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GLEN ACCARDO - HPTC Test Automation Lead, Schlumberger

IT'S NOT RANDOM. HOW TO DEAL WITH INTERMITTENT AUTOMATED TEST FAILURES

We've all been there: tests fail for no obvious reason. The team says that it is random or that it cannot be reproduced and the related bugs get closed with no fix. Over time, the failures continue, sometimes mutating and sometimes multiplying. While not prioritized by developers, these intermittent failures are often felt acutely while testing and will ultimately be painful for customers. These bugs are fixable if you take the correct approach.
These are the techniques I will demonstrate to overcome this problem:
- How to change the language used to report and discuss bugs.
- How to refocus the testing effort to tease out details of the failures
- How to apply visualization techniques to clearly demonstrate the impact of the issue and possible root causes.

GEORGE HAMBLEN - Sr QA Architect, Quality Consultant

SYNTHETIC TEST DATA

Test Data has become the most critical part of the testing process. Surveys have shown that up to 40% of a projects time is spent in test data related issues. Early on data was created for testing purposes. As systems become more complex, the data needed to keep referential integrity for end to end purposes. The industry shifted from creating data to taking production data and masking it for testing. Synthetic data was put on the shelf. Now breakthroughs in Synthetic data have solved the problem of keeping referential integrity. Synthetic data also has the advantage of not touching production data, which helps secure your customers privacy. It’s time to give synthetic data another look. In this talk, I’ll cover the history of test data, highlight the advantages of a strong test data management process and how synthetic data is changing the testing game.

ANAND SAHU - VP, QA Business Development and Customer Success, Cigniti Technologies, Inc

SYNTHETIC TEST DATA

Test Data has become the most critical part of the testing process. Surveys have shown that up to 40% of a projects time is spent in test data related issues. Early on data was created for testing purposes. As systems become more complex, the data needed to keep referential integrity for end to end purposes. The industry shifted from creating data to taking production data and masking it for testing. Synthetic data was put on the shelf. Now breakthroughs in Synthetic data have solved the problem of keeping referential integrity. Synthetic data also has the advantage of not touching production data, which helps secure your customers privacy. It’s time to give synthetic data another look. In this talk, I’ll cover the history of test data, highlight the advantages of a strong test data management process and how synthetic data is changing the testing game.

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