By Bernhard K. Aichernig, Elisabeth Jöbstl, Matthias Kegele (auth.), Margus Veanes, Luca Viganò (eds.)
This ebook constitutes the refereed complaints of the seventh foreign convention on try out and Proofs, faucet 2013, held in Budapest, Hungary, in June 2013, as a part of the STAF 2013 Federated meetings. The 12 revised complete papers awarded including one instructional have been conscientiously reviewed and chosen from 24 submissions. The papers are dedicated to the synergy of proofs and assessments, to the applying of thoughts from either side and their mix for the development of software program caliber. The papers are concerning the next subject matters: try new release; model-based trying out and mutants; declarative debugging; and gear testing.
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Additional resources for Tests and Proofs: 7th International Conference, TAP 2013, Budapest, Hungary, June 16-20, 2013. Proceedings
Example text
After filtering them out, the total of 38 unique faulty implementations were derived. Table 2 shows the total numbers of implementation mutants and equivalent ones. Both the correct and the 38 faulty CAS implementations were used to evaluate the effectiveness of the test cases we generated. We developed a test driver in order to execute generated tests on the CAS implementation. We integrated quiescence in the test driver, which is responsible to detect prolonged absence of outputs. We set the maximal timeout that the driver is allowed to wait for an output action to 400 time units.
E≤0 flashOn! e == 300 soundOff! soundOff! e≤0 c == 0 armedOff! e≤0 g≤0 d≤0 armedOff! open? e := 0 unlock? d := 0 close? c := 0 f ≤0 e ≤ 300 armedOn! c ≤ 20 c == 20 armedOn! lock? c := 0 open? close? f := 0 flashOff! unlock? unlock? open? lock? close? unlock? flashOff! start Fig. 6. Car alarm system: requirements and its TAIO model 7 Case Study and Experimental Results In this section we illustrate our TCG approach with the Car Alarm System (CAS) [2,29] and evaluate the framework. The car alarm system (CAS) is a model inspired by the Ford’s demonstrator developed in the EU FP7 project MOGENTES4 .
Advances in Computers 58, 117–148 (2003) 8. : Can a model checker generate tests for nondeterministic systems? ENTCS 190(2), 3–19 (2007); MBT 2007 9. : Mutation-based test case generation for simulink models. , Leuschel, M. ) FMCO 2009. LNCS, vol. 6286, pp. 208–227. Springer, Heidelberg (2010) 10. : A test generation framework for quiescent real-time systems. , Nielsen, B. ) FATES 2004. LNCS, vol. 3395, pp. 64–78. Springer, Heidelberg (2005) 11. : Symbolic model checking: 1020 states and beyond.