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Modeling uncertainties involved with software development with a stochastic Petri net
Author(s) -
Li Xiao Ming,
Wang Ying Luo,
Sun Lin Yan,
Li Ling
Publication year - 2006
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.2006.00411.x
Subject(s) - computer science , petri net , stochastic petri net , software , process (computing) , software development , software development process , software engineering , distributed computing , programming language
Due to the rapid growth of the IT industry as well as the high failure rate of software development projects, it is highly desirable to develop a qualitative approach for dealing with uncertainties in the software development process. In order to manage risk and uncertainty, a software project uncertainty management approach based on a generalized stochastic Petri net is proposed. It consists of two main components: model building based on a Petri net and a Markov process algorithm. The technique is presented with an example. Finally, the proposed model is demonstrated with a real‐world case.