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Software Engineering, IEEE Transactions on, Vol. 38, No. 2. (March 2012), pp. 243-257, doi:10.1109/tse.2011.105 Key: citeulike:11919242
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Dynamic specification mining observes program executions to infer models of normal program behavior. What makes us believe that we have seen sufficiently many executions? The TAUTOKO (“Tautoko” is the Mãori word for “enhance, enrich.”) typestate miner generates test cases that cover previously unobserved behavior, systematically extending the execution space, and enriching the specification. To our knowledge, this is the first combination of systematic test case generation and typestate mining-a combination with clear benefits: On a sample of 800 defects seeded into six Java subjects, a static typestate verifier fed with enriched models would report significantly more true positives and significantly fewer false positives than the initial models.
Java test case generation by dynamic code execution + typestate spec (from which it uses the available methods to generate the new test cases which provide the full program flow). Brings test case generation in with program spec (common behaviour is good) mining and typestates so useful paper for looking into these areas even if OO language doesn't provide direct applicability to our research.
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