Research Paper
A NOVEL METHODOLOGY FOR SOFTWARE TEAMBUILDING USING ANNS
Author: HEMANT KUMAR CHAUDHARY*, ,
Letter No.V-34564,Reg.533/2007-2008 INDIAN JOURNAL OF RESEARCH(2012)6,70-76
ANVIKSHIKI ISSN 0973-9777 Advance Access publication 26 Apr. 2012
*M.Tech in C.S., Singhania University (Rajasthan) India.
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We already know the four P’s of the project management that are people, problem, process & project. The project manager has to know the properties of the people in order to manage their people wisely. Software teambuilding involves formation of project team from the available human resources depending upon the kind of candidate project & the skill sets of the people. For automating this decision process we present a hypothetical example using incremental Perceptron Supervised Learning Algorithm and another approach using Decision Tree Learning methodology.An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous system, such as the brain, process information. ANNs like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process.In this paper we present a novel methodology for software teambuilding using ANNs 1. Decision Tree Learning can also be used on the similar grounds for the learning tasks. We also present software team formation for software project management using Decision Tree Learning approach
