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A Timeline Optimization Approach of Green Requirement Engineering Framework for Efficient Categorized Natural Language Documents in Non-Functional Requirements

Author

Listed:
  • K. Mahalakshmi

    (KIT Kalaignarkarunanidhi Institute of Technology, Coimbatore)

  • Udayakumar Allimuthu

    (Anna University, Chennai, India)

  • L Jayakumar

    (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India)

  • Ankur Dumka

    (Women Insititute of Technology, India)

Abstract

The system's functional requirements (FR) and non-functional requirements (NFR) are derived from the software requirements specification (SRS). The requirement specification is challenging in classification process of FR and NFR requirements. To overcome these issues, the work contains various significant contributions towards SRS, such as green requirements engineering (GRE), to achieve the natural language processing, requirement specification, extraction, classification, requirement specification, feature selection, and testing the quality attributes improvement of NFRs. In addition to this, the test pad-based quality study to determine accuracy, quality, and condition providence to the classification of non-functional requirements (NFR) is also carried out. The resulted classification accuracy was implemented in the MATLAB R2014; the resulted graphical record shows the efficient non-functional requirements (NFR) classification with green requirements engineering (GRE) framework.

Suggested Citation

  • K. Mahalakshmi & Udayakumar Allimuthu & L Jayakumar & Ankur Dumka, 2021. "A Timeline Optimization Approach of Green Requirement Engineering Framework for Efficient Categorized Natural Language Documents in Non-Functional Requirements," International Journal of Business Analytics (IJBAN), IGI Global, vol. 8(1), pages 21-37, January.
    • Handle: RePEc:igg:jban00:v:8:y:2021:i:1:p:21-37
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