{"year":"2016","intvolume":" 9583","publist_id":"6104","volume":9583,"project":[{"_id":"25EE3708-B435-11E9-9278-68D0E5697425","name":"Quantitative Reactive Modeling","grant_number":"267989","call_identifier":"FP7"},{"call_identifier":"FWF","grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425","name":"The Wittgenstein Prize"},{"call_identifier":"FWF","grant_number":"S 11407_N23","_id":"25832EC2-B435-11E9-9278-68D0E5697425","name":"Rigorous Systems Engineering"}],"acknowledgement":"We thank Andrey Kupriyanov for feedback on the manuscript,\r\nand Michael Tautschnig for help with preparing the experiments. This research was supported in part by the European Research Council (ERC) under grant 267989 (QUAREM) and by the Austrian Science Fund (FWF) under grants S11402-N23 (RiSE) and Z211-N23 (Wittgenstein Award).","doi":"10.1007/978-3-662-49122-5_16","page":"328 - 347","author":[{"first_name":"Przemyslaw","last_name":"Daca","id":"49351290-F248-11E8-B48F-1D18A9856A87","full_name":"Daca, Przemyslaw"},{"first_name":"Ashutosh","last_name":"Gupta","full_name":"Gupta, Ashutosh","id":"335E5684-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000−0002−2985−7724","last_name":"Henzinger","first_name":"Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","full_name":"Henzinger, Thomas A"}],"language":[{"iso":"eng"}],"_id":"1230","ec_funded":1,"citation":{"ieee":"P. Daca, A. Gupta, and T. A. Henzinger, “Abstraction-driven concolic testing,” presented at the VMCAI: Verification, Model Checking and Abstract Interpretation, St. Petersburg, FL, USA, 2016, vol. 9583, pp. 328–347.","mla":"Daca, Przemyslaw, et al. Abstraction-Driven Concolic Testing. Vol. 9583, Springer, 2016, pp. 328–47, doi:10.1007/978-3-662-49122-5_16.","short":"P. Daca, A. Gupta, T.A. Henzinger, in:, Springer, 2016, pp. 328–347.","ista":"Daca P, Gupta A, Henzinger TA. 2016. Abstraction-driven concolic testing. VMCAI: Verification, Model Checking and Abstract Interpretation, LNCS, vol. 9583, 328–347.","apa":"Daca, P., Gupta, A., & Henzinger, T. A. (2016). Abstraction-driven concolic testing (Vol. 9583, pp. 328–347). Presented at the VMCAI: Verification, Model Checking and Abstract Interpretation, St. Petersburg, FL, USA: Springer. https://doi.org/10.1007/978-3-662-49122-5_16","chicago":"Daca, Przemyslaw, Ashutosh Gupta, and Thomas A Henzinger. “Abstraction-Driven Concolic Testing,” 9583:328–47. Springer, 2016. https://doi.org/10.1007/978-3-662-49122-5_16.","ama":"Daca P, Gupta A, Henzinger TA. Abstraction-driven concolic testing. In: Vol 9583. Springer; 2016:328-347. doi:10.1007/978-3-662-49122-5_16"},"conference":{"name":"VMCAI: Verification, Model Checking and Abstract Interpretation","start_date":"2016-01-17","location":"St. Petersburg, FL, USA","end_date":"2016-01-19"},"publisher":"Springer","scopus_import":1,"oa":1,"oa_version":"Preprint","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2018-12-11T11:50:50Z","alternative_title":["LNCS"],"quality_controlled":"1","title":"Abstraction-driven concolic testing","related_material":{"record":[{"id":"1155","relation":"dissertation_contains","status":"public"}]},"status":"public","month":"01","date_updated":"2023-09-07T11:58:33Z","type":"conference","day":"01","department":[{"_id":"ToHe"}],"abstract":[{"text":"Concolic testing is a promising method for generating test suites for large programs. However, it suffers from the path-explosion problem and often fails to find tests that cover difficult-to-reach parts of programs. In contrast, model checkers based on counterexample-guided abstraction refinement explore programs exhaustively, while failing to scale on large programs with precision. In this paper, we present a novel method that iteratively combines concolic testing and model checking to find a test suite for a given coverage criterion. If concolic testing fails to cover some test goals, then the model checker refines its program abstraction to prove more paths infeasible, which reduces the search space for concolic testing. We have implemented our method on top of the concolictesting tool Crest and the model checker CpaChecker. We evaluated our tool on a collection of programs and a category of SvComp benchmarks. In our experiments, we observed an improvement in branch coverage compared to Crest from 48% to 63% in the best case, and from 66% to 71% on average.","lang":"eng"}],"main_file_link":[{"url":"https://arxiv.org/abs/1511.02615","open_access":"1"}],"publication_status":"published","date_published":"2016-01-01T00:00:00Z"}