Abstract is missing.
- Pragmatic ambiguity detection in natural language requirementsAlessio Ferrari, Giuseppe Lipari, Stefania Gnesi, Giorgio Oronzo Spagnolo. 1-8 [doi]
- Weka meets TraceLab: Toward convenient classification: Machine learning for requirements engineering problems: A position paperJane Huffman Hayes, Wenbin Li, Mona Rahimi. 9-12 [doi]
- Transferring research into the real world: How to improve RE with AI in the automotive industrySven J. Körner, Mathias Landhäußer, Walter F. Tichy. 13-18 [doi]
- Customizable rule-based verification of requirements ontologyDang Viet Dzung, Atsushi Ohnishi. 19-26 [doi]
- Content-based recommendation techniques for requirements engineeringGerald Ninaus, Florian Reinfrank, Martin Stettinger, Alexander Felfernig. 27-34 [doi]
- On requirements representation and reasoning using answer set programmingJulian Padget, Emad Eldeen Elakehal, Ken Satoh, Fuyuki Ishikawa. 35-42 [doi]
- A case study of applying data mining to sensor data for contextual requirements analysisAngela Rook, Alessia Knauss, Daniela Damian, Alex Thomo. 43-50 [doi]
- Using AI to model quality attribute tradeoffsNeil A. Ernst, Ian Gorton. 51-52 [doi]
- Applying knowledge representation and reasoning to (simple) goal modelsAlexander Borgida, Jennifer Horkoff, John Mylopoulos. 53-59 [doi]