DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Yoo, Shin | - |
dc.contributor.advisor | 유신 | - |
dc.contributor.author | You, Byeonghyeon | - |
dc.date.accessioned | 2019-09-04T02:47:10Z | - |
dc.date.available | 2019-09-04T02:47:10Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=734092&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/267067 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학부, 2018.2,[iv, 33 p. :] | - |
dc.description.abstract | Automated test data generation has been a major academic interest. We present Multi Directional Search (MDS), a new search-based test data generation algorithm. Unlike, Alternating Variable Method, the most commonly used search-based test data generation algorithm, traverses the variable in the function's input vector and change the value of the one variable at a time, MDS changes the value of multiple variables simultaneously. We implemented MDS on CAVM, a search-based test data generation tool for C which uses Extended AVM to handle dynamic data structure. MDS is developed to attached to and used prior to Extended AVM. We call MDS attached Extended AVM "Extended AVM+". We compare Extended AVM+ against Extended AVM using 15 functions and 55 test targets. As a result, Extended AVM+ was able to generate test data with less costs than Extended AVM. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Multi directional search▼aAutomated software test data generation▼aSearch-based software engineering▼aAlternating variable method | - |
dc.subject | 다방향 탐색▼a소프트웨어 테스트 데이터 자동 생성▼a검색기반 소프트웨어 공학▼a교대변수법 | - |
dc.title | Improving search based test data generation using multi directional search | - |
dc.title.alternative | 다방향 탐색을 통한 검색 기반 테스트 데이터 생성 개선 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전산학부, | - |
dc.contributor.alternativeauthor | 유병현 | - |
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