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  • 标题:KERNEL OPTIMIZATION FOR IMPROVED NON-FUNCTIONAL REQUIREMENTS CLASSIFICATION
  • 本地全文:下载
  • 作者:K. MAHALAKSHMI ; Dr. R.PRABHAKAR ; Dr. V. BALAKRISHNAN
  • 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:2014
  • 卷号:60
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Requirements Engineering (RE) refers to development of software-intensive systems. There are various kinds of software-intensive systems, and RE practice varies across this range. System requirements are descriptions of services provided by a system and its constraints. Functional requirements capture the system�s intended behavior which may be expressed as services, tasks or functions, a system needs to perform. Unlike Functional Requirements, Non-Functional Requirements (NFR) state constraints to the system as well as particular notions of qualities a system might have.NFR analysis is an important RE activity. This paper uses Support Vector Machine (SVM) for classification of NFR; Radial Basis Function kernel is optimized using Hybrid Artificial Bee Colony (ABC).The hybrid ABC incorporates differential evolution.
  • 关键词:Requirement Engineering (RE); Non-Functional Requirements (NFR); Support Vector Machine (SVM); Artificial Bee Colony (ABC); Differential Evolution
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