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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 7, 2019.
Abstract: A systematic and efficient measurement process can assist towards the production of quality software product. Metric-based measurement method often used to assess the product quality. Currently several hundreds of metrics have been proposed by previous researchers. However, there is no specific and structured mechanism for metrics selection process. Lack of awareness, knowledge and experience lead to selecting inappropriate and unsuitable metrics for assessment of software product quality done by the practitioners and stakeholders in the industry. Literature study found that the existing selection models are irrelevant and insufficient for assisting and supporting metrics selection process in which it should consists of criteria, and systematic and practical methods of selection process. A qualitative interview was conducted involving 12 experts and practitioners to reveal current issues in software measurement, to identify elements relevant for software metric selection process and to identify the appropriate and valid software metric selection criteria. Finding from this expert interview revealed important input from industry which are: Five main issues in software measurement, six elements associated with metric selection process and 13 criteria relevant for software metric selection.
Zubaidah Bukhari, Jamaiah Yahaya and Aziz Deraman, “Metric-based Measurement and Selection for Software Product Quality Assessment: Qualitative Expert Interviews” International Journal of Advanced Computer Science and Applications(IJACSA), 10(7), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100732
@article{Bukhari2019,
title = {Metric-based Measurement and Selection for Software Product Quality Assessment: Qualitative Expert Interviews},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100732},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100732},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {7},
author = {Zubaidah Bukhari and Jamaiah Yahaya and Aziz Deraman}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.