Automatically Prioritizing Tasks in Software Development
Küçük Resim Yok
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee-Inst Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Within the domain of managing software development teams, effective task prioritization is a critical responsibility that should not be underestimated, particularly for larger organizations with significant backlogs. Current approaches primarily rely on predicting task priority without considering information about other tasks, potentially resulting in inaccurate priority predictions. This paper presents the benefits of considering the entire backlog when prioritizing tasks. We employ an iterative approach using Particle Swarm Optimization to optimize a linear model with various preprocessing methods to determine the optimal model for task prioritization within a backlog. The findings of our study demonstrate the usefulness of constructing a task prioritization model based on complete information from the backlog. The method proposed in our study can serve as a valuable resource for future researchers and can also facilitate the development of new tools to aid IT management teams.
Açıklama
Anahtar Kelimeler
Task Analysis, Linear Programming, Prediction Algorithms, Codes, Measurement, Software Engineering, Project Management, Software Product Lines, Linear Systems, Software Development Management, Software Project Management, Task Prioritization, Linear Model
Kaynak
Ieee Access
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
11
