Project scheduling problem for software development with random fuzzy activity duration times

Wei Huang; Lixin Ding; Bin Wen; Buqing Cao

doi:10.1007/978-3-642-01510-6_8

Project scheduling problem for software development with random fuzzy activity duration times

Wei Huang^*, Lixin Ding, Bin Wen, Buqing Cao

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Citations (Scopus)

Abstract

This paper presents a new method that describes activity duration times, which can be as random fuzzy variables to solve the software project scheduling problem. It solves the problem of the present classic models, such as PERT and CPM, which are weak in solving project scheduling problem for software development due to the concurrent, iterative and evolutionary nature characteristics of software projects. Next, a novel stochastic software project scheduling model -expected cost model -is suggested. Furthermore, basing on genetic algorithm and random fuzzy simulation, a hybrid intelligent algorithm is designed to solve the expected cost model. Numerical experiments illustrate the effectiveness of the hybrid intelligent algorithm.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
Pages	60-69
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-01510-6_8
Publication status	Published - 2009
Externally published	Yes
Event	6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China Duration: 26 May 2009 → 29 May 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5552 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Symposium on Neural Networks, ISNN 2009
Country/Territory	China
City	Wuhan
Period	26/05/09 → 29/05/09

Keywords

Genetic algorithm
Hybrid intelligent algorithm
Project scheduling problem for software development
Random fuzzy simulation

Access to Document

10.1007/978-3-642-01510-6_8

Cite this

Huang, W., Ding, L., Wen, B., & Cao, B. (2009). Project scheduling problem for software development with random fuzzy activity duration times. In Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings (PART 2 ed., pp. 60-69). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5552 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-01510-6_8

Huang, Wei ; Ding, Lixin ; Wen, Bin et al. / Project scheduling problem for software development with random fuzzy activity duration times. Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2. ed. 2009. pp. 60-69 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Project scheduling problem for software development with random fuzzy activity duration times",

abstract = "This paper presents a new method that describes activity duration times, which can be as random fuzzy variables to solve the software project scheduling problem. It solves the problem of the present classic models, such as PERT and CPM, which are weak in solving project scheduling problem for software development due to the concurrent, iterative and evolutionary nature characteristics of software projects. Next, a novel stochastic software project scheduling model -expected cost model -is suggested. Furthermore, basing on genetic algorithm and random fuzzy simulation, a hybrid intelligent algorithm is designed to solve the expected cost model. Numerical experiments illustrate the effectiveness of the hybrid intelligent algorithm.",

keywords = "Genetic algorithm, Hybrid intelligent algorithm, Project scheduling problem for software development, Random fuzzy simulation",

author = "Wei Huang and Lixin Ding and Bin Wen and Buqing Cao",

year = "2009",

doi = "10.1007/978-3-642-01510-6_8",

language = "English",

isbn = "3642015093",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "60--69",

booktitle = "Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings",

edition = "PART 2",

note = "6th International Symposium on Neural Networks, ISNN 2009 ; Conference date: 26-05-2009 Through 29-05-2009",

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Huang, W, Ding, L, Wen, B & Cao, B 2009, Project scheduling problem for software development with random fuzzy activity duration times. in Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5552 LNCS, pp. 60-69, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, 26/05/09. https://doi.org/10.1007/978-3-642-01510-6_8

Project scheduling problem for software development with random fuzzy activity duration times. / Huang, Wei; Ding, Lixin; Wen, Bin et al.
Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2. ed. 2009. p. 60-69 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5552 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Project scheduling problem for software development with random fuzzy activity duration times

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AU - Ding, Lixin

AU - Wen, Bin

AU - Cao, Buqing

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N2 - This paper presents a new method that describes activity duration times, which can be as random fuzzy variables to solve the software project scheduling problem. It solves the problem of the present classic models, such as PERT and CPM, which are weak in solving project scheduling problem for software development due to the concurrent, iterative and evolutionary nature characteristics of software projects. Next, a novel stochastic software project scheduling model -expected cost model -is suggested. Furthermore, basing on genetic algorithm and random fuzzy simulation, a hybrid intelligent algorithm is designed to solve the expected cost model. Numerical experiments illustrate the effectiveness of the hybrid intelligent algorithm.

AB - This paper presents a new method that describes activity duration times, which can be as random fuzzy variables to solve the software project scheduling problem. It solves the problem of the present classic models, such as PERT and CPM, which are weak in solving project scheduling problem for software development due to the concurrent, iterative and evolutionary nature characteristics of software projects. Next, a novel stochastic software project scheduling model -expected cost model -is suggested. Furthermore, basing on genetic algorithm and random fuzzy simulation, a hybrid intelligent algorithm is designed to solve the expected cost model. Numerical experiments illustrate the effectiveness of the hybrid intelligent algorithm.

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KW - Hybrid intelligent algorithm

KW - Project scheduling problem for software development

KW - Random fuzzy simulation

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SN - 9783642015090

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Huang W, Ding L, Wen B, Cao B. Project scheduling problem for software development with random fuzzy activity duration times. In Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings. PART 2 ed. 2009. p. 60-69. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-01510-6_8

Project scheduling problem for software development with random fuzzy activity duration times

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Keywords

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