Automatically finding performance problems with feedback-directed learning software testing

  title={Automatically finding performance problems with feedback-directed learning software testing},
  author={Mark Grechanik and Chen Fu and Qing Xie},
  journal={2012 34th International Conference on Software Engineering (ICSE)},
A goal of performance testing is to find situations when applications unexpectedly exhibit worsened characteristics for certain combinations of input values. A fundamental question of performance testing is how to select a manageable subset of the input data faster to find performance problems in applications automatically. We offer a novel solution for finding performance problems in applications automatically using black-box software testing. Our solution is an adaptive, feedback-directed… CONTINUE READING
Highly Cited
This paper has 78 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.

79 Citations

Citations per Year
Semantic Scholar estimates that this publication has 79 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-2 of 2 references

Similar Papers

Loading similar papers…