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Prioritizing tasks in software development: A systematic literature review
Task prioritization is one of the most researched areas in software development. Given the huge number of papers written on the topic, it might be challenging for IT practitioners–software developers, and IT project managers–to find the most appropriate tools or methods developed to date to deal wit...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079059/ https://www.ncbi.nlm.nih.gov/pubmed/37023020 http://dx.doi.org/10.1371/journal.pone.0283838 |
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author | Bugayenko, Yegor Bakare, Ayomide Cheverda, Arina Farina, Mirko Kruglov, Artem Plaksin, Yaroslav Pedrycz, Witold Succi, Giancarlo |
author_facet | Bugayenko, Yegor Bakare, Ayomide Cheverda, Arina Farina, Mirko Kruglov, Artem Plaksin, Yaroslav Pedrycz, Witold Succi, Giancarlo |
author_sort | Bugayenko, Yegor |
collection | PubMed |
description | Task prioritization is one of the most researched areas in software development. Given the huge number of papers written on the topic, it might be challenging for IT practitioners–software developers, and IT project managers–to find the most appropriate tools or methods developed to date to deal with this important issue. The main goal of this work is therefore to review the current state of research and practice on task prioritization in the Software Engineering domain and to individuate the most effective ranking tools and techniques used in the industry. For this purpose, we conducted a systematic literature review guided and inspired by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, otherwise known as the PRISMA statement. Based on our analysis, we can make a number of important observations for the field. Firstly, we found that most of the task prioritization approaches developed to date involve a specific type of prioritization strategy—bug prioritization. Secondly, the most recent works we review investigate task prioritization in terms of “pull request prioritization” and “issue prioritization,” (and we speculate that the number of such works will significantly increase due to the explosion of version control and issue management software systems). Thirdly, we remark that the most frequently used metrics for measuring the quality of a prioritization model are f-score, precision, recall, and accuracy. |
format | Online Article Text |
id | pubmed-10079059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100790592023-04-07 Prioritizing tasks in software development: A systematic literature review Bugayenko, Yegor Bakare, Ayomide Cheverda, Arina Farina, Mirko Kruglov, Artem Plaksin, Yaroslav Pedrycz, Witold Succi, Giancarlo PLoS One Research Article Task prioritization is one of the most researched areas in software development. Given the huge number of papers written on the topic, it might be challenging for IT practitioners–software developers, and IT project managers–to find the most appropriate tools or methods developed to date to deal with this important issue. The main goal of this work is therefore to review the current state of research and practice on task prioritization in the Software Engineering domain and to individuate the most effective ranking tools and techniques used in the industry. For this purpose, we conducted a systematic literature review guided and inspired by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, otherwise known as the PRISMA statement. Based on our analysis, we can make a number of important observations for the field. Firstly, we found that most of the task prioritization approaches developed to date involve a specific type of prioritization strategy—bug prioritization. Secondly, the most recent works we review investigate task prioritization in terms of “pull request prioritization” and “issue prioritization,” (and we speculate that the number of such works will significantly increase due to the explosion of version control and issue management software systems). Thirdly, we remark that the most frequently used metrics for measuring the quality of a prioritization model are f-score, precision, recall, and accuracy. Public Library of Science 2023-04-06 /pmc/articles/PMC10079059/ /pubmed/37023020 http://dx.doi.org/10.1371/journal.pone.0283838 Text en © 2023 Bugayenko 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, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bugayenko, Yegor Bakare, Ayomide Cheverda, Arina Farina, Mirko Kruglov, Artem Plaksin, Yaroslav Pedrycz, Witold Succi, Giancarlo Prioritizing tasks in software development: A systematic literature review |
title | Prioritizing tasks in software development: A systematic literature review |
title_full | Prioritizing tasks in software development: A systematic literature review |
title_fullStr | Prioritizing tasks in software development: A systematic literature review |
title_full_unstemmed | Prioritizing tasks in software development: A systematic literature review |
title_short | Prioritizing tasks in software development: A systematic literature review |
title_sort | prioritizing tasks in software development: a systematic literature review |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079059/ https://www.ncbi.nlm.nih.gov/pubmed/37023020 http://dx.doi.org/10.1371/journal.pone.0283838 |
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