A Novel Multi-Objective Evolutionary Algorithm to Address Turnover in the Software Project Scheduling Problem Based on Best Fit Skills Criterion-Reference-Cited by-同舟云学术

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A Novel Multi-Objective Evolutionary Algorithm to Address Turnover in the Software Project Scheduling Problem Based on Best Fit Skills Criterion

Published:2023 Issue: Volume:11 Page:89742-89756
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nigar Natasha¹^ORCID,Shahzad Muhammad Kashif²,Islam Shahid¹^ORCID,Oki Olukayode³^ORCID,Lukose Jose Manappattukunnel³^ORCID

Affiliation:

1. Department of Computer Science, RCET, University of Engineering & Technology Lahore, Lahore, Pakistan

2. Ministry of Energy, Power Division, Government of Pakistan, Power Information Technology Company (PITC), Lahore, Pakistan

3. Department of Information Technology, Walter Sisulu University, Mthatha, South Africa

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10225046.pdf?arnumber=10225046

Reference39 articles.

1. Dynamic Resource Scheduling in Disruption-Prone Software Development Environments

2. Dynamic Software Project Scheduling through a Proactive-Rescheduling Method

3. Using multi-objective metaheuristics to solve the software project scheduling problem

4. A model based on information entropy to measure developer turnover risk on software project;rong;Proc 2nd IEEE Int Conf Comput Sci Inf Technol,2009

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