Readily available software analysis and analytics tools are often operated within external
services, where the measured software analysis data are kept internally and no external …

Software analytics integrated with complex databases can deliver project intelligence into
the hands of software engineering (SE) experts for satisfying their information needs. A new …

To facilitate the development of recommender systems for software engineering (RSSEs),
this paper introduces LEV4REC, a model-driven approach supporting all RSSE …

Repository mining research is a data-intensive domain with a focus on source code. There
are many ways to search for code in the worldwide software ecosystem, but these search …

Scheduling tasks close to their associated data is crucial in distributed systems to minimize
network traffic and latency. Some Big Data frameworks like Apache Spark employ locality …

Software projects under version control grow with each commit, accumulating up to
hundreds of thousands of commits per repository. Especially for such large projects, the …

Mining of software repositories (MSR) provides opportunities to enhance software
engineering activities and to analyze violations to prevent it. Software engineering quality …

Recommender systems (RSs) are complex software systems that suggest relevant items of
interest given a specific application domain to users. The development of RSs encompasses …

The introduction of Git 1, a version control system, has radically changed the software
development process. Currently, Git is considered an essential skill for software engineering …

Mining software repositories at a large scale typically requires substantial computational and
storage resources. This creates an increasing need for repository mining programs to be …