WFRF:(Leifler Ola)
Sökning: WFRF:(Leifler Ola) > A Multi-factor Appr...
LIBRIS Formathandbok (Information om MARC21)
| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04271naa a2200457 4500 | |
| 001 | oai:gup.ub.gu.se/316073 | |
| 003 | SwePub | |
| 008 | 240528s2021 | |||||||||||000 ||eng| | |
| 009 | oai:DiVA.org:liu-186181 | |
| 024 | 7 | a https://gup.ub.gu.se/publication/3160732 URI |
| 024 | 7 | a https://doi.org/10.1109/APSEC53868.2021.000412 DOI |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1861812 URI |
| 040 | a (SwePub)gud (SwePub)liu | |
| 041 | a eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a kon2 swepub-publicationtype |
| 100 | 1 | a Ahmad, Azeemu Linköpings universitet,Programvara och system,Tekniska fakulteten4 aut0 (Swepub:liu)azeah70 |
| 245 | 1 0 | a A Multi-factor Approach for Flaky Test Detection and Automated Root Cause Analysis |
| 264 | 1 | b IEEE COMPUTER SOC,c 2021 |
| 520 | a Developers often spend time to determine whether test case failures are real failures or flaky. The flaky tests, also known as non-deterministic tests, switch their outcomes without any modification in the codebase, hence reducing the confidence of developers during maintenance as well as in the quality of a product. Re-running test cases to reveal flakiness is resource-consuming, unreliable and does not reveal the root causes of test flakiness. Our paper evaluates a multi-factor approach to identify flaky test executions implemented in a tool named MDF laker. The four factors are: trace-back coverage, flaky frequency, number of test smells, and test size. Based on the extracted factors, MDFlaker uses k-Nearest Neighbor (KNN) to determine whether failed test executions are flaky. We investigate MDFlaker in a case study with 2166 test executions from different open-source repositories. We evaluate the effectiveness of our flaky detection tool. We illustrate how the multi-factor approach can be used to reveal root causes for flakiness, and we conduct a qualitative comparison between MDF laker and other tools proposed in literature. Our results show that the combination of different factors can be used to identify flaky tests. Each factor has its own trade-off, e.g., trace-back leads to many true positives, while flaky frequency yields more true negatives. Therefore, specific combinations of factors enable classification for testers with limited information (e.g., not enough test history information). | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Programvaruteknik0 (SwePub)102052 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Software Engineering0 (SwePub)102052 hsv//eng |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng |
| 653 | a automated root-cause analysis | |
| 653 | a flaky test detection | |
| 653 | a flaky tests | |
| 653 | a non-deterministic tests | |
| 653 | a trace-back | |
| 653 | a flaky tests; non-deterministic tests; flaky test detection; automated root-cause analysis; trace-back | |
| 700 | 1 | a de Oliveira Neto, Francisco Gomesu Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),Chalmers & Univ Gothenburg, Sweden4 aut0 (Swepub:gu)xdeofr |
| 700 | 1 | a Shi, Zhixiangu Linköpings universitet,Institutionen för datavetenskap,Tekniska fakulteten4 aut0 (Swepub:liu)n/a |
| 700 | 1 | a Sandahl, Kristianu Linköpings universitet,Programvara och system,Tekniska fakulteten4 aut0 (Swepub:liu)krisa34 |
| 700 | 1 | a Leifler, Olau Linköpings universitet,Programvara och system,Tekniska fakulteten4 aut0 (Swepub:liu)olale55 |
| 710 | 2 | a Linköpings universitetb Programvara och system4 org |
| 773 | 0 | t Proceedings - Asia-Pacific Software Engineering Conference, APSECd : IEEE COMPUTER SOCg , s. 338-348x 1530-1362 |
| 773 | 0 | t 2021 28TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2021)d : IEEE COMPUTER SOCg , s. 338-348q <338-348z 9781665437844z 9781665437851 |
| 856 | 4 8 | u https://gup.ub.gu.se/publication/316073 |
| 856 | 4 8 | u https://doi.org/10.1109/APSEC53868.2021.00041 |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-186181 |
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