Software Evolution Using User Reviews

Bosu, Michael Franklin (2017) Software Evolution Using User Reviews. Research in Action, Hamilton, New Zealand, 20 November, 2017. (Unpublished)

[img] PDF (Research in Action Presentation 2017) - Presentation
Available under License Creative Commons Attribution Non-commercial No Derivatives.


Abstract or Summary

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
Keywords that describe the item: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
ID Code:6167
Deposited By:
Deposited On:28 Sep 2018 00:04
Last Modified:28 Sep 2018 00:04

Repository Staff Only: item control page