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, organiza- tional, 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.
Original languageEnglish
Title of host publicationSoftware Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment - 1st International Workshop, DEVOPS 2018, Revised Selected Papers
Subtitle of host publicationFirst International Workshop, DEVOPS 2018, Chateau de Villebrumier, France, March 5-6, 2018, Revised Selected Papers
EditorsBertrand Meyer, Bertrand Meyer, Manuel Mazzara, Jean-Michel Bruel
PublisherSpringer International Publishing
Pages48-59
Number of pages12
Volume11350
Edition1
ISBN (Electronic)978-3-030-06019-0
ISBN (Print)978-3-030-06018-3
DOIs
Publication statusPublished - 2019
EventFirst International Workshop on Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment - Chateau de Villebrumier, Villebrumier, France
Duration: 5 Mar 20186 Mar 2018
https://www.laser-foundation.org/devops/2018/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11350 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Workshop

WorkshopFirst International Workshop on Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment
Abbreviated titleDEVOPS
CountryFrance
CityVillebrumier
Period5/03/186/03/18
Internet address

    Research areas

  • DevOps quality, Organizational and technical aspects, Predictive analytics

ID: 43788759