A DECISION SUPPORT FRAMEWORK TO SELECT LIFECYCLE METHODOLOGIES FOR SOFTWARE PROJECT

Abstract

ABSTRACT

A large number of projects fail during their development phases due to inappropriate lifecycle selection. In order to provide, project manager and software developer, an effective framework for selection of best suitable lifecycle methodology for the project being developed; we proposed an effective framework for lifecycle selection.It is not feasible to start with a randomly chosen software development lifecycle methodology. Lifecycle selection depends on various characteristics of the project under consideration such as, complexity, risk involved and many more. A large number ofsuch project characteristics have been identified and assigned some weightage on the basis of their contribution in lifecycle selection. These metrics are the basis of our proposed framework and provides input to the framework. The framework is developed using two techniques.The first technique is static method,which is based on sum of weighted inputs. The second technique is based on neural network.Neural network tool available in Matlab is used to train the network.