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020 ▼a 9780438136281
035 ▼a (MiAaPQ)AAI10641629
035 ▼a (MiAaPQ)umd:18597
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 004
1001 ▼a Gao, Zebao.
24510 ▼a Quantifying Flakiness and Minimizing Its Effects on Software Testing.
260 ▼a [S.l.] : ▼b University of Maryland, College Park., ▼c 2017
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2017
300 ▼a 122 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Adviser: Atif M. Memon.
5021 ▼a Thesis (Ph.D.)--University of Maryland, College Park, 2017.
520 ▼a In software testing, test inputs are passed into a system under test (SUT)
520 ▼a 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
520 ▼a 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
520 ▼a 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
590 ▼a School code: 0117.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a University of Maryland, College Park. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0117
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996701 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자