The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Use of Qualitative Research to Generate a Function for Finding the Unit Cost of Software Test Cases
|
Author(s): Mark L. Gillenson (University of Memphis, Memphis, USA), Thomas F. Stafford (Louisiana Tech University, Ruston, USA), Xihui “Paul” Zhang (University of North Alabama, Florence, USA)and Yao Shi (University of Memphis, Memphis, USA)
Copyright: 2020
Volume: 31
Issue: 2
Pages: 22
Source title:
Journal of Database Management (JDM)
Editor(s)-in-Chief: Keng Siau (City University of Hong Kong, Hong Kong SAR)
DOI: 10.4018/JDM.2020040103
Purchase
|
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.
Related Content
Pasi Raatikainen, Samuli Pekkola, Maria Mäkelä.
© 2024.
30 pages.
|
Zhongliang Li, Yaofeng Tu, Zongmin Ma.
© 2024.
25 pages.
|
Zongmin Ma, Daiyi Li, Jiawen Lu, Ruizhe Ma, Li Yan.
© 2024.
32 pages.
|
Lavlin Agrawal, Pavankumar Mulgund, Raj Sharman.
© 2024.
37 pages.
|
Jizi Li, Xiaodie Wang, Justin Z. Zhang, Longyu Li.
© 2024.
34 pages.
|
Amit Singh, Jay Prakash, Gaurav Kumar, Praphula Kumar Jain, Loknath Sai Ambati.
© 2024.
25 pages.
|
Ruizhe Ma, Weiwei Zhou, Zongmin Ma.
© 2024.
21 pages.
|
|
|