The IEEE 1633 Recommended Practices for Software Reliability 2016, chaired by Ann Marie Neufelder, was published on January 18, 2017.
System Reliability Analysis Module is now available to integrate your software reliability predictions into a system RBD and system Fault Tree.
Use industry recognized software reliability assessment survey to predict software defects and software defect density for your project. Identify:
- Benchmark defect density against other software organizations in the same industry or product type
- Practices to embrace and avoid when improving software reliability
- Practices that don't provide Return On Investment (ROI) with regards to software defect reduction
The software reliability assessment is then used predict warranty staffing, software test staffing, optimal spacing between software releases to avoid defect pileup, software failure rate, software MTBF, software MTTCF, software MTBEFF, software MTBSA, software MTBI, software availability and software reliability before the code is even written.
We have identified more than 400 software failure modes /root causes and the life cycle phase in which each is most visible. Often times the actual software failure modes are quite different than what the software engineers think. Software failure modes effects analysis is essential for targeting the software defects that effect the system the most.