We have the cold hard facts corresponding to
successful, mediocre and failed software projects. Thatís because we
have real data
from 100+ real completed software projects including:
This real data has allowed
us to develop a method to predict software reliability before the code is even
written. Find out all about it on July 16
||Use a survey to predict defect density and
percentile group for your project. It is a prerequisite for
the sensitivity analysis and the predictions.
- Gaps and strengths that contribute the most to defects.
- Practices to embrace when improving software reliability
- Practices to avoid when improving software reliability
- Some popular practices aren't as sensitive as you think.
||You can predict failure rate, MTTF, MTTCF, MTBEFF, MTBSA, MTBI,
availability and reliability before the code is even written.
Effects Analysis and Fault
||We have identified more than 300 software root cause/failure mode
pairs and the life cycle phase in which each is most visible. Often
times the actual failure modes are quite different than what the
software engineers think. This analysis is essential for targeting the
defects that matter the most. Find out
all about it on July 18.
Copyright, SoftRel, LLC 2011. The pages from this
website may not be
copied in part or in whole without written permission from
Ann Marie Neufelder