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A Family of Experiments to Assess the Effectiveness and Efficiency of Source Code Obfuscation Techniques

, , , , , and . Empirical Software Engineering, 19 (4): 1040--1074 (2014)

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Clustering-Aided Page Object Generation for Web Testing., , , and . ICWE, volume 9671 of Lecture Notes in Computer Science, page 132-151. Springer, (2016)Dynamic model extraction and statistical analysis of Web applications: Follow-up after 6 years., and . WSE, page 3-10. IEEE Computer Society, (2008)Supporting Ontology-Based Semantic Annotation of Business Processes with Automated Suggestions., and . Int. J. Inf. Syst. Model. Des., 1 (2): 59-84 (2010)Minimizing the stakeholder dissatisfaction risk in requirement selection for next release planning., , , , and . Inf. Softw. Technol., (2017)Repairing DNN Architecture: Are We There Yet?, , , , and . ICST, page 234-245. IEEE, (2023)Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights., , and . ICST, page 281-292. IEEE, (2023)Toward In-Vivo Testing of Mobile Applications., , , , , and . ISSRE Workshops, page 137-143. IEEE, (2019)DeepAtash: Focused Test Generation for Deep Learning Systems., , and . ISSTA, page 954-966. ACM, (2023)DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning., , and . ICSE Companion, page 68-72. IEEE, (2023)Why Creating Web Page Objects Manually If It Can Be Done Automatically?, , , and . AST@ICSE, page 70-74. IEEE Computer Society, (2015)