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

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.

Application of Software Data Analysis Model Based on K-Means Clustering Algorithm

“…. , r n 􏼈 􏼉, (C, H) is the correlation constraint function of portable multidimensional control software test [12], and the information correlation degree of portable multidimensional control software test is obtained as follows:…”