DocumentCode :
3371091
Title :
An analysis of incremental assistant capabilities of a software evolution expert system
Author :
Avellis, G. ; Iacobbe, A. ; Palmisano, D. ; Semeraro, G. ; Tinelli, C.
Author_Institution :
Adv. Software Technol., Valenzano, Italy
fYear :
1991
fDate :
15-17 Oct 1991
Firstpage :
220
Lastpage :
227
Abstract :
The authors propose to do maintenance with the software system model (SSM) that provides the maintainer with a number of alternative views of the code. To make an understandable presentation of more information than the code contains, the expert system must offer information system capabilities, such as semantic retrieval and intelligent indexing. An analysis of the capabilities and the degrees of assistance of a software evolution expert system (SEES) is given in an incremental framework. The authors address SEES reasoning directed by knowledge in models of views, analyze SEES capabilities, and point out different degrees of assistance and models of views. Some tradeoffs in SEES development are discussed and evaluated. The analysis has led to five functional architectures. Each architecture assumes that one has one or more view models available. The authors describe the results of the first SEES prototype
Keywords :
expert systems; inference mechanisms; software maintenance; software tools; SEES capabilities; SEES reasoning; SSM; expert system; functional architectures; incremental assistant capabilities; incremental framework; information system capabilities; intelligent indexing; semantic retrieval; software evolution expert system; software system model; understandable presentation; Application software; Expert systems; Indexing; Information retrieval; Information systems; Research and development; Reverse engineering; Software maintenance; Software systems; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance, 1991., Proceedings. Conference on
Conference_Location :
Sorrento
Print_ISBN :
0-8186-2325-X
Type :
conf
DOI :
10.1109/ICSM.1991.160334
Filename :
160334
Link To Document :
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