Identifying Temporal Corpus for Enhanced User Comments Analysis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, Jongwook | - |
dc.contributor.author | Lee, Youn Kyu | - |
dc.date.accessioned | 2023-12-11T07:07:16Z | - |
dc.date.available | 2023-12-11T07:07:16Z | - |
dc.date.issued | 2022-03-01 | - |
dc.identifier.issn | 0218-1940 | - |
dc.identifier.issn | 1793-6403 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/32065 | - |
dc.description.abstract | User comments provide valuable information for requirements analysis. To effectively extract requirements from user comments, it is important to determine informative user comments. However, existing studies have mainly focused on NLP-based methods for analyzing user comments, rather than defining a set of user comments to be analyzed. If target user comments are not clearly determined, duplicate requirements can be discovered or new requirements cannot be discovered. To tackle this problem, we present a new method which defines a set of target corpora from user comments. Our method automatically defines a set of target corpora to be analyzed by identifying underlying temporal changes in user comments. We applied our method to real-world user comments collected from a mobile application store. We confirmed that our method successfully defined a set of corpora which aids the effective requirements elicitation, and facilitated discovering new requirements while avoiding the derivation of redundant requirements. | - |
dc.format.extent | 18 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | WORLD SCIENTIFIC PUBL CO PTE LTD | - |
dc.title | Identifying Temporal Corpus for Enhanced User Comments Analysis | - |
dc.type | Article | - |
dc.publisher.location | 싱가폴 | - |
dc.identifier.doi | 10.1142/S021819402250022X | - |
dc.identifier.scopusid | 2-s2.0-85129786915 | - |
dc.identifier.wosid | 000793205300005 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, v.32, no.03, pp 439 - 456 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING | - |
dc.citation.volume | 32 | - |
dc.citation.number | 03 | - |
dc.citation.startPage | 439 | - |
dc.citation.endPage | 456 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordAuthor | User feedback | - |
dc.subject.keywordAuthor | user requirements | - |
dc.subject.keywordAuthor | requirements engineering | - |
dc.subject.keywordAuthor | natural language processing | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.