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Use of Qualitative Research to Generate a Function for Finding the Unit Cost of Software Test Cases

Use of Qualitative Research to Generate a Function for Finding the Unit Cost of Software Test Cases

Mark L. Gillenson, Thomas F. Stafford, Xihui “Paul” Zhang, Yao Shi
Copyright: © 2020 |Volume: 31 |Issue: 2 |Pages: 22
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781799804703|DOI: 10.4018/JDM.2020040103
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MLA

Gillenson, Mark L., et al. "Use of Qualitative Research to Generate a Function for Finding the Unit Cost of Software Test Cases." JDM vol.31, no.2 2020: pp.42-63. http://doi.org/10.4018/JDM.2020040103

APA

Gillenson, M. L., Stafford, T. F., Zhang, X. “., & Shi, Y. (2020). Use of Qualitative Research to Generate a Function for Finding the Unit Cost of Software Test Cases. Journal of Database Management (JDM), 31(2), 42-63. http://doi.org/10.4018/JDM.2020040103

Chicago

Gillenson, Mark L., et al. "Use of Qualitative Research to Generate a Function for Finding the Unit Cost of Software Test Cases," Journal of Database Management (JDM) 31, no.2: 42-63. http://doi.org/10.4018/JDM.2020040103

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Abstract

In this article, we demonstrate a novel use of case research to generate an empirical function through qualitative generalization. This innovative technique applies interpretive case analysis to the problem of defining and generalizing an empirical cost function for test cases through qualitative interaction with an industry cohort of subject matter experts involved in software testing at leading technology companies. While the technique is fully generalizable, this article demonstrates this technique with an example taken from the important field of software testing. The huge amount of software development conducted in today's world makes taking its cost into account imperative. While software testing is a critical aspect of the software development process, little attention has been paid to the cost of testing code, and specifically to the cost of test cases, in comparison to the cost of developing code. Our research fills the gap by providing a function for estimating the cost of test cases.

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