Solving the Software Project Scheduling Problem Using Intelligent Water Drops

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Date

2018

Journal Title

Journal ISSN

Volume Title

Publisher

Univ Osijek, Tech Fac

Research Projects

Organizational Units

Organizational Unit
Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

Journal Issue

Abstract

Within the category of project scheduling problems, there is a specific problem within the software industry referred to as the software project scheduling problem. The problem consists in the correct allocation of employees to the different tasks that make up a software project, bearing in mind time and cost restraints. To achieve this goal, the present work first uses metaheuristic intelligent water drops illustrating; this is a recent stochastic swarm-based method increasingly used for solving optimization problems. Finally, the results and comparisons with experiments performed with other techniques are presented, demonstrating the solidity of the approach presented.

Description

Misra, Sanjay/0000-0002-3556-9331; Rubio, Jose-Miguel/0000-0003-0377-4397

Keywords

combinational optimization, computational intelligence, intelligent water drops, metaheuristics, software project scheduling problem

Turkish CoHE Thesis Center URL

Citation

5

WoS Q

Q4

Scopus Q

Q3

Source

Volume

25

Issue

2

Start Page

350

End Page

357

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