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Carol Oliver

Florida Institute of Technology

Carol Oliver is a doctoral student in the Center and leader of the HiVAT project. She has more than a decade of experience as a tester, most recently as Lead QA Analyst supporting infrastructure technology services at Stanford University. For most of her career, Carol has been the lone tester supporting more than a dozen database-driven middleware and web applications, all of which needed to cooperate with each other and several different infrastructure services simultaneously. Carol is very interested in testing techniques that help examine complex question spaces more effectively and in how these techniques can be applied to maximize human attention to the holistic picture.

Speaker Presentations
Tuesday, April 30, 2013 - 1:00pm
Half-day Tutorials
How to Actually DO High-volume Automated Testing

In high volume automated testing (HiVAT), the test tool generates the test, runs it, evaluates the results, and alerts a human to suspicious results that need further investigation. What makes it simple is its oracle—run the program until it crashes or fails in some other extremely obvious way. More powerful HiVAT approaches are more sensitive to more types of errors. They are particularly useful for testing combinations of many variables and for hunting hard-to-replicate bugs that involve timing or corruption of memory or data. Cem Kaner presents a new strategy for teaching HiVAT testing.