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Information Reuse and Integration in Academia and Industry pp 201–220Cite as

Multiple Criteria Decision Support for Software Reuse: An Industrial Case Study

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Abstract

In practice, many factors must be considered and balanced when making software reuse decisions. However, few empirical studies exist that leverage practical techniques to support decision-making in software reuse. This paper reports a case study that applied SMART (Simple Multi-Attribute Rating Technique) to a company that considered reuse as an option of re-engineering its web site. The company’s reuse goal was set to maximize benefits and to minimize costs. We applied SMART in two iterations for the company’s software reuse project. The main difference is that the first iteration used the COCOMO (COnstructive COst MOdel) to quantify the cost in the beginning of the software project. In the second iteration, we refined the cost estimation by using the COCOMO II model. This combined approach illustrates the importance of updating and refining the decision support for software reuse. The company was informed the optimal reuse percentage for the project, which was reusing 76–100 % of the existing artifacts and knowledge. Our study not only shows that SMART is a valuable and practical technique that can be readily incorporated into an organization’s software reuse program, but also offers concrete insights into applying SMART in an industrial setting.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Mississippi State University, Starkville, MS, 39762, USA

    Alejandra Yepez Lopez & Nan Niu

Authors
  1. Alejandra Yepez Lopez
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  2. Nan Niu
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Correspondence to Alejandra Yepez Lopez .

Editor information

Editors and Affiliations

  1. TOBB University Department of Computer Engineering, Sogutozu Ankara, Turkey

    Tansel Özyer

  2. Department of Electrical Engineering Thompson Engineering, University of West Ontario, London, Ontario, Canada

    Keivan Kianmehr

  3. Tobb Etü Economics and Technology Univer, Ankara, Ankara, Turkey

    Mehmet Tan

  4. Baylor College of Medicine, Houston, Texas, USA

    Jia Zeng

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© 2013 Springer-Verlag Wien

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Lopez, A.Y., Niu, N. (2013). Multiple Criteria Decision Support for Software Reuse: An Industrial Case Study. In: Özyer, T., Kianmehr, K., Tan, M., Zeng, J. (eds) Information Reuse and Integration in Academia and Industry. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1538-1_10

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  • DOI: https://doi.org/10.1007/978-3-7091-1538-1_10

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  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1537-4

  • Online ISBN: 978-3-7091-1538-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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