Title :
Reliability growth modelling of software for process control systems
Author :
Pasquini, Alberto
Author_Institution :
ENEA, Rome, Italy
Abstract :
Reliability growth models are the most widely known and used in practical applications. Nevertheless, the performances of these models limit their applicability to the control and assessment of the attainment of very low reliability levels. One of the reasons for their insufficient predictive quality is the scarcity of information they use for reliability estimation. They do not take into account information that could be easily collected from code observation, such as the code complexity, or during testing such as the coverage obtained. The paper analyzes the problems encountered using reliability growth models for the evaluation of software used in a measurement equipment control system
Keywords :
process control; software performance evaluation; software quality; software reliability; code complexity; code observation; measurement equipment control system; model performance; predictive quality; process control systems; program testing; reliability estimation; software evaluation; software reliability growth modelling; very low reliability levels; Application software; Control system synthesis; Fault detection; Information analysis; Predictive models; Process control; Shape; Software measurement; Software testing; System testing; Testing;
Conference_Titel :
Software Reliability Engineering, 1994. Proceedings., 5th International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-8186-6665-X
DOI :
10.1109/ISSRE.1994.341396
