Developer-Centric Knowledge Mining from Large Open-Source Software Repositories (CROSSMINER)

• Published in: Software Technologies: Applications and Foundations pp. 375 - 384
• Main Authors: Bagnato, Alessandra, Barmpis, Konstantinos, Bessis, Nik, Cabrera-Diego, Luis Adrián, Di Rocco, Juri, Di Ruscio, Davide, Gergely, Tamás, Hansen, Scott, Kolovos, Dimitris, Krief, Philippe, Korkontzelos, Ioannis, Laurière, Stéphane, Lopez de la Fuente, Jose Manrique, Maló, Pedro, Paige, Richard F., Spinellis, Diomidis, Thomas, Cedric, Vinju, Jurgen
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• ISBN: 3319747290; 9783319747293
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-74730-9_33

Deciding if an OSS project meets the required standards for adoption is hard, and keeping up-to-date with a rapidly evolving project is even harder. Making decisions about quality and adoption involves analysing code, documentation, online discussions, and issue trackers. There is too much information to process manually and it is common that uninformed decisions have to be made with detrimental effects. CROSSMINER aims to remedy this by automatically extracting the required knowledge and injecting it into the developers’ Integrated Development Environments (IDE), at the time they need it to make design decisions. This allows them to reduce their effort in knowledge acquisition and to increase the quality of their code. CROSSMINER uniquely combines advanced software project analyses with online IDE monitoring. Developers will be monitored to infer which information is timely, based on readily available knowledge stored earlier by a set of advanced offline deep analyses of related OSS projects.