2nd workshop on DevOps and software analytics for continuous engineering and improvement
Konstantinos Kontogiannis, Chris Brealey, Alberto Giammaria, Brian Countryman, Marios Grigoriou, Miguel Jiménez, Marios Fokaefs, Faryaaz Kassam, Francis Bordeleau · Computer Science and Software Engineering · 2018
The workshop participants focused and discussed the following areas a) techniques, tools, and schemas to mine software repositories including DevOps environments as well as techniques for denoting information extracted from these repositories. Such information includes not only source code but also deployment scripts, configuration files, build specifications, bug reports, version histories, developers comments and other notes; b) techniques to reconcile software system related data, obtained from such different and diverse DevOps sources (e.g. version control systems, bug reporting systems, collaboration tools and testing frameworks); c) static and dynamic software analysis techniques in order to identify and model direct and indirect dependencies in complex systems, with emphasis on micro-services based systems; and d) software analytics techniques in order to assess deployment risks in order to support continuous maintenance and deployment by providing insights on deploy or no-deploy decision making choices. The workshop topics are related to the IBM DevOps Analytics, IBM DevOps Insights, and IBM DevOps Continuous Delivery (Open Toolchain) frameworks.