A PSO-GA approach targeting fault-prone software modules

  title={A PSO-GA approach targeting fault-prone software modules},
  author={Rebecca Moussa and Danielle Azar},
  journal={Journal of Systems and Software},
We present an algorithm to classify software modules as fault-prone or not using object-oriented metrics. Our algorithm is a combination of particle swarm intelligence and genetic algorithms. We empirically validate it on eight different data sets. We also compare it to well known classification techniques. Results show that our algorithm has several advantages over other techniques. 


Publications referenced by this paper.
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A PSO-GA Approach Targeting Fault-Prone Software Modules, The Journal of Systems & Software (2017), doi: 10.1016/j.jss.2017.06.059 This is a PDF file of an unedited manuscript

  • Rebecca Moussa, Danielle Azar
  • 2017

An adaptive approach to optimize software component quality predictive models : Case of stability

  • Danielle Azar, Joseph Vybihal
  • New Technologies , Mobility and Security
  • 2007

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