Quantifying the Effectiveness of Testing Efforts on Software Fault Detection with a Logit Software Reliability Growth Model.
Hiroyuki OkamuraYusuke EtaniTadashi DohiPublished in: IWSM/Mensura (2011)
Keyphrases
- software reliability
- fault detection
- software testing
- growth model
- fault diagnosis
- industrial processes
- test cases
- bp neural network
- software development
- tennessee eastman
- prediction model
- wavelet neural network
- root mean square error
- fault identification
- fuel cell
- software systems
- software engineering
- quality assurance
- reinforcement learning