Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …

Natural languages like English are rich, complex, and powerful. The highly creative and
graceful use of languages like English and Tamil, by masters like Shakespeare and …

In data mining, Frequent Itemsets Mining is a technique used in several domains with
notable results. However, the large volume of data in modern datasets increases the …

For decades, much software engineering research has been dedicated to devising
automated solutions aimed at enhancing developer productivity and elevating software …

Software companies spend over 45 percent of cost in dealing with software bugs. An
inevitable step of fixing bugs is bug triage, which aims to correctly assign a developer to a …

Previous studies have presented convincing arguments that a frequent pattern mining
algorithm should not mine all frequent patterns but only the closed ones because the latter …

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Software library documentation often describes individual methods' APIs, but not the
intended protocols and method interactions. This can lead to library misuse, and restrict …

Mining software engineering data has emerged as a successful research direction over the
past decade. In this position paper, we advocate Software Intelligence (SI) as the future of …

Abstract Context: In 2012, our paper “On the reproducibility of empirical software
engineering studies based on data retrieved from development repositories” was published …