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The Use of Automatic Test Data Generation for Genetic Improvement in a Live System.

, , and . SBST@ICSE, page 28-31. IEEE, (2017)

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The Use of Automatic Test Data Generation for Genetic Improvement in a Live System., , and . SBST@ICSE, page 28-31. IEEE, (2017)Genetic improvement of software: from program landscapes to the automatic improvement of a live system.. University of Stirling, UK, (2017)British Library, EThOS.Automated design of algorithms and genetic improvement: contrast and commonalities., and . GECCO (Companion), page 1373-1380. ACM, (2014)Repairing and Optimizing Hadoop hashCode Implementations., , , , , , and . SSBSE, volume 8636 of Lecture Notes in Computer Science, page 259-264. Springer, (2014)Fixing bugs in your sleep: how genetic improvement became an overnight success., , , and . GECCO (Companion), page 1513-1520. ACM, (2017)Exploring the Accuracy - Energy Trade-off in Machine Learning., , , and . GI@ICSE, page 11-18. IEEE, (2021)Genetic improvement of runtime and its fitness landscape in a bioinformatics application., , , , and . GECCO (Companion), page 1521-1528. ACM, (2017)Tutorials at PPSN 2018., , , , , , , , , and 27 other author(s). PPSN (2), volume 11102 of Lecture Notes in Computer Science, page 477-489. Springer, (2018)Exploring Fitness and Edit Distance of Mutated Python Programs., , , and . EuroGP, volume 10196 of Lecture Notes in Computer Science, page 19-34. (2017)The use of predictive models in dynamic treatment planning., , , , and . ISCC, page 242-247. IEEE Computer Society, (2017)