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Quantifying Flakiness and Minimizing Its Effects on Software Testing
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Quantifying Flakiness and Minimizing Its Effects on Software Testing. |
| 개인저자 | Gao, Zebao. |
| 단체저자명 | University of Maryland, College Park. Computer Science. |
| 발행사항 | [S.l.]: University of Maryland, College Park., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 122 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438136281 |
| 학위논문주기 | Thesis (Ph.D.)--University of Maryland, College Park, 2017. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Atif M. Memon. |
| 요약 | In software testing, test inputs are passed into a system under test (SUT) |
| 요약 | The test flakiness problem makes test results and testing techniques unreliable. Flaky tests may be mistakingly labeled as failed, and this will increase not only the number of reported bugs testers need to check, but also the chance to miss rea |
| 요약 | This research develops a systematic approach to quantitively analyze and minimize the effects of flakiness. This research makes three major contributions. First, a novel entropy-based metric is introduced to quantify the flakiness of different l |
| 요약 | Two empirical studies on five open source applications evaluate the new entropy measure, study the causes of flakiness, and evaluate the usefulness of the flake filter. In particular, the first study empirically analyzes the impact of factors in |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
