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A spoonful of DevOps helps the GI go down
KTH, School of Electrical Engineering and Computer Science (EECS), Software and Computer systems, SCS.
KTH, School of Electrical Engineering and Computer Science (EECS), Software and Computer systems, SCS.
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2018 (English)In: Proceedings - International Conference on Software Engineering, IEEE Computer Society , 2018, p. 35-36Conference paper, Published paper (Refereed)
Abstract [en]

DevOps emphasizes a high degree of automation at all phases of the software development lifecyle. Meanwhile, Genetic Improvement (GI) focuses on the automatic improvement of software artifacts. In this paper, we discuss why we believe that DevOps offers an excellent technical context for easing the adoption of GI techniques by software developers. We also discuss A/B testing as a prominent and clear example of GI taking place in the wild today, albeit one with human-supervised fitness and mutation operators.

Place, publisher, year, edition, pages
IEEE Computer Society , 2018. p. 35-36
Keywords [en]
continuous integration, DevOps, genetic improvement, Computer software, A/b testing, Continuous integrations, Degree of automation, Genetic improvements, Mutation operators, Software artifacts, Software developer, Software design
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-247217DOI: 10.1145/3194810.3194818Scopus ID: 2-s2.0-85054623465ISBN: 9781450357531 (print)OAI: oai:DiVA.org:kth-247217DiVA, id: diva2:1301947
Conference
2018 ACM/IEEE 4th International Genetic Improvement Workshop, GI 2018, Held at 40th International Conference on Software Engineering, ICSE 2018, 2 June 2018
Note

QC 20190403

Available from: 2019-04-03 Created: 2019-04-03 Last updated: 2019-04-03Bibliographically approved

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Baudry, Benoit

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Citation style
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  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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