OSSMETER

OSSMETER aims to extend the scope and eff ectiveness of OSS analysis and measurement with novel contributions on language-agnostic and language-specific methods for source code analysis, combined with state-of-the-art Natural Language Processing (NLP) and text mining techniques such as question/answer extraction, sentiment analysis and thread clustering to analyse and integrate relevant information extracted from communication channels (newsgroups, forums, mailing lists), and bug tracking systems supporting OSS projects, in order to provide a more comprehensive picture of the quality indicators of OSS projects and facilitate better evidence-based decision making and monitoring... OSSMETER also aims at providing metamodels for capturing the meta-information relevant to OSS projects (e.g. types and details of source code repositories, communication channels and bug tracking systems, types of licences, number of downloads etc.), and eff ective quality indicators, in a rigorous and..

Primary location: York United Kingdom