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Providing a model to estimate the probability of the complexity of software projects

Marzoughi, Foad and Farhangian, Mohammad Mehdi and Sim, Alex Tze Hiang (2010) Providing a model to estimate the probability of the complexity of software projects. International Journal of Computer and Network Security (IJCNS) , 2 (10). pp. 203-206. ISSN 0975-8283

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Function Point Analysis (FPA) is most used technique for estimating the size of a computerized business information system which was developed by Allan Albrecht. Various studies proposed new methods to extent FPA algorithm; mainly they tried to make it more precise but they are based on the similarity of previous projects so this paper is proposed. This paper, presents a statistical simulation method that can be applied for each generic project. The proposed method is a new method to assess estimation of size and effort of software projects by a stochastic and Markov chain approach. Based on Metropolis-hasting simulation algorithm, we formulate a Probabilistic Function Point Analysis (PFPA). Moreover, A Bayesian belief network approach is used for determination of complexity of system. It determines the function weights utilizing Markov chain theory to support estimating the effort of software projects. As a case study, this new method is applied in online publication domain. This method can increase the chance of implementation of generic projects on time.

Item Type:Article
Uncontrolled Keywords:bayesian probability, Markov chain Monte Carlo simulation, function point analysis
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:38178
Deposited On:14 May 2014 13:15
Last Modified:25 Oct 2017 11:33

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