Volume 13 Number 10 (Oct. 2018)
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JSW 2018 Vol.13(10): 547-558 ISSN: 1796-217X
doi: 10.17706/jsw.13.10.547-558

Predicting Costly Maintenance Packages Using Package Cohesion

Waleed Albattah*
Information Technology Department, Qassim University, Qassim, KSA

Abstract—Poorly designed software systems leads to difficult and costly maintenance activities. Object-orientedsoftware metrics try to reflect the quality of the systemdesign. Package cohesion metrics are found to berelated to software maintainability. In our previous work, we developed a new package cohesion metric based on Martin’s well-known and well-accepted package design principles. This metric was found to have a correlation with software maintainability and software testability. In this paper, we continue this empirical investigation by predicting costly maintenance packages using package cohesion. The prediction models created by logistic regression analysis show that costly packages can be predicted using package cohesion as early as the designphase of the softwaredevelopment lifecycle. This early prediction helps software engineers to discover any weak designs of the system and then these packages can be re-designed or at least carefully tested and documented, which contribute to considerable reductions in maintenance costs. The results demonstrate that the new package cohesion metric is promising and can help in locatinglow maintainable software packages.

Index Terms— Cohesion, maintainability, maintenance, measurement, metric, package, software.


Cite: Waleed Albattah, "Predicting Costly Maintenance Packages Using Package Cohesion Waleed," Journal of Software vol. 13, no. 10, pp. 547-558, 2018.

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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