Validation of Inspection Reviews over Variable Features Set Threshold

@article{Singh2017ValidationOI,
  title={Validation of Inspection Reviews over Variable Features Set Threshold},
  author={Maninder Singh and Gursimran Singh Walia and Anurag Goswami},
  journal={2017 International Conference on Machine Learning and Data Science (MLDS)},
  year={2017},
  pages={128-135}
}
Background: Mining software requirement reviews involve natural language processing (NLP) to efficiently validate a true-fault as useful and false-positive as non-useful. Aim: The aim of this paper is to evaluate our proposed mining approach to automate the validation of requirement reviews generated during an inspection of NL requirements document. Method: Our approach utilized two training models; one from requirement reviews and other from online movies. We conducted an empirical study to… Expand
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