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Quantifying Performance Changes with Effect Size Confidence Intervals

, and . Technical Report, 4--12. University of Kent, (June 2012)

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A family of real-time Java benchmarks, , , , , and . Concurrency and Computation: Practice and Experience, 23 (14): 1679--1700 (2011)Handles revisited: optimising performance and memory costs in a real-time collector., and . ISMM, page 89-98. ACM, (2011)Automated Detection of Performance Regressions: The Mono Experience., , and . MASCOTS, page 183-190. IEEE Computer Society, (2005)Efficient Detection of Errors in Java Components Using Random Environment and Restarts., and . TACAS, volume 6015 of Lecture Notes in Computer Science, page 451-465. Springer, (2010)Automated benchmarking and analysis tool., , , , , , , and . VALUETOOLS, volume 180 of ACM International Conference Proceeding Series, page 5. ACM, (2006)Quantifying Performance Changes with Effect Size Confidence Intervals, and . Technical Report, 4--12. University of Kent, (June 2012)CDx: a family of real-time Java benchmarks., , , , , and . JTRES, page 41-50. ACM, (2009)Platform-Specific Restrictions on Concurrency in Model Checking of Java Programs., and . FMICS, volume 5825 of Lecture Notes in Computer Science, page 117-132. Springer, (2009)Regression benchmarking with simple middleware benchmarks., , and . IPCCC, page 771-776. IEEE, (2004)Replicating real-time garbage collector for Java.. JTRES, page 100-109. ACM, (2009)