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Automated unit test generation for classes with environment dependencies.

, , and . ASE, page 79-90. ACM, (2014)

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An Empirical Evaluation of Evolutionary Algorithms for Test Suite Generation., , , , and . SSBSE, volume 10452 of Lecture Notes in Computer Science, page 33-48. Springer, (2017)Environment Modeling with UML/MARTE to Support Black-Box System Testing for Real-Time Embedded Systems: Methodology and Industrial Case Studies., , and . MoDELS (1), volume 6394 of Lecture Notes in Computer Science, page 286-300. Springer, (2010)An Industrial Evaluation of Unit Test Generation: Finding Real Faults in a Financial Application., , , , and . ICSE-SEIP, page 263-272. IEEE Computer Society, (2017)Estimation of distribution algorithms for testing object oriented software., , and . IEEE Congress on Evolutionary Computation, page 438-444. IEEE, (2007)Do Automatically Generated Unit Tests Find Real Faults? An Empirical Study of Effectiveness and Challenges (T)., , , , , and . ASE, page 201-211. IEEE Computer Society, (2015)Co-evolutionary automatic programming for software development., and . Inf. Sci., (2014)Many Independent Objective (MIO) Algorithm for Test Suite Generation.. CoRR, (2019)EvoSuite at the SBST 2015 Tool Competition., and . SBST@ICSE, page 25-27. IEEE Computer Society, (2015)Achieving scalable mutation-based generation of whole test suites., and . Empirical Software Engineering, 20 (3): 783-812 (2015)Whole Test Suite Generation., and . IEEE Trans. Software Eng., 39 (2): 276-291 (2013)