COMPARITIVE ANALYSIS BETWEEN PROCESS BASED PARALLEL MODEL AND KNOWLEDGE BASED FRAMEWORK FOR SOFTWARE REQUIREMENT ENGINEERING

Abstract

The objective of this paper is to make a comparative analysis between process based parallel model and knowledge based framework for software requirement engineering. A process based parallel model is proposed during the inception phase of the inception phase of the software development. The bio-inspired approach is used in requirement engineering for the transformation of user requirements into system requirements. The key process activities like requirement analysis and requirements change management are considered as primary membranes in the model. The communication between primary membranes through corresponding reaction rules are derived to determine the design objects. In knowledge based framework, the software requirement specifications are treated as input data with their corresponding association in multiple contexts. All such requirement information is fed into an expert system in the domain layer out of which the first class entities are derived to arrive at a meta-modeling of the target services. The domain expert, meta-modeler and decision support modules are incorporated as knowledge based framework to arrive at an effective design.