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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | A New Dimension of Test Quality: Assessing and Generating Higher Quality Unit Test Cases |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Page Range | 419 - 423 |
| Event Title | Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis |
| Event Type | conference |
| Event Location | Beijing |
| Event Start Date | July 17 - 2019 |
| Event End Date | July 20 - 2019 |
| Series Name | ISSTA 2019 |
| Place of Publication | New York, NY, USA |
| Publisher | ACM |
| Abstract Text | Unit tests form the first defensive line against the introduction of bugs in software systems. Therefore, their quality is of a paramount importance to produce robust and reliable software. To assess test quality, many organizations relies on metrics like code and mutation coverage. However, they are not always optimal to fulfill such a purpose. In my research, I want to make mutation testing scalable by devising a lightweight approach to estimate test effectiveness. Moreover, I plan to introduce a new metric measuring test focus—as a proxy for the effort needed by developers to understand and maintain a test— that both complements code coverage to assess test quality and can be used to drive automated test case generation of higher quality tests. |
| Digital Object Identifier | 10.1145/3293882.3338984 |
| Other Identification Number | merlin-id:17926 |
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