Learn how to predict software defects
Before coding
Made for agile development
Traditionally, software teams wait until testing to uncover defects—often when it’s too late to prevent schedule slips or performance issues. In this training class learn how to predict software defects and their discovery rate before code is even written with our software prediction models. This “shift-left” approach to predict defect density enables teams to proactively manage release stability, performance, and safety.
Predict defects and when they will be discovered
- First, the risk of the software program is assessed by predicting a normalized measure of defects – defect density.
- Then the defect density is multiplied by an effective size that’s derived from the story points/people effort predicted for the version.
- Then the defect arrival times are forecasted based on the expected number of installed sites.
- Predict the technical debt and resources needed to keep up with it
- Predict the effort needed for warranty and staffing levels
"Predict software defects" class consists of two modules
Predict software risks early
VIRTUAL SELF GUIDED TRAINING-
VIRTUAL SELF - GUIDED
-
Learn about the world's largest benchmarking study of software defects
-
Learn which software development factors matter the most and which factors are highly overrated
-
Learn the sensitivity of each of the factors and how to objectively measure them
-
Learn how to improve the confidence of the risk assessment when thing are in flux or you don’t have all fo the information.
Predict software defects and when they will be discovered
VIRTUAL SELF GUIDED TRAINING-
VIRTUAL SELF - GUIDED
-
Recommended Prerequisite - predict software risks early
-
Predict the scope/size
-
Predict total testing and operational defects
-
Predict software defect discovery rate
-
Predict technical debt pile up
-
Predict warranty and staffing effort
Software test engineers
Predict defects in advance of testing and be better prepared.
Software management
Predict the escaped defects that will wreak havoc on the next program increment.
RAM engineers/ Site Reliability
These are the first 2 modules needed for predicting failure rates, MTBF, availability and reliability.
TERMS & CONDITIONS
As per the terms and conditions page of this website, software training classes are non-refundable.