Volume 12 Number 8 (Aug. 2017)
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JSW 2017 Vol.12(8): 671-681 ISSN: 1796-217X
doi: 10.17706/jsw.12.8.671-681

An Empirical Analysis of the Relationship between Cohesion and Testing Effort

Waleed Albattah1* and Austin Melton2
1Department of Information Technology, Qassim University, Saudi Arabia.
2Department of Computer Science, Kent State University, Kent Ohio 44242.

Abstract—Predicting software testability can reduce costs and efforts. Cohesion, as one of software quality metrics, found to be good indicator for software testability. Although there is a good interest in software testability on the class level in the literature, software testability on the package level has not received the same interest. The paper investigates the relationship between a newly proposed package cohesion metric and software testing effort. The empirical analysis used data collected from five Java open source software systems for which JUnit test classes are available. The results show that as good the package cohesion is, as the less testing effort is needed. The stability of the correlations allows us to draw optimistic conclusions about its use as an indicator.

Index Terms—Correlation, cohesion, package, software engineering, software measurements, software metrics, software testing, testability, testing effort.


Cite: Waleed Albattah and Austin Melton, "An Empirical Analysis of the Relationship between Cohesion and Testing Effort," Journal of Software vol. 12, no. 8, pp. 671-681, 2017.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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