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A spoonful of DevOps helps the GI go down

Baudry, Benoit (author)
KTH,Programvaruteknik och datorsystem, SCS
Harrand, Nicolas (author)
KTH,Programvaruteknik och datorsystem, SCS
Schulte, E. (author)
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Timperley, C. (author)
Tan, S. H. (author)
Selakovic, M. (author)
Ugherughe, E. (author)
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 (creator_code:org_t)
2018-06-02
2018
English.
In: Proceedings - International Conference on Software Engineering. - New York, NY, USA : IEEE Computer Society. - 9781450357531 ; , s. 35-36
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

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

Publication and Content Type

ref (subject category)
kon (subject category)

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