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Human Competitiveness of Genetic Programming in Spectrum-Based Fault Localisation: Theoretical and Empirical Analysis.

, , , , and . ACM Trans. Softw. Eng. Methodol., 26 (1): 4:1-4:30 (2017)

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Information Transformation: An Underpinning Theory for Software Engineering., , , and . ICSE (2), page 599-602. IEEE Computer Society, (2015)ISBN 978-1-4799-1934-5 (Vol. I + II ???).Guiding Deep Learning System Testing using Surprise Adequacy., , and . CoRR, (2018)Regression testing minimization, selection and prioritization: a survey., and . Softw. Test., Verif. Reliab., 22 (2): 67-120 (2012)Embedding genetic improvement into programming languages.. GECCO (Companion), page 1551-1552. ACM, (2017)FLUCCS: using code and change metrics to improve fault localization., and . ISSTA, page 273-283. ACM, (2017)Evaluating CAVM: A New Search-Based Test Data Generation Tool for C., , , , and . SSBSE, volume 10452 of Lecture Notes in Computer Science, page 143-149. Springer, (2017)Generating test input with deep reinforcement learning., , and . SBST@ICSE, page 51-58. ACM, (2018)The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression., , and . GECCO (Companion), page 1521-1522. ACM, (2015)Diversity-Aware Mutation Adequacy Criterion for Improving Fault Detection Capability., , and . ICST Workshops, page 122-131. IEEE Computer Society, (2016)Search based data sensitivity analysis applied to requirement engineering., , , and . GECCO, page 1681-1688. ACM, (2009)