, such software metrics are often correlated to defect models. Prior…
The Impact of Correlated Metrics on Defect Models
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Ahmed E. Hassan
Defect models are analytical models that are used to build empirical theories that are related to software quality. Prior studies often derive knowledge from such models using inte…