CAESAR: a system for case based software reuse

Author

Fouque, Gilles ; Matwin, Stan

Author_Institution

Dept. of Comput. Sci., Ottawa Univ., Ont., Canada

fYear

1992

fDate

20-23 Sep 1992

Firstpage

90

Lastpage

99

Abstract

The authors show how the compositional software reuse approach can be fruitfully cast in the case-based reasoning (CBR) paradigm. Any CBR system in which the cases are software artifacts must rely on software-specific concepts to provide adequate knowledge representation. However, the fact that these software artifacts can be executed on a computer should yield stronger results than could be expected from generic CBR. The CAESAR system relies on advanced data flow analysis concepts for its representation of knowledge about software modules. Cases and their fragments are retrieved and adapted to solve new problems. The new cases which result are executed on system-generated test sets to evaluate the results of CBR

Keywords

case-based reasoning; knowledge representation; software reusability; CAESAR system; CBR system; advanced data flow analysis concepts; case-based reasoning; compositional software reuse approach; knowledge representation; software artifacts; software-specific concepts; system-generated test sets; Computer aided software engineering; Computer science; Humans; Indexing; Knowledge representation; Machine learning; Software engineering; Software libraries; Software systems; Software tools;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Software Engineering Conference, 1992., Proceedings of the Seventh

Conference_Location

Mclean, VA

ISSN

1068-3062

Print_ISBN

0-8186-2880-4

Type

conf

DOI

10.1109/KBSE.1992.252905

Filename

252905