TY - GEN
T1 - Omniscient devops analytics
AU - Tamburri, Damian A.
AU - Di Nucci, Dario
AU - Di Giacomo, Lucio
AU - Palomba, Fabio
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85061105307&partnerID=MN8TOARS
U2 - 10.1007/978-3-030-06019-0_4
DO - 10.1007/978-3-030-06019-0_4
M3 - Conference contribution
BT - DEVOPS 2018: Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment
ER -