Abstract
DevOps predicates the continuity between Development and Operations teams at an unprecedented scale. Also, the continuity does not stop at tools, or processes but goes beyond into organizational practices, collaboration, co-located and coordinated effort. We conjecture that this unprecedented scale of continuity requires predictive analytics which are omniscient, that is (i) transversal to the technical, organizational, and social stratification in software processes and (ii) correlate all strata to provide a live and holistic snapshot of software development, its operations, and organization. Elaborating this conjecture, we illustrate a set of metrics to be used in the DevOps scenario and overview challenges and future research directions.
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CITATION STYLE
Tamburri, D. A., Di Nucci, D., Di Giacomo, L., & Palomba, F. (2019). Omniscient devops analytics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11350 LNCS, pp. 48–59). Springer Verlag. https://doi.org/10.1007/978-3-030-06019-0_4
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