End the Guessing Game - Regression Test Selection Methods
Developing your regression test suite does not have to be a guessing game. Impact analysis offers a detailed, code-based, regression test selection process to determine what areas of a software program need-and which do not need-to be re-tested. This approach produces big reductions in the amount of regression testing required. Brian Robinson discusses regression test selection principles, change determination, impact analysis of changes and tests, test selection or creation, and automation tools. When a bug escapes your regression tests, learn how to improve your process and prevent this type of bug from returning. Brian shares the results using regression test selection methods at ABB where they achieved an average of 40 percent savings in time and a 35 percent increase in defects detected.
Upcoming Events
Apr 27 |
STAREAST Software Testing Conference in Orlando & Online |
Jun 08 |
AI Con USA An Intelligence-Driven Future |
Sep 21 |
STARWEST Software Testing Conference in Anaheim & Online |