Abstract | ||
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Test automation is becoming critical in software development process. Though it has been widely applied, many are not surprised to find there is the long journey to a mature test automation process. To get continues improvement and achieve or sustain test automation benefits, organizations need to know what factors can lead to mature test automation and how to assess the current maturity level of test automation in order to identify improvement steps. However, the contemporary test maturity models are likely to emphasize more on general testing but fewer details for test automation, and also lack empirical evidence from the industry to validate the statements that indicate maturity levels. To address the above issues, this study aims to examine what factors lead to a mature test automation process and how to assess the maturity level against them. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/ICST.2018.00052 | 2018 IEEE 11th International Conference on Software Testing, Verification and Validation (ICST) |
Keywords | Field | DocType |
test automation,test maturity,measurement,assessment | Empirical evidence,Computer science,Engineering management,Automation,Software,Need to know,Software development process,Reliability engineering | Conference |
ISSN | ISBN | Citations |
2381-2834 | 978-1-5386-5013-4 | 1 |
PageRank | References | Authors |
0.37 | 2 | 1 |
Name | Order | Citations | PageRank |
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Yuqing Wang | 1 | 6 | 3.34 |