An Empirical Method for Selecting Software Reliability Growth Models

Estimating remaining defects or failures in software can help test managers make release decisions during testing. Several methods exist to estimate defect content, among them a variety of software reliability growth models SRGMs. Software reliability growth models have underlying assumptions that are often violated in practice, but empirical evidence has shown that many are quite robust despite these assumption violations. The problem is that, because of assumption violations, it is often di cult to know which models to apply in practice. We present an empirical method for selecting SRGMs to make release decisions. The method provides guidelines on how to select among the SRGMs to decide on the best model to use as failures are reported during the test phase. The method applies various SRGMs iteratively during system test. They are tted to weekly cumulative failure data and used to estimate the expected remaining number of failures in software after release. If the SRGMS pass propose...

• Type: Journal
• Year: 2002
• Where: ESE
• Authors: Catherine Stringfellow, Anneliese Amschler Andrews
• Keywords: Assumption Violations, Database, ESE 2002, Reliability Growth Models, Software Reliability Growth