Using Human Error Abstraction Method for Detecting and Classifying Requirements Errors: A Live Study.
Vaibhav K. AnuGursimran Singh WaliaGary L. BradshawWenhua HuJeffrey C. CarverPublished in: REFSQ Workshops (2017)
Keyphrases
- experimental study
- error rate
- preprocessing
- high accuracy
- error analysis
- similarity measure
- prediction error
- synthetic data
- dynamic programming
- experimental evaluation
- regression analysis
- cost function
- theoretical analysis
- prior knowledge
- high precision
- objective function
- classification method
- support vector machine svm
- simulation study
- study proposes
- relative error
- error accumulation
- cross validation
- segmentation method
- clustering method
- neural network
- probabilistic model
- significant improvement
- feature space
- computational complexity
- feature extraction