App Reviews: Breaking the User and Developer Language Barrier

Handle URI:
http://hdl.handle.net/10754/622133
Title:
App Reviews: Breaking the User and Developer Language Barrier
Authors:
Hoon, Leonard; Rodriguez-Garcia, Miguel Angel ( 0000-0001-6244-6532 ) ; Vasa, Rajesh; Valencia-García, Rafael; Schneider, Jean-Guy
Abstract:
Apple, Google and third party developers offer apps across over twenty categories for various smart mobile devices. Offered exclusively through the App Store and Google Play, each app allows users to review the app and their experience with it. Current literature offers a general statistical picture of these reviews, and a broad overview of the nature of discontent of apps. However, we do not yet have a good framework to classify user reviews against known software quality attributes like performance or usability. In order to close this gap, in this paper, we develop an ontology encompassing software attributes derived from software quality models. This decomposes into approximately five thousand words that users employ to review apps. By identifying a consistent set of vocabulary that users communicate with, we can sanitise large datasets to extract stakeholder actionable information from reviews. The findings offered in this paper assists future app review analysis by bridging end-user communication and software engineering vocabulary.
KAUST Department:
Computational Bioscience Research Center (CBRC)
Citation:
Hoon L, Rodriguez-García MA, Vasa R, Valencia-García R, Schneider J-G (2015) App Reviews: Breaking the User and Developer Language Barrier. Trends and Applications in Software Engineering: 223–233. Available: http://dx.doi.org/10.1007/978-3-319-26285-7_19.
Publisher:
Springer Science + Business Media
Journal:
Trends and Applications in Software Engineering
Conference/Event name:
4th International Conference on Software Process Improvement, CIMPS 2015
Issue Date:
22-Oct-2015
DOI:
10.1007/978-3-319-26285-7_19
Type:
Conference Paper
ISSN:
2194-5357; 2194-5365
Appears in Collections:
Conference Papers; Computational Bioscience Research Center (CBRC)

Full metadata record

DC FieldValue Language
dc.contributor.authorHoon, Leonarden
dc.contributor.authorRodriguez-Garcia, Miguel Angelen
dc.contributor.authorVasa, Rajeshen
dc.contributor.authorValencia-García, Rafaelen
dc.contributor.authorSchneider, Jean-Guyen
dc.date.accessioned2017-01-02T08:10:20Z-
dc.date.available2017-01-02T08:10:20Z-
dc.date.issued2015-10-22en
dc.identifier.citationHoon L, Rodriguez-García MA, Vasa R, Valencia-García R, Schneider J-G (2015) App Reviews: Breaking the User and Developer Language Barrier. Trends and Applications in Software Engineering: 223–233. Available: http://dx.doi.org/10.1007/978-3-319-26285-7_19.en
dc.identifier.issn2194-5357en
dc.identifier.issn2194-5365en
dc.identifier.doi10.1007/978-3-319-26285-7_19en
dc.identifier.urihttp://hdl.handle.net/10754/622133-
dc.description.abstractApple, Google and third party developers offer apps across over twenty categories for various smart mobile devices. Offered exclusively through the App Store and Google Play, each app allows users to review the app and their experience with it. Current literature offers a general statistical picture of these reviews, and a broad overview of the nature of discontent of apps. However, we do not yet have a good framework to classify user reviews against known software quality attributes like performance or usability. In order to close this gap, in this paper, we develop an ontology encompassing software attributes derived from software quality models. This decomposes into approximately five thousand words that users employ to review apps. By identifying a consistent set of vocabulary that users communicate with, we can sanitise large datasets to extract stakeholder actionable information from reviews. The findings offered in this paper assists future app review analysis by bridging end-user communication and software engineering vocabulary.en
dc.publisherSpringer Science + Business Mediaen
dc.subjectOntology developmenten
dc.subjectSemantic annotationen
dc.subjectSentiment analysisen
dc.subjectUser reviewsen
dc.titleApp Reviews: Breaking the User and Developer Language Barrieren
dc.typeConference Paperen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.identifier.journalTrends and Applications in Software Engineeringen
dc.conference.date2015-10-28 to 2015-10-30en
dc.conference.name4th International Conference on Software Process Improvement, CIMPS 2015en
dc.conference.locationCuliacan, MEXen
dc.contributor.institutionEngineering and Technology, Swinburne University of Technology, Melbourne, Australiaen
dc.contributor.institutionDepartment of Informatics and Systems Universidad de Murcia, Murcia, Spainen
kaust.authorRodriguez-Garcia, Miguel Angelen
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