Title :
Validating Software Reliability Early through Statistical Model Checking
Author :
Kim, Youngjoo ; Choi, Okjoo ; Kim, Moonzoo ; Baik, Jongmoon ; Kim, Tai-Hyo
Author_Institution :
S-Core
Abstract :
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.
Keywords :
Mathematical model; Probability; Safety; Software reliability; Statistical analysis; Validation; safety engineering; safety-critical software; software reliability validation; statistical model checking;
Journal_Title :
Software, IEEE