Validating Software Reliability Early through Statistical Model Checking
Conventional software reliability assessment validates a system's reliability only at the end of development, resulting in costly defect correction. A proposed framework employs statistical model checking (SMC) to validate reliability at an early stage. SMC computes the probability that a targe...
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Veröffentlicht in: | IEEE software 2013-05, Vol.30 (3), p.35-41 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Conventional software reliability assessment validates a system's reliability only at the end of development, resulting in costly defect correction. A proposed framework employs statistical model checking (SMC) to validate reliability at an early stage. SMC computes the probability that a target system will satisfy functional-safety requirements. The framework compares the allocated reliability goal with the calculated reliability using the probabilities and relative weight values for the functional-safety requirements. Early validation can prevent the propagation of reliability allocation errors and design errors at later stages, thereby achieving safer, cheaper, and faster development of safety-critical systems. |
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ISSN: | 0740-7459 1937-4194 |
DOI: | 10.1109/MS.2013.24 |