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Applications of data mining in software engineering

Author

Listed:
  • Quinn Taylor
  • Christophe Giraud-Carrier
  • Charles D. Knutson

Abstract

Software engineering processes are complex, and the related activities often produce a large number and variety of artefacts, making them well-suited to data mining. Recent years have seen an increase in the use of data mining techniques on such artefacts with the goal of analysing and improving software processes for a given organisation or project. After a brief survey of current uses, we offer insight into how data mining can make a significant contribution to the success of current software engineering efforts.

Suggested Citation

  • Quinn Taylor & Christophe Giraud-Carrier & Charles D. Knutson, 2010. "Applications of data mining in software engineering," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 2(3), pages 243-257.
    • Handle: RePEc:ids:injdan:v:2:y:2010:i:3:p:243-257
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    Citations

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    Cited by:

    1. Jasleen Kaur & Khushdeep Dharni, 2022. "Application and performance of data mining techniques in stock market: A review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 219-241, October.
    2. Amirali Saeedi & Toni L. Doolen, 2012. "A computer-assisted qualitative data analysis framework for the engineering management domain," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 4(1), pages 1-20.

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