Continuous Optimization of Software

Project: Dissertation

Description

Modern service based software is developed in short cycles with continuous user feedback. My research interests are in building tools that support this process and empirical evaluations of their use. The tools use machine learning, combinatorial optimization, and domain specific languages to specify software configurations that should be optimized with user data. The tools must be evaluated in realistic environments involving real end user data at industry sites.
StatusActive
Effective start/end date2016/04/01 → …

Participants

Related projects

(Part of)

Per Runeson

2020/01/01 → …

Project: Research

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Related research output

Florian Auer, Rasmus Ros, Lukas Kaltenbrunner, Per Runeson & Michael Felderer, 2021, In: Information and Software Technology. 134, 106551.

Research output: Contribution to journalArticle

Rasmus Ros & Elizabeth Bjarnason, 2018 Oct 22, Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018. Bures, T. & Angelis, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 353-356 4 p. 8498231

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Rasmus Ros & Per Runeson, 2018, RCoSE'18 Proceedings of the 4th International Workshop on Rapid Continuous Software Engineering. Gothenburg, Sweden: Association for Computing Machinery (ACM), p. 35-41 7 p.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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