Issa, Atoum and Bong, Chih How and Narayanan, Kulathuramaiyer (2014) Towards Resolving Software Quality-in-Use Measurement Challenges. Journal of Emerging Trends in Computing and Information Sciences, 5 (11). pp. 877-885. ISSN 2079-8407
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Abstract
Software quality-in-use comprehends the quality from user’s perspectives. It has gained its importance in e-learning applications, mobile service based applications and project management tools. User’s decisions on software acquisitions are often ad hoc or based on preference due to difficulty in quantitatively measure software quality-in-use. However, why qualityin- use measurement is difficult? Although there are many software quality models to our knowledge, no works surveys the challenges related to software quality-in-use measurement. This paper has two main contributions; 1) presents major issues and challenges in measuring software quality-in-use in the context of the ISO SQuaRE series and related software quality models, 2) Presents a novel framework that can be used to predict software quality-in-use, and 3) presents preliminary results of quality-in-use topic prediction. Concisely, the issues are related to the complexity of the current standard models and the limitations and incompleteness of the customized software quality models. The proposed framework employs sentiment analysis techniques to predict software quality-in-use.
| Item Type: | Article |
|---|---|
| Additional Information: | Information, Communication and Creative Technology |
| Uncontrolled Keywords: | Software Quality-in-use; ISO 25010; SQUARE series; Sentiment analysis, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 03 Aug 2015 07:35 |
| Last Modified: | 29 Sep 2022 06:38 |
| URI: | http://ir.unimas.my/id/eprint/8455 |
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