A Framework to Predict Software “Quality in Use” from Software Reviews
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...
| Main Authors: | , |
|---|---|
| Format: | Proceeding |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/8457/ http://ir.unimas.my/id/eprint/8457/1/Issa%20Atoum.pdf |
| _version_ | 1848836380479717376 |
|---|---|
| author | Issa, Atoum Bong, Chih How |
| author_facet | Issa, Atoum Bong, Chih How |
| author_sort | Issa, Atoum |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T06:22:51Z |
| format | Proceeding |
| id | unimas-8457 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:22:51Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-84572022-01-04T03:40:18Z http://ir.unimas.my/id/eprint/8457/ A Framework to Predict Software “Quality in Use” from Software Reviews Issa, Atoum Bong, Chih How T Technology (General) 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. 2013 Proceeding NonPeerReviewed text en http://ir.unimas.my/id/eprint/8457/1/Issa%20Atoum.pdf 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. http://www.researchgate.net/publication/265550448_A_Framework_to_Predict_Software_Quality_in_Use_from_Software_Reviews |
| spellingShingle | T Technology (General) Issa, Atoum Bong, Chih How A Framework to Predict Software “Quality in Use” from Software Reviews |
| title | A Framework to Predict Software “Quality in Use” from
Software Reviews |
| title_full | A Framework to Predict Software “Quality in Use” from
Software Reviews |
| title_fullStr | A Framework to Predict Software “Quality in Use” from
Software Reviews |
| title_full_unstemmed | A Framework to Predict Software “Quality in Use” from
Software Reviews |
| title_short | A Framework to Predict Software “Quality in Use” from
Software Reviews |
| title_sort | framework to predict software “quality in use” from
software reviews |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/8457/ http://ir.unimas.my/id/eprint/8457/ http://ir.unimas.my/id/eprint/8457/1/Issa%20Atoum.pdf |