Diagnosis and repair of software performance problems using assumptive truth maintenance

Author

Irgon, Adam E. ; Huleatt, Thomas O. ; Langion, Martha S.

Author_Institution

Bellcore, Piscataway, NJ, USA

fYear

1989

fDate

6-10 Mar 1989

Firstpage

165

Lastpage

171

Abstract

The FACS Advisor for System Tuning (FAST) is an expert system for tuning the performance of software associated with the Faculty Assignment and Control System (FACS). FACS is a very large transaction processing application consisting of close to one million lines of C source code and requiring a dedicated mainframe. FACS users expect fast response times and high system throughput, but the size and complexity of the application have turned FACS performance tuning into a formidable task. The FAST expert system encodes software-tuning expertise to assist production FACS sites in analyzing and improving the performance of their systems. The multiparadigm implementation of FAST includes frame-based knowledge representation with multiple inheritance, data-driven reasoning for diagnosis, and assumption-based reasoning for determining optimal performance tuning recommendations

Keywords

expert systems; knowledge representation; program diagnostics; software reliability; C source code; FACS Advisor for System Tuning; assumption-based reasoning; assumptive truth maintenance; data-driven reasoning; expert system; frame-based knowledge representation; multiple inheritance; software performance; transaction processing; tuning; Application software; Control systems; Delay; Diagnostic expert systems; Knowledge representation; Performance analysis; Production systems; Software performance; Software systems; Throughput;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence Applications, 1989. Proceedings., Fifth Conference on

Conference_Location

Miami, FL

Print_ISBN

0-8186-1902-3

Type

conf

DOI

10.1109/CAIA.1989.49150

Filename

49150