Integrating online user feedback to identify software product development insights
There is an ever-increasing amount of user feedback available online. Software users tweet about their frustrations, leave reviews in app stores detailing their opinions of the software, and more. However, software vendors are mostly ignoring this data for product development insights. The sheer volume of feedback makes it near impossible for a software development team to keep abreast of everything that users are saying about their products online. Some techniques exist to filter, summarize, and rank app store reviews and tweets about software products. However, no techniques exist to combine the data across many different sources to enable a more comprehensive understanding of user feedback.
This project will investigate how to integrate data across multiple sources. Each source of user feedback varies in its purpose, so the types of data available from each source will vary. Thus, collecting the right information from each source is important, and simply summarizing across all sources may miss key information. The project will use machine learning and natural language processing techniques to integrate user feedback across multiple sources to create new software requirements. This research will enable the automatic identification of detailed software requirements from online user feedback, leading to better software products that satisfy users.
PhD Location: The University of Auckland, New Zealand
The University of Auckland is New Zealand’s leading university and one of the world’s major research universities. It is internationally recognized for excellence and was ranked 85th in the world in the most recent QS World University Rankings, making it a prestigious place to do your PhD research.
Auckland is New Zealand’s largest city and the center of the country’s retail and commercial activities. The city is surrounded by 11 dormant volcanoes, numerous picturesque islands, surf beaches, and an abundance of bush walks.
Funding covers all fees and provides a living stipend.
Applications should be sent via email to Dr. Blincoe. The email subject should be "Application for PhD scholarship". The application must include all academic transcripts, a CV, and a statement of research interests. Applications that do not contain all required information will not be reviewed. Entry requirements can be found at: https://www.auckland.ac.nz/en/study/applications-and-admissions/entry-requirements/postgraduate-entry-requirements/doctoral-entry-requirements.html