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Predicting maintainability of object-oriented software using metric threshold


Citation

Bakar, Abubakar Diwani and Md Sultan, Abu Bakar and Zulzalil, Hazura and Din, Jamilah (2014) Predicting maintainability of object-oriented software using metric threshold. Information Technology Journal, 13 (8). pp. 1540-1547. ISSN 1812-5638; ESSN: 1812-5646

Abstract

This study presents the empirical investigation into maintainability of software using Chidamber and Kemmerer Metric suite. The study used metric threshold to propose the model for predicting maintainability of object-oriented software. Two geospatial software systems were used to identify the extent on which the metrics in Chidamber and Kemmerer suite can be used to track the needed efforts during maintenance phase. Linear Discriminant Analysis was used to find the performance measurement for each metric in order to understand their overall effect on particular software product. The results indicated the significant impact of the Chidamber and Kemmerer metrics in predicting maintainability when threshold are used over experts’ opinions. Moreover, the results found the important role of size and inheritance metrics in predicting maintainability of Object-oriented software and highlighted the needs for further empirical investigation. This is specifically on the production of more metrics thresholds that give researchers and practitioners a room to work on more metrics.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.3923/itj.2014.1540.1547
Publisher: Asian Network for Scientific Information
Keywords: Maintainability; Metric threshold; Expert’s opinions; Object-oriented software; Linear discriminant analysis
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 11 Oct 2016 02:22
Last Modified: 11 Oct 2016 02:22
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3923/itj.2014.1540.1547
URI: http://psasir.upm.edu.my/id/eprint/34987
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