Supporting commonality and variability analysis of requirements and structural models

Abstract

The commonality and variability analysis of legacy software assets requires high costs in terms of personnel and time in extractive core asset development. We propose a technique for supporting the commonality and variability analysis, targeting the requirements and structural models of legacy software assets for the development of a feature diagram and a product line architecture (PLA). We analyze the commonality and variability of the sentences as requirements and classes as structural models by calculating similarities based on a vector space model. By using our technique, the costs in terms of personnel and time required for the analysis of legacy software assets can be reduced.