DocumentCode
3260451
Title
A blackboard model to design integrated intelligent software maintenance environment
Author
Avellis, Giovanna ; Borzacchini, Luigi
Author_Institution
Adv. Software Technol., Tecnopolis CSATA Novus Ortus, Valenzano, Italy
fYear
1992
fDate
15-20 Jun 1992
Firstpage
325
Lastpage
332
Abstract
Intelligent software systems have been proposed to address the problem of integration in the next generation of software engineering environments (SEEs). This paper addresses the organizational principles of an integrated architecture, the Software Maintenance Expert System (SMES), using a model drawn from artificial intelligence techniques. In the software maintenance process, the interdependence of abstraction recovery tools and application domain components plays a key role in the representation of the user´s mental model of the system under maintenance. To support the reverse engineering process and hence the change process, the integration between procedural and declarative maintenance knowledge is needed. The authors advocate the use of a blackboard model to address this issue
Keywords
blackboard architecture; intelligent design assistants; programming environments; software maintenance; Software Maintenance Expert System; abstraction recovery tools; application domain components; artificial intelligence; blackboard model; change process; declarative maintenance knowledge; integrated architecture; intelligent software systems; organizational principles; procedural maintenance knowledge; reverse engineering process; software engineering environments; user´s mental model; Application software; Artificial intelligence; Computer architecture; Expert systems; Intelligent systems; Samarium; Software design; Software engineering; Software maintenance; Software systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Knowledge Engineering, 1992. Proceedings., Fourth International Conference on
Conference_Location
Capri
Print_ISBN
0-8186-2830-8
Type
conf
DOI
10.1109/SEKE.1992.227972
Filename
227972
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