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Abstract
A presentation on the use of user reviews in the evolution of a software system. We applied text mining in identifying feature of interest to users of Android Operating System. We extracted noun phrases from enhancement requests and release notes. In addition we applied computational linguistic n-gram analysis by computing the total of each noun as unigrams. The results indicate that Android developers rely on end user reviews in evolving the Android Operating System.
| Item Type: | Paper presented at a conference, workshop, or other event which was not published in the proceedings |
|---|---|
| Uncontrolled Keywords: | Android, n-gram, text mining, software evolution |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology |
| Depositing User: | Michael Bosu |
| Date Deposited: | 28 Sep 2018 00:04 |
| Last Modified: | 21 Jul 2023 07:24 |
| URI: | http://researcharchive.wintec.ac.nz/id/eprint/6167 |
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