期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：13
页码：2214-2226
出版社：Journal of Theoretical and Applied
摘要：Ultra Large Scales Systems (ULS) or Ecosystems are growing dramatically alongside their interactions and dependencies among other system components, change management needs new tactics. As consider one change or more in ULS requirements may result in a lot of side effects in other running or planned requirements that could be called “Ripple Effect”. Different ULS elements are affected in this type of environments varying from RE workers, Change Requesters and Involved parties those can be called ‘Crowed Sourcing” contributors in ULS environment. To challenge such problems, in this paper, we suggest a new methodology for requirements change evolution to able to measure the impact of several changes on ULS requirements which are represented by a Natural Language utilizing Similarity models. This paper reports on initial results of such an empirical study of Requirements change that led to ripple effects across an entire ULS environment, our case study around one of ecosystems for ERP with around 4480 stored requirement statements and closed to around 22 connected subsystems. We have used Natural Language Processing (NLP) and Similarity Models to support the model .
