PerfRanker: prioritization of performance regression tests for collection-intensive software
Author:
Affiliation:
1. University of Texas at San Antonio, USA
2. University of Illinois at Urbana-Champaign, USA
Funder
NSF
DHS
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3092703.3092725
Reference67 articles.
1. Apache Commons Maths. http://commons.apache.org/proper/commons-math/ Apache Commons Maths. http://commons.apache.org/proper/commons-math/
2. Xalan for Java. https://xml.apache.org/xalan-j/ 2017. PerfRanker Project Web. (2017). Xalan for Java. https://xml.apache.org/xalan-j/ 2017. PerfRanker Project Web. (2017).
3. https://sites.google.com/site/ perfranker2017/ https://sites.google.com/site/ perfranker2017/
4. Performance debugging for distributed systems of black boxes
5. The relationship between IR effectiveness measures and user satisfaction
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