Prioritizing tasks in software development: A systematic literature review

被引:17
作者
Bugayenko, Yegor [1 ]
Bakare, Ayomide [2 ]
Cheverda, Arina [2 ]
Farina, Mirko [3 ]
Kruglov, Artem [2 ]
Plaksin, Yaroslav [2 ]
Pedrycz, Witold [4 ]
Succi, Giancarlo [5 ]
机构
[1] Huawei, Moscow, Russia
[2] Innopolis Univ, Inst Software Dev & Engn, Innopolis, Russia
[3] Innopolis Univ, Inst Human & Social Sci, Innopolis, Russia
[4] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB, Canada
[5] Univ Bologna, Dept Comp Sci & Engn, Bologna, Italy
关键词
REQUIREMENTS PRIORITIZATION; SEVERITY PREDICTION; BUG REPORT; RECOMMENDER; SMOTE;
D O I
10.1371/journal.pone.0283838
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:31
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