2014 IEEE 22nd International Requirements Engineering Conference (RE) 2014
DOI: 10.1109/re.2014.6912279
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VARED: Verification and analysis of requirements and early designs

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Cited by 14 publications
(8 citation statements)
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“…Filling the gap between natural language and formal methods is our goal in this paper. In this perspective, a trade-off must be found between, on the one hand, possibly difficult to master, strongly constrained requirements [17], and on the other hand, natural language requirements, that must be transformed into formal languages [2] and may lose the intended meaning in the process [8]. Fill-in templates facilitate clearer specification of event-driven, statedriven system behaviors.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Filling the gap between natural language and formal methods is our goal in this paper. In this perspective, a trade-off must be found between, on the one hand, possibly difficult to master, strongly constrained requirements [17], and on the other hand, natural language requirements, that must be transformed into formal languages [2] and may lose the intended meaning in the process [8]. Fill-in templates facilitate clearer specification of event-driven, statedriven system behaviors.…”
Section: Related Workmentioning
confidence: 99%
“…This process algebra has been implemented in the model-based symbolic execution tool DIVERSITY [10]. Comparatively to other PA available tools 2 , we support real-time behavior modeling. Likewise, we go a step further by considering real-time aspects compared to related works on formalizing requirement using PA until recently [6,1,14].…”
Section: Introductionmentioning
confidence: 99%
“…At NASA in particular, extracting specifications needed for any formal analysis is a huge challenge [4,5,16,37,55,56]. Some critical systems are designed without ever having what this community would consider to be a formal set of requirements.…”
Section: Specification Originsmentioning
confidence: 99%
“…Notable tools include ARSENAL [20] and VARED [5]. NLP is highly inputdependent: it is difficult to handle unstated assumptions, implied/arbitrary functions, slang, mixed abstraction levels, and other inconsistencies.…”
Section: Natural Language Processing (Nlp)mentioning
confidence: 99%
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