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The Use of Executable FIT Tables to support Maintenance and Evolution Tasks.

, , , , and . Electron. Commun. Eur. Assoc. Softw. Sci. Technol., (2007)

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Automated inference of classifications and dependencies for combinatorial testing., and . ASE, page 622-627. IEEE, (2013)Using a Concept Lattice of Decomposition Slices for Program Understanding and Impact Analysis.. IEEE Trans. Software Eng., 29 (6): 495-509 (2003)Supporting Ontology-Based Semantic Annotation of Business Processes with Automated Suggestions., and . Int. J. Inf. Syst. Model. Des., 1 (2): 59-84 (2010)eCAT: a tool for automating test cases generation and execution in testing multi-agent systems., , and . AAMAS (Demos), page 1669-1670. IFAAMAS, (2008)Interpolated n-grams for model based testing., , and . ICSE, page 562-572. ACM, (2014)Dynamic model extraction and statistical analysis of Web applications: Follow-up after 6 years., and . WSE, page 3-10. IEEE Computer Society, (2008)Minimizing the stakeholder dissatisfaction risk in requirement selection for next release planning., , , , and . Inf. Softw. Technol., (2017)Toward In-Vivo Testing of Mobile Applications., , , , , and . ISSRE Workshops, page 137-143. IEEE, (2019)Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study., , , , , and . ESEC/SIGSOFT FSE, page 1264-1274. ACM, (2021)DeepAtash: Focused Test Generation for Deep Learning Systems., , and . ISSTA, page 954-966. ACM, (2023)