A Framework to Predict Software “Quality in Use” from Software Reviews

Issa, Atoum and Bong, Chih How (2013) A Framework to Predict Software “Quality in Use” from Software Reviews. In: First International Conference on Advanced Data and Information Engineering, 12/2013.

A Framework to Predict Software “Quality in Use” from Software Reviews (abstract).pdf

Download (26kB) | Preview
Official URL: http://www.researchgate.net/publication/265550448_...


Software reviews are verified to be a good source of users’ experience. The software “quality in use” concerns meeting users’ needs. Current software quality models such as McCall and Boehm, are built to support software development process, rather than users perspectives. In this paper, opinion mining is used to extract and summarize software “quality in use” from software reviews. A framework to detect software “quality in use” as defined by the ISO/IEC 25010 standard is presented here. The framework employs opinionfeature double propagation to expand predefined lists of software “quality in use” features to domain specific features. Clustering is used to learn software feature “quality in use” characteristics group. A preliminary result of extracted software features shows promising results in this direction.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: “quality in use”; software reviews; opinion mining; ISO 25010; quality model; product reviews, 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
Depositing User: Karen Kornalius
Date Deposited: 03 Aug 2015 07:53
Last Modified: 03 Aug 2015 07:53
URI: http://ir.unimas.my/id/eprint/8457

Actions (For repository members only: login required)

View Item View Item