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Software Component Retrieval Using Rough Sets

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Software Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 731))

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Abstract

Software reusability is one of the important mechanisms needed to maintain its quality and productivity. Even though the candidate components are available in the repository to be reused, software engineers prefer to develop the system from scratch. There exists fear of reuse because the developers are not sure whether candidate component will work. In this paper, first the focus is on retrieving the desired components based on rule generation using rough sets. If the component is not found, then it can be developed and stored in repository. Secondly, uncertainty in identifying the desired component is addressed and an approach to model such uncertainty is proposed. Rough set exploration system (RSES) tool is used to simulate the results on certain behaviors of banking domain.

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Author information

Authors and Affiliations

  1. School of Computer & Information Sciences, University of Hyderabad, Hyderabad, India

    Salman Abdul Moiz

Authors
  1. Salman Abdul Moiz
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Correspondence to Salman Abdul Moiz .

Editor information

Editors and Affiliations

  1. Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, Delhi, India

    M. N. Hoda

  2. Department of Computer Engineering, YMCAUST, Faridabad, Haryana, India

    Naresh Chauhan

  3. Department of Computer Science, University of Kashmir, Srinagar, Jammu and Kashmir, India

    S. M. K. Quadri

  4. Department of Information Technology and Systems, Indian Institute of Management Rohtak, Rohtak, Haryana, India

    Praveen Ranjan Srivastava

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Moiz, S.A. (2019). Software Component Retrieval Using Rough Sets. In: Hoda, M., Chauhan, N., Quadri, S., Srivastava, P. (eds) Software Engineering. Advances in Intelligent Systems and Computing, vol 731. Springer, Singapore. https://doi.org/10.1007/978-981-10-8848-3_34

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  • DOI: https://doi.org/10.1007/978-981-10-8848-3_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8847-6

  • Online ISBN: 978-981-10-8848-3

  • eBook Packages: EngineeringEngineering (R0)

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