A comprehensive literature survey on approaches for mining software repositories (MSR) in
the context of software evolution is presented. In particular, this survey deals with those …

Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using
learned models, ie, Software-2.0, has gained substantial adoption. However, we do not …

Many software engineering research papers rely on time-based data (eg, commit
timestamps, issue report creation/update/close dates, release dates). Like most real-world …

Traceability is the only means to ensure that the source code of a system is consistent with
its requirements and that all and only the specified requirements have been implemented by …

The paper presents an approach that combines conceptual and evolutionary techniques to
support change impact analysis in source code. Information Retrieval (IR) is used to derive …

The Mining Software Repositories (MSR) research community has grown significantly since
the first MSR workshop was held in 2004. As the community continues to broaden its scope …

An approach to recover/discover traceability links between software artifacts via the
examination of a software system's version history is presented. A heuristic-based approach …

The paper presents an approach that combines conceptual and evolutionary techniques to
support change impact analysis in source code. Conceptual couplings capture the extent to …

Mining software repositories (MSR) is an important area of research. An international
workshop on MSR has been established under the umbrella of international conference on …

Impact analysis methods are commonly employed to reduce the likelihood of encountering
faulty or unexpected behavior from a software program as a result of developers' oblivious …