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Elicitation of Testing Requirements from the Selected Set of Software’s Functional Requirements Using Fuzzy-Based Approach

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Computational Intelligence in Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 556))

Abstract

Software requirements elicitation is employed to find out different types of software requirements. In literature, we find out that goal-oriented requirements elicitation (GORE) techniques do not underpin the identification of testing requirements from the functional requirements (FR) in early phase of requirements engineering. Therefore, to tackle this research issue, we proposed an approach for the elicitation of the testing requirements from FR. In real-life applications, only those requirements are implemented which are selected by stakeholders; and tested by testers after implementation during different releases of software. So in the proposed method we used fuzzy-based technique for FR selection on the basis of nonfunctional requirements (NFR). Finally, an example is given to explain the proposed method.

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Author information

Authors and Affiliations

  1. Computer Engineering Section, UPFET, Jamia Millia Islamia (A Central University), New Delhi, 110025, India

    Mohd. Sadiq

  2. Department of Computer Science and Engineering, Al-Falah University (A NAAC- UGC ‘A’ Grade University), Dhauj, Faridabad, Haryana, India

    Neha

Authors
  1. Mohd. Sadiq
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  2. Neha
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Correspondence to Mohd. Sadiq .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering & Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. Department of CSE, National Institute of Technology (NIT), Rourkela, Odisha, India

    Durga Prasad Mohapatra

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Sadiq, M., Neha (2017). Elicitation of Testing Requirements from the Selected Set of Software’s Functional Requirements Using Fuzzy-Based Approach. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-10-3874-7_40

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  • DOI: https://doi.org/10.1007/978-981-10-3874-7_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3873-0

  • Online ISBN: 978-981-10-3874-7

  • eBook Packages: EngineeringEngineering (R0)

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