5 research outputs found
The REVERE project:Experiments with the application of probabilistic NLP to systems engineering
Despite natural language’s well-documented shortcomings as a medium for precise technical description, its use in software-intensive systems engineering remains inescapable. This poses many problems for engineers who must derive problem understanding and synthesise precise solution descriptions from free text. This is true both for the largely unstructured textual descriptions from which system requirements are derived, and for more formal documents, such as standards, which impose requirements on system development processes. This paper describes experiments that we have carried out in the REVERE1 project to investigate the use of probabilistic natural language processing techniques to provide systems engineering support
AbstFinder, A Prototype Natural Language Text Abstraction Finder for Use in Requirements Elicitation
Innovations for Requirements Analysis, From Stakeholders' Needs to Formal Designs
14th MontereyWorkshop 2007
Monterey, CA, USA, September 10-13, 2007
Revised Selected PapersWe are pleased to present the proceedings of the 14thMontereyWorkshop, which
took place September 10–13, 2007 in Monterey, CA, USA. In this preface, we give
the reader an overview of what took place at the workshop and introduce the
contributions in this Lecture Notes in Computer Science volume. A complete
introduction to the theme of the workshop, as well as to the history of the
Monterey Workshop series, can be found in Luqi and Kordon’s “Advances in
Requirements Engineering: Bridging the Gap between Stakeholders’ Needs and
Formal Designs” in this volume. This paper also contains the case study that
many participants used as a problem to frame their analyses, and a summary of
the workshop’s results