A self-assessment Instrument for assessing test automation maturity
Abstract
Test automation is important in software industry but self-assessment instruments for assessing its maturity are not sufficient. The two objectives of this study are to synthesize what an organization should focus to assess its test automation; develop a self-assessment instrument (a survey) for assessing test automation maturity and scientifically evaluate it. We carried out the study in four stages. First, a literature review of 25 sources was conducted. Second, the initial instrument was developed. Third, seven experts from five companies evaluated the initial instrument. Content Validity Index and Cognitive Interview methods were used. Fourth, we revised the developed instrument. Our contributions are as follows: (a) we collected practices mapped into 15 KAs that indicate where an organization should focus to assess its test automation; (b) we developed and evaluated a self-assessment instrument for assessing test automation maturity; (c) we discuss important topics such as response bias that threatens self-assessment instruments. Our results help companies and researchers to understand and improve test automation practices and processes.
Cite
@article{arxiv.1904.05816,
title = {A self-assessment Instrument for assessing test automation maturity},
author = {Yuqing Wang and Mika Mäntylä and Sigrid Eldh and Jouni Markkula and Kristian Wiklund and Tatu Kairi and Päivi Raulamo-Jurvanen and Antti Haukinen},
journal= {arXiv preprint arXiv:1904.05816},
year = {2019}
}
Comments
10 pages