Output details
11 - Computer Science and Informatics
University of Leicester
EA-Analyzer: automating conflict detection in a large set of textual aspect-oriented requirements
<09>This work (incepted as a collaboration between FTP 7 Diva project https://sites.google.com/site/divawebsite/ and a Marie Curie fellow) is the first to demonstrate viability of automated conflict identification in textual requirements in aspect-oriented requirements engineering context. By leveraging Bayesian analysis and probabilistic techniques, it demonstrates that a high degree of automation is achievable in what is still a human-lead, time and effort intensive activity. It could result in reduction of cognitive load on requirements engineers, notably improving their productivity. EA-Analyzer also presents a solution to the complexity analysis problem faced in our previous (highly cited) work on semantics-based composition in requirements.