DocumentCode :
3291029
Title :
Software Project Management Net: a new methodology on software management
Author :
Chang, Carl K. ; Chao, Chikuang ; Nguyen, Thinh T. ; Christensen, Mark
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
fYear :
1998
fDate :
19-21 Aug 1998
Firstpage :
534
Lastpage :
539
Abstract :
Managing the development of large-scale software systems is a challenge to all software project managers due to the ever-increasing complexity inherent in the software development life-cycle. In this paper, a formalism intended to capture the concurrent and iterative nature of software development, called Software Project Management Net (SPMNet), is proposed in order to model software development projects. By augmenting and applying genetic algorithms in an innovative manner by sharply reducing the solution search-space complexity, SPMNet provides optimal or near-optimal solutions to the resource allocation and project scheduling problems. Results collected from simulation runs clearly support our approach for practical applications
Keywords :
computational complexity; genetic algorithms; large-scale systems; project management; resource allocation; scheduling; search problems; software development management; SPMNet; Software Project Management Net; concurrency; genetic algorithms; iterative software development; large-scale software systems development; project scheduling; resource allocation; simulation runs; software development life-cycle; solution search-space complexity; Chaos; Costs; Electrical capacitance tomography; Engineering management; Genetic algorithms; Programming; Project management; Read only memory; Resource management; Software development management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference, 1998. COMPSAC '98. Proceedings. The Twenty-Second Annual International
Conference_Location :
Vienna
ISSN :
0730-3157
Print_ISBN :
0-8186-8585-9
Type :
conf
DOI :
10.1109/CMPSAC.1998.716715
Filename :
716715
Link To Document :
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