Rasmus Ros

Doctoral Student

Research

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.

Recent research outputs

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: ACM, p. 35-41 7 p.

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

Rasmus Ros, Elizabeth Bjarnason & Per Runeson, 2017 Aug 17, Symposium on Search-Based Software Engineering. Springer, p. 190-196 ( Lecture Notes in Computer Science; vol. 10452).

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

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