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Development of Simple Effort Estimation Model based on Fuzzy Logic using Bayesian Networks

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Artificial Intelligence Techniques - Novel Approaches & Practical Applications
© 2011 by IJCA Journal
Number 3 - Article 6
Year of Publication: 2011
Authors:
Abou Bakar Nauman
Romana Aziz
10.5120/2836-217

Abou Bakar Nauman and Romana Aziz. Development of Simple Effort Estimation Model based on Fuzzy Logic using Bayesian Networks. IJCA Special Issue on Artificial Intelligence Techniques - Novel Approaches & Practical Applications (3):4–7, 2011. Full text available. BibTeX

@article{key:article,
	author = {Abou Bakar Nauman and Romana Aziz},
	title = {Development of Simple Effort Estimation Model based on Fuzzy Logic using Bayesian Networks},
	journal = {IJCA Special Issue on Artificial Intelligence Techniques - Novel Approaches & Practical Applications},
	year = {2011},
	number = {3},
	pages = {4--7},
	note = {Full text available}
}

Abstract

Intelligent software estimation models are need of the time. With increased development of Bayesian networks for software project management, one requires an explicit Bayesian Network (BN) to provide effort estimates based on historical data. This paper proposes a simple BN, based on classification approach. However the classes of ranges of size value, are distributed with help of fuzzification to distribute the probability of crisp value The model is simple and smaller, thus can easily be connected to static as well as dynamic Bayesian Networks.

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