AH-CID: A tool to automatically detect human-centric issues in app reviews

Collins Mathews, Kenny Ye, Jake Grozdanovski, Marcus Marinelli, Kai Zhong, Hourieh Khalajzadeh, Humphrey Obie, John Grundy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In modern software development, there is a growing emphasis on creating and designing around the end-user. This has sparked the widespread adoption of human-centred design and agile development. These concepts intersect during the user feedback stage in agile development, where user requirements are re-evaluated and utilised towards the next iteration of development. An issue arises when the amount of user feedback far exceeds the team’s capacity to extract meaningful data. As a result, many critical concerns and issues may fall through the cracks and remain unnoticed, or the team must spend a great deal of time in analysing the data that can be better spent elsewhere. In this paper, a tool is presented that analyses a large number of user reviews from 24 mobile apps. These are used to train a machine learning (ML) model to automatically generate the probability of the existence of human-centric issues, to automate and streamline the user feedback review analysis process. Evaluation shows an improved ability to find human-centric issues of the users.

Original languageEnglish (US)
Title of host publicationProceedings of the 16th International Conference on Software Technologies, ICSOFT 2021
EditorsHans-Georg Fill, Marten van Sinderen, Leszek Maciaszek, Leszek Maciaszek
PublisherSciTePress
Pages386-397
Number of pages12
ISBN (Electronic)9789897585234
DOIs
StatePublished - 2021
Externally publishedYes
Event16th International Conference on Software Technologies, ICSOFT 2021 - Virtual, Online
Duration: Jul 6 2021Jul 8 2021

Publication series

NameProceedings of the 16th International Conference on Software Technologies, ICSOFT 2021

Conference

Conference16th International Conference on Software Technologies, ICSOFT 2021
CityVirtual, Online
Period7/6/217/8/21

Keywords

  • App Reviews
  • End-user
  • Human-centred Design
  • Human-centric Issues
  • Machine Learning

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications

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