DocumentCode :
286177
Title :
Application domain knowledge acquisition and use in requirements engineering for computerized systems
Author :
Macnee, C. ; Lambert, Simon ; Ringland, Gordon
Author_Institution :
Inf. Dept., SERC Rutherford Appleton Lab., Didcot, UK
fYear :
1993
fDate :
34066
Firstpage :
42522
Lastpage :
42525
Abstract :
F-cube (`From Fuzzy to Formal´) is an ESPRIT-funded project (No.6612) to create methods and tools to support requirements engineers in the acquisition, analysis, validation, specification, and prototyping of requirements for computerized systems. It is intended that tools under the general umbrella of enterprise and environment modelling be part of the tool-kit. The authors have carried out knowledge acquisition with requirements engineers and end-users at the sites of the user partners in the project consortium to model the user (the requirements engineer) and user-tasks. The results of the task-analysis emphasize the importance of acquisition and use by the requirements engineer of a critical minimum subset of application domain knowledge. The authors intend to construct a knowledge-based tool to support the requirements engineer in carrying out early requirements capture, analysis, and validation (ERCAV)-the process of converting a set of requirements, obtained from requirement holder(s) and end-users or their representatives, which may be inexact, incomplete, contradictory, ambiguous, inconcise, and badly structured, into a requirements specification which can form a useful basis for the cost-effective design and construction of a system, comprising software and hardware, which adequately satisfies the needs of the requirement holder(s) and end-users. The tool will prompt the requirements engineer to acquire and input application domain knowledge and will use it to reason over an appropriate representation of the requirements, to assist the requirements engineer in detecting problems and resolving them
Keywords :
formal specification; knowledge acquisition; knowledge based systems; systems analysis; ERCAV; ESPRIT-funded project; F-cube; From Fuzzy to Formal; application domain knowledge; computerized systems; cost-effective design; early requirements capture; end-users; environment modelling; knowledge acquisition; knowledge-based tool; project consortium; requirements engineers; requirements specification; task-analysis; user partners; user-tasks;
fLanguage :
English
Publisher :
iet
Conference_Titel :
AI (Artificial Intelligence) in Enterprise Modelling, IEE Colloquium on (Digest No.078)
Conference_Location :
London
Type :
conf
Filename :
241268
Link To Document :
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