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Software Reliability

We have the hard facts from 150+ real software projects


The IEEE 1633 Recommended Practices for Software Reliability, chaired by Ann Marie Neufelder, was recently approved by the IEEE.

Software Reliability Toolkit will be presented April 25th-26th and Integrating Software and Hardware Predictions will be presented on April 27th in HIlton Head, SC. 

Software Failure Modes Effects Analysis training will be presented on May 9th and 10th in Orlando, Florida.

System Reliability Analysis Module is now available to integrate your software reliability predictions into a system RBD and system Fault Tree.

Download an overview of software reliability.

Use industry recognized software reliability assessment survey to predict defects and defect density for your project.  Mathematically identify:

  • Benchmark 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

That assessment is then used predict warranty staffing, 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 root cause/failure mode pairs 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.