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TesMa and CATG: Automated Test Generation Tools for Models of Enterprise Applications.

, , , and . ICSE (2), page 717-720. IEEE Computer Society, (2015)ISBN 978-1-4799-1934-5 (Vol. I + II ???).

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Helping testers by fault-prone functionality prediction., , and . APSITT, page 1-3. IEEE, (2015)TesMa and CATG: Automated Test Generation Tools for Models of Enterprise Applications., , , and . ICSE (2), page 717-720. IEEE Computer Society, (2015)ISBN 978-1-4799-1934-5 (Vol. I + II ???).Support for Finding Presentation Failures by Using Computer Vision Techniques., and . ICST Workshops, page 356-363. IEEE Computer Society, (2018)Reducing the Number of Initial Database States for Integration Testing., and . COMPSAC Workshops, page 59-64. IEEE Computer Society, (2013)GuideSE: Annotations for Guiding Concolic Testing., , , and . AST@ICSE, page 23-27. IEEE Computer Society, (2015)Automatically Generating Test Scripts for GUI Testing., , , and . ICST Workshops, page 146-150. IEEE Computer Society, (2018)Applying Multi-Objective Genetic Algorithm for Efficient Selection on Program Generation., , , , , , and . APSEC, page 515-519. IEEE, (2021)Test Scenario Generation for Web Application Based on Past Test Artifacts., , , and . IEICE Transactions, 97-D (5): 1109-1118 (2014)Test Data Generation for Web Applications: A Constraint and Knowledge-based Approach., , , and . SEKE, page 110-114. Knowledge Systems Institute Graduate School, (2014)An Oracle based on Image Comparison for Regression Testing of Web Applications., , , and . SEKE, page 639-645. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2015)