|Title||Perphecy: Performance Regression Test Selection Made Simple but Effective|
|Publication Type||Conference Paper|
|Year of Publication||2017|
|Authors||Oliveira, A., S. Fischmeister, A. Diwan, M. Hauswirth, and P. Sweeney|
|Conference Name||Proc. of the 10th IEEE International Conference on Software Testing, Verification and Validation (ICST)|
|Conference Location||Tokyo, Japan|
Developers of performance sensitive production software are in a dilemma: performance regression tests are too costly to run at each commit, but skipping the tests delays and complicates performance regression detection. Ideally, developers would have a system that predicts whether a given commit is likely to impact performance and suggests which tests to run to detect a potential performance regression. Prior approaches towards this problem require static or dynamic analyses that limit their generality and applicability. This paper presents an approach that is simple and general, and that works surprisingly well for real applications.
Perphecy: Performance Regression Test Selection Made Simple but Effective