Researchers at Arizona State University have invented a new approach to CT using adaptive reasoning and test algebra. Adaptive reasoning techniques are able to identify software faults more quickly than standard CT techniques. Once faults are identified, test algebra is used to eliminate related configurations of input parameters. Combining adaptive reasoning and test algebra techniques enables CPU-intensive CT applications which were previously infeasible due to size. This innovation is able to identify both faulty interactions between input parameters and software and faulty configurations of the input parameters themselves.
- Software-as-a-service (SaaS)
- Testing-as-a-service (TaaS)
- Cloud-based computing
Benefits and Advantages
- Scalability – Program can be adjusted to any number or combination of input parameters. Speed – CT process is sped up by eliminating duplicate tests of the same fault.
- Specificity – Find faulty configurations of input parameters and faulty interactions between input parameters and software.
For more information about the inventor(s) and their research, please see