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Learning from Vacuously Satisfiable Scenario-Based Specifications.

, , , and . FASE, volume 7212 of Lecture Notes in Computer Science, page 377-393. Springer, (2012)

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Learning from Vacuously Satisfiable Scenario-Based Specifications., , , and . FASE, volume 7212 of Lecture Notes in Computer Science, page 377-393. Springer, (2012)Interpolation-Based GR(1) Assumptions Refinement., and . TACAS (1), volume 10205 of Lecture Notes in Computer Science, page 281-297. (2017)Goal-conflict detection based on temporal satisfiability checking., , , , and . ASE, page 507-518. ACM, (2016)Automated goal operationalisation based on interpolation and SAT solving., , , and . ICSE, page 129-139. ACM, (2014)Generating obstacle conditions for requirements completeness., , , , and . ICSE, page 705-715. IEEE Computer Society, (2012)Learning operational requirements from goal models., , , and . ICSE, page 265-275. IEEE, (2009)A Weakness Measure for GR(1) Formulae., , and . FM, volume 10951 of Lecture Notes in Computer Science, page 110-128. Springer, (2018)Logic-Based Learning: Theory and Application., and . Machine Learning for Dynamic Software Analysis, volume 11026 of Lecture Notes in Computer Science, page 219-256. Springer, (2018)Integrating Model Checking and Inductive Logic Programming., , , and . ILP, volume 7207 of Lecture Notes in Computer Science, page 45-60. Springer, (2011)Extracting Requirements from Scenarios with ILP., , , and . ILP, volume 4455 of Lecture Notes in Computer Science, page 64-78. Springer, (2006)