FSE

Machine learning has radically changed what computing can accomplish, including the limits of what software engineering can do. I will discuss recent software engineering advances machine learning has enabled, from automatically repairing software ...

Neural Language Models for code have lead to interesting applications such as code completion and bug fix generation. Another type of code related application is the identification of code quality issues such as repetitive code and unnatural code. ...

Machine programming (MP) is an emerging field at the intersection of deterministic and probabilistic computing, and it aims to assist software and hardware engineers, among other applications. Along with powerful compute resources, MP systems often ...

Software reuse has proven to be an effective strategy for developers to significantly increase software quality, reduce costs and increase the effectiveness of software development. Research in software reuse typically addresses two main hurdles: ...

Refactorings constitute the most direct and comprehensible ap-proach for addressing software quality issues, stemming directly from identified code smells. Nevertheless, despite their popularity in both the research and industrial communities: (a) the ...

Some software projects collect vast crash reports from testing and end users, then organize them in groups to efficiently fix bugs. This task is crash report bucketing. In particular, a high precision and fast speed crash similarity measurement ...