Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2019
Abstract
Software testing is an integral part of software development process. Unfortunately, for many projects, bugs are prevalent despite testing effort, and testing continues to cost significant amount of time and resources. This brings forward the issue of test case quality and prompts us to investigate what make good test cases. To answer this important question, we interview 21 and survey 261 practitioners, who come from many small to large companies and open source projects distributed in 27 countries, to create and validate 29 hypotheses that describe characteristics of good test cases and testing practices. These characteristics span multiple dimensions including test case contents, size and complexity, coverage, maintainability, and bug detection. We present highly rated characteristics and rationales why practitioners agree or disagree with them, which in turn highlight best practices and trade-offs that need to be considered in the creation of test cases. Our findings also highlight open problems and opportunities for software engineering researchers to improve practitioner activities and address their pain points.
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Proceedings of the 41st ACM/IEEE International Conference on Software Engineering (ICSE 2019), Montreal, Canada, 2019 May 25-31
First Page
61
Last Page
70
Identifier
10.1109/ICSE-SEIP.2019.00015
City or Country
Montreal, Canada
Citation
KOCHHAR, Pavneet S.; XIA, Xin; and LO, David.
Practitioners' views on good software testing practices. (2019). Proceedings of the 41st ACM/IEEE International Conference on Software Engineering (ICSE 2019), Montreal, Canada, 2019 May 25-31. 61-70.
Available at: https://ink.library.smu.edu.sg/sis_research/4479
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ICSE-SEIP.2019.00015