WFRF:(Staron Miroslaw)
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- Al Sabbagh, Khaled,1987Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU) (author)
A classification of code changes and test types dependencies for improving machine learning based test selection
- Article/chapterEnglish2021
Publisher, publication year, extent ...
- 2021-08-19
- New York, NY, USA :ACM,2021
- electronicrdacarrier
Numbers
- LIBRIS-ID:oai:research.chalmers.se:ba48252c-67db-4e01-99ff-b6646f0e7dc6
- https://research.chalmers.se/publication/525573URI
- https://doi.org/10.1145/3475960.3475987DOI
- https://gup.ub.gu.se/publication/311133URI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
Classification
Notes
- Machine learning has been increasingly used to solve various software engineering tasks. One example of their usage is in regression testing, where a classifier is built using historical code commits to predict which test cases require execution. In this paper, we address the problem of how to link specific code commits to test types to improve the predictive performance of learning models in improving regression testing. We design a dependency taxonomy of the content of committed code and the type of a test case. The taxonomy focuses on two types of code commits: changing memory management and algorithm complexity. We reviewed the literature, surveyed experienced testers from three Swedish-based software companies, and conducted a workshop to develop the taxonomy. The derived taxonomy shows that memory management code should be tested with tests related to performance, load, soak, stress, volume, and capacity; the complexity changes should be tested with the same dedicated tests and maintainability tests. We conclude that this taxonomy can improve the effectiveness of building learning models for regression testing.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Systemvetenskap, informationssystem och informatik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Information Systems hsv//eng
- NATURVETENSKAP Data- och informationsvetenskap Datavetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Sciences hsv//eng
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Datorsystem hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Computer Systems hsv//eng
- NATURVETENSKAP Data- och informationsvetenskap Programvaruteknik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Software Engineering hsv//eng
- taxonomy
- testing
- continuous integration
- continuous integration
- taxonomy
- testing
Added entries (persons, corporate bodies, meetings, titles ...)
- Staron, Miroslaw,1977Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU)(Swepub:gu)xstmir (author)
- Hebig, Regina,1984Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, Software Engineering (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)(Swepub:gu)xhebir (author)
- Gomes, Francisco,1987Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, Software Engineering (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)(Swepub:gu)xdeofr (author)
- Göteborgs universitetInstitutionen för data- och informationsteknik (GU) (creator_code:org_t)
Related titles
- In:SIGPLAN Notices (ACM Special Interest Group on Programming Languages)New York, NY, USA : ACM, s. 40-490730-8566
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