Semantic Web Approaches in Stack Overflow

Anwar, Zeeshan; Afzal, Hammad; Kadry, Seifedine; Cheng, Cheng

doi:10.4018/ijswis.358617

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Semantic Web Approaches in Stack Overflow

Zeeshan Anwar

, Hammad Afzal, Seifedine Kadry, Cheng Cheng

International Journal on Semantic Web and Information Systems, Volume: 20, Issue: 1, Pages: 1 - 61

Swansea University Author: Cheng Cheng

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DOI (Published version): 10.4018/ijswis.358617

Abstract

StackOverflow (SO), a prominent question-answering site for programming, has amassed a vast repository of user-generated content since its inception in 2008. This paper conducts a thorough analysis of research trends on SO, examining 170 publications from 2008 to 2019. Utilizing qualitative and quan...

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Published in:	International Journal on Semantic Web and Information Systems
ISSN:	1552-6283 1552-6291
Published:	IGI Global 2024
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa68454

first_indexed	2024-12-03T19:48:16Z
last_indexed	2025-02-04T20:27:13Z
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spelling	2025-02-04T15:27:54.6615709 v2 68454 2024-12-03 Semantic Web Approaches in Stack Overflow 11ddf61c123b99e59b00fa1479367582 0000-0003-0371-9646 Cheng Cheng Cheng Cheng true false 2024-12-03 MACS StackOverflow (SO), a prominent question-answering site for programming, has amassed a vast repository of user-generated content since its inception in 2008. This paper conducts a thorough analysis of research trends on SO, examining 170 publications from 2008 to 2019. Utilizing qualitative and quantitative methods, the study categorizes papers using literature review and Latent Dirichlet Allocation (LDA), identifying 62 topics grouped into 8 main categories. Additionally, it highlights tools developed by researchers using SO data sets, showcasing their practical applications. The analysis also identifies research gaps and proposes future directions for each research area. This study serves as a valuable resource for practitioners and researchers interested in utilizing community data sets, offering insights into existing work, essential tools and techniques, and potential avenues for future research. Journal Article International Journal on Semantic Web and Information Systems 20 1 1 61 IGI Global 1552-6283 1552-6291 Research Trends, Stack Overflow, Techniques, Tools 9 11 2024 2024-11-09 10.4018/ijswis.358617 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Another institution paid the OA fee No funding was received for this work. 2025-02-04T15:27:54.6615709 2024-12-03T15:36:49.5055516 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Zeeshan Anwar 0000-0002-8029-0604 1 Hammad Afzal 2 Seifedine Kadry 3 Cheng Cheng 0000-0003-0371-9646 4 68454__33051__4fe15e4424894bbd97131ed06d29e732.pdf 68454.VOR.pdf 2024-12-03T15:50:35.8293648 Output 2280333 application/pdf Version of Record true This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0). true eng http://creative-commons.org/licenses/by/4.0/
title	Semantic Web Approaches in Stack Overflow
spellingShingle	Semantic Web Approaches in Stack Overflow Cheng Cheng
title_short	Semantic Web Approaches in Stack Overflow
title_full	Semantic Web Approaches in Stack Overflow
title_fullStr	Semantic Web Approaches in Stack Overflow
title_full_unstemmed	Semantic Web Approaches in Stack Overflow
title_sort	Semantic Web Approaches in Stack Overflow
author_id_str_mv	11ddf61c123b99e59b00fa1479367582
author_id_fullname_str_mv	11ddf61c123b99e59b00fa1479367582_***_Cheng Cheng
author	Cheng Cheng
author2	Zeeshan Anwar Hammad Afzal Seifedine Kadry Cheng Cheng
format	Journal article
container_title	International Journal on Semantic Web and Information Systems
container_volume	20
container_issue	1
container_start_page	1
publishDate	2024
institution	Swansea University
issn	1552-6283 1552-6291
doi_str_mv	10.4018/ijswis.358617
publisher	IGI Global
college_str	Faculty of Science and Engineering
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description	StackOverflow (SO), a prominent question-answering site for programming, has amassed a vast repository of user-generated content since its inception in 2008. This paper conducts a thorough analysis of research trends on SO, examining 170 publications from 2008 to 2019. Utilizing qualitative and quantitative methods, the study categorizes papers using literature review and Latent Dirichlet Allocation (LDA), identifying 62 topics grouped into 8 main categories. Additionally, it highlights tools developed by researchers using SO data sets, showcasing their practical applications. The analysis also identifies research gaps and proposes future directions for each research area. This study serves as a valuable resource for practitioners and researchers interested in utilizing community data sets, offering insights into existing work, essential tools and techniques, and potential avenues for future research.
published_date	2024-11-09T05:44:36Z
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Semantic Web Approaches in Stack Overflow

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