• DocumentCode
    3577944
  • Title

    iRE: A semantic network based interactive requirements engineering framework

  • Author

    Ahmed, Kushal ; Lian Wen ; Sattar, Abdul

  • Author_Institution
    Inst. for Integrated & Intell. Syst., Griffith Univ., Nathan, QLD, Australia
  • fYear
    2014
  • Firstpage
    171
  • Lastpage
    177
  • Abstract
    Requirements engineering (RE) involves processing informal natural language descriptions of system requirements into an integrated and structured formal specification. The traditional RE process is ad-hoc, laborious, time-consuming, and error-prone manual process. For large-scale software intensive systems, the RE process becomes very difficult to manage. It is further complicated by ill-defined, incomplete, and redundantly specified requirements. To streamline the process, an end-to-end seamless RE framework is therefore needed. In this paper, we present an overview of an end-to-end semi-automated change-tolerant interactive requirements engineering (iRE) framework. It keeps and maintains the meta-level information of the interrelated requirements models into a semantic network model (SNM), and provides a method and processing system to derive an integrated and structured model. The iRE involves the requirements analysts in an interactive fashion during the modeling process.
  • Keywords
    formal specification; semantic networks; SNM; formal specification; iRE framework; informal natural language description processing; large-scale software intensive systems; meta-level information; semantic network model; semiautomated change-tolerant interactive requirements engineering framework; Analytical models; Detectors; Natural languages; Presses; Semantics; Synthetic aperture sonar; Unified modeling language; Behavior Engineering; Behavior Trees; Change Management; Defects Detection; Model Integration; Requirements Engineering; Semantic Network Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Systems (WCCS), 2014 Second World Conference on
  • Print_ISBN
    978-1-4799-4648-8
  • Type

    conf

  • DOI
    10.1109/ICoCS.2014.7060963
  • Filename
    7060963