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Machine Learning for User Modeling in an Interactive Genetic Algorithm for the Next Release Problem

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Search-Based Software Engineering (SSBSE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8636))

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The Next Release Problem consists in selecting which requirements will be implemented in the next software release. For many SBSE approaches to the NRP, there is still a lack of ability to efficiently include the human opinion and its peculiarities in the search process. Most of these difficulties are due to the problem of the human fatigue. Thus, it is proposed the use of a machine learning technique to model the user and replace him in an Interactive Genetic Algorithm to the NRP. Intermediate results are able to show that an IGA can succesfully incorporate the user preferences in the final solution.

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Araújo, A.A., Paixão, M. (2014). Machine Learning for User Modeling in an Interactive Genetic Algorithm for the Next Release Problem. In: Le Goues, C., Yoo, S. (eds) Search-Based Software Engineering. SSBSE 2014. Lecture Notes in Computer Science, vol 8636. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09939-2

  • Online ISBN: 978-3-319-09940-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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