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Bots in software engineering: a systematic mapping study
Bots have emerged from research prototypes to deployable systems due to the recent developments in machine learning, natural language processing and understanding techniques. In software engineering, bots range from simple automated scripts to decision-making autonomous systems. The spectrum of appl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044364/ https://www.ncbi.nlm.nih.gov/pubmed/35494879 http://dx.doi.org/10.7717/peerj-cs.866 |
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author | Santhanam, Sivasurya Hecking, Tobias Schreiber, Andreas Wagner, Stefan |
author_facet | Santhanam, Sivasurya Hecking, Tobias Schreiber, Andreas Wagner, Stefan |
author_sort | Santhanam, Sivasurya |
collection | PubMed |
description | Bots have emerged from research prototypes to deployable systems due to the recent developments in machine learning, natural language processing and understanding techniques. In software engineering, bots range from simple automated scripts to decision-making autonomous systems. The spectrum of applications of bots in software engineering is so wide and diverse, that a comprehensive overview and categorization of such bots is needed. Existing works considered selective bots to be analyzed and failed to provide the overall picture. Hence it is significant to categorize bots in software engineering through analyzing why, what and how the bots are applied in software engineering. We approach the problem with a systematic mapping study based on the research articles published in this topic. This study focuses on classification of bots used in software engineering, the various dimensions of the characteristics, the more frequently researched area, potential research spaces to be explored and the perception of bots in the developer community. This study aims to provide an introduction and a broad overview of bots used in software engineering. Discussions of the feedback and results from several studies provide interesting insights and prospective future directions. |
format | Online Article Text |
id | pubmed-9044364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90443642022-04-28 Bots in software engineering: a systematic mapping study Santhanam, Sivasurya Hecking, Tobias Schreiber, Andreas Wagner, Stefan PeerJ Comput Sci Human-Computer Interaction Bots have emerged from research prototypes to deployable systems due to the recent developments in machine learning, natural language processing and understanding techniques. In software engineering, bots range from simple automated scripts to decision-making autonomous systems. The spectrum of applications of bots in software engineering is so wide and diverse, that a comprehensive overview and categorization of such bots is needed. Existing works considered selective bots to be analyzed and failed to provide the overall picture. Hence it is significant to categorize bots in software engineering through analyzing why, what and how the bots are applied in software engineering. We approach the problem with a systematic mapping study based on the research articles published in this topic. This study focuses on classification of bots used in software engineering, the various dimensions of the characteristics, the more frequently researched area, potential research spaces to be explored and the perception of bots in the developer community. This study aims to provide an introduction and a broad overview of bots used in software engineering. Discussions of the feedback and results from several studies provide interesting insights and prospective future directions. PeerJ Inc. 2022-02-09 /pmc/articles/PMC9044364/ /pubmed/35494879 http://dx.doi.org/10.7717/peerj-cs.866 Text en ©2022 Santhanam et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Human-Computer Interaction Santhanam, Sivasurya Hecking, Tobias Schreiber, Andreas Wagner, Stefan Bots in software engineering: a systematic mapping study |
title | Bots in software engineering: a systematic mapping study |
title_full | Bots in software engineering: a systematic mapping study |
title_fullStr | Bots in software engineering: a systematic mapping study |
title_full_unstemmed | Bots in software engineering: a systematic mapping study |
title_short | Bots in software engineering: a systematic mapping study |
title_sort | bots in software engineering: a systematic mapping study |
topic | Human-Computer Interaction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044364/ https://www.ncbi.nlm.nih.gov/pubmed/35494879 http://dx.doi.org/10.7717/peerj-cs.866 |
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