OSSMETER: Automated Measurement And Analysis Of Open Source Software
Bruno Almeida, Sophia Ananiadou, Alessandra Bagnato, Alberto Berreteaga, Juri Di Rocco, Davide Di Ruscio, Dimitrios S. Kolovos, Ioannis Korkontzelos, Hansen, Scott, Pedro Maló, Nicholas Matragkas, Richard F. Paige, Jurgen J. Vinju · Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands · 2015
Abstract. Deciding whether an open source software (OSS) meets the required standards for adoption in terms of quality, maturity, activity of development and user support is not a straightforward process. It involves analysing various sources of information, including the project’s source code repositories, communication channels, and bug tracking systems. OSSMETER extends state-of-the-art tech-niques in the field of automated analysis and measurement of open-source soft-ware (OSS), and develops a platform that supports decision makers in the pro-cess of discovering, comparing, assessing and monitoring the health, quality, im-pact and activity of opensource software. To achieve this, OSSMETER computes trustworthy quality indicators by performing advanced analysis and integration of information from diverse sources including the project metadata, source code