{"title":"From test cases to FSMs: augmented test-driven development and property inference","authors":"T. Arts, S. Thompson","doi":"10.1145/1863509.1863511","DOIUrl":null,"url":null,"abstract":"This paper uses the inference of finite state machines from EUnit test suites for Erlang programs to make two contributions. First, we show that the inferred FSMs provide feedback on the adequacy of the test suite that is developed incrementally during the test-driven development of a system. This is novel because the feedback we give is independent of the implementation of the system.\n Secondly, we use FSM inference to develop QuickCheck properties for testing state-based systems. This has the effect of transforming a fixed set of tests into a property which can be tested using randomly generated data, substantially widening the coverage and scope of the tests.","PeriodicalId":140676,"journal":{"name":"Erlang Workshop","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Erlang Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1863509.1863511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper uses the inference of finite state machines from EUnit test suites for Erlang programs to make two contributions. First, we show that the inferred FSMs provide feedback on the adequacy of the test suite that is developed incrementally during the test-driven development of a system. This is novel because the feedback we give is independent of the implementation of the system.
Secondly, we use FSM inference to develop QuickCheck properties for testing state-based systems. This has the effect of transforming a fixed set of tests into a property which can be tested using randomly generated data, substantially widening the coverage and scope of the tests.