{"title":"A Combinatorial Test Suite Generator for Gray-Box Testing","authors":"A. Barrett, D. Dvorak","doi":"10.1109/SMC-IT.2009.53","DOIUrl":null,"url":null,"abstract":"In black-box testing, the system being tested is typically characterized as a number of inputs, where each input can take one of a number of values. Thus each test is a vector of input settings, and the set of possible tests is an N dimensional space, where N is the number of inputs. For example, an instance of a simulation of a crew exploration vehicle's (CEV) launch pad abort scenario can have 76 floating-point inputs. Unfortunately, for such a large number of inputs only a small percentage of the test space can be actually tested. This paper characterizes levels of partial test space coverage and presents Testgen, a tool for generating a suite of tests that guarantees a level of test space coverage, which a user can adapt to take advantage of knowledge of system internals. This ability to adapt coverage makes Testgen a gray-box testing tool.","PeriodicalId":422009,"journal":{"name":"2009 Third IEEE International Conference on Space Mission Challenges for Information Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third IEEE International Conference on Space Mission Challenges for Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMC-IT.2009.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
In black-box testing, the system being tested is typically characterized as a number of inputs, where each input can take one of a number of values. Thus each test is a vector of input settings, and the set of possible tests is an N dimensional space, where N is the number of inputs. For example, an instance of a simulation of a crew exploration vehicle's (CEV) launch pad abort scenario can have 76 floating-point inputs. Unfortunately, for such a large number of inputs only a small percentage of the test space can be actually tested. This paper characterizes levels of partial test space coverage and presents Testgen, a tool for generating a suite of tests that guarantees a level of test space coverage, which a user can adapt to take advantage of knowledge of system internals. This ability to adapt coverage makes Testgen a gray-box testing tool.