• Corpus ID: 233443798

Machine Learning Techniques for Software Quality Assurance: A Survey

@article{Omri2021MachineLT,
  title={Machine Learning Techniques for Software Quality Assurance: A Survey},
  author={Safa Omri and Carsten Sinz},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.14056}
}
Over the last years, machine learning techniques have been applied to more and more application domains, including software engineering and, especially, software quality assurance. Important application domains have been, e.g., software defect prediction or test case selection and prioritization. The ability to predict which components in a large software system are most likely to contain the largest numbers of faults in the next release helps to better manage projects, including early… 

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