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Detection of unexpected situations by applying software reliability growth models to test phases.

, , , , , , and . ISSRE Workshops, page 2-5. IEEE Computer Society, (2015)

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Mobile Application Testing: A Tutorial., , , and . Computer, 47 (2): 46-55 (2014)Enhancing Symbolic Execution to Test the Compatibility of Re-engineered Industrial Software., , , , , and . APSEC, page 314-317. IEEE, (2012)A JavaScript Transpiler for Escaping from Complicated Usage of Cloud Services and APIs., , , and . APSEC, page 69-78. IEEE, (2018)Automated testing for Java programs using JPF-based test case generation., , , and . ACM SIGSOFT Softw. Eng. Notes, 39 (1): 1-5 (2014)FSX: a tool for fine-grained incremental unit test generation for C/C++ programs., , , , and . SIGSOFT FSE, page 1052-1056. ACM, (2016)Mobile Testing-as-a-Service (MTaaS) - Infrastructures, Issues, Solutions and Needs., , , , and . HASE, page 158-167. IEEE Computer Society, (2014)A Quality Model and Its Quantitative Evaluation Method for Web APIs., , , , , , , and . APSEC, page 598-607. IEEE, (2018)Model-based test case generation using symbolic execution., , and . JAMAICA@ISSTA, page 23-28. ACM, (2013)Semi-automatic Incompatibility Localization for Re-engineered Industrial Software., , , , and . ICST, page 91-94. IEEE Computer Society, (2014)Test Case Selection Based on Path Condtions of Symbolic Execution., , , and . APSEC, page 318-321. IEEE, (2012)