Validating Requirements Reviews by Introducing Fault-Type Level Granularity: A Machine Learning Approach

@article{Singh2018ValidatingRR,
  title={Validating Requirements Reviews by Introducing Fault-Type Level Granularity: A Machine Learning Approach},
  author={M. Singh and Vaibhav Anu and G. Walia and Anurag Goswami},
  journal={Proceedings of the 11th Innovations in Software Engineering Conference},
  year={2018}
}
Inspections are a proven approach for improving software requirements quality. Owing to the fact that inspectors report both faults and non-faults (i.e., false-positives) in their inspection reports, a major chunk of work falls on the person who is responsible for consolidating the reports received from multiple inspectors. We aim at automation of fault-consolidation step by using supervised machine learning algorithms that can effectively isolate faults from non-faults. Three different… Expand
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