Title :
Test-execution-based reliability measurement and modeling for large commercial software
Author :
Tian, Jeff ; Lu, Peng ; Palma, Joe
Author_Institution :
IBM Software Solutions Toronto Lab., New York, Ont., Canada
fDate :
5/1/1995 12:00:00 AM
Abstract :
The paper studies practical reliability measurement and modeling for large commercial software systems based on test execution data collected during system testing. The application environment and the goals of reliability assessment were analyzed to identify appropriate measurement data. Various reliability growth models were used on failure data normalized by test case executions to track testing progress and provide reliability assessment. Practical problems in data collection, reliability measurement and modeling, and modeling result analysis were also examined. The results demonstrated the feasibility of reliability measurement in a large commercial software development environment and provided a practical comparison of various reliability measurements and models under such an environment
Keywords :
software reliability; system monitoring; testing; application environment; data collection; large commercial software; large commercial software development environment; measurement data; modeling; normalised failure data; reliability assessment; reliability growth models; system testing; test execution data; test-execution-based reliability measurement; testing progress tracking; Application software; Helium; Programming; Relational databases; Software measurement; Software reliability; Software systems; Software testing; System testing; Time measurement;
Journal_Title :
Software Engineering, IEEE Transactions on