Generating Focused Random Tests for Large Software Systems is coming at 02/20/2017 - 4:00pm
GLFN AUD Mon, 02/20/2017 - 4:00pm Amin Alipour Oregon State University Abstract: The main goal of automated test generation is to improve the reliability of a program by exposing faults to developers. To this end, testing should cover the largest possible portion of the program given a test budget (i.e., time and resources) as frequently as possible. Coverage of a program entity in testing increases our confidence in the correctness of that entity. Generating various tests to cover a program entity is a particularly hard problem to solve for large software systems, because the test inputs are complex and they often exhibit sophisticated feature interactions. As a result, current test generation techniques, such as symbolic execution or search-based testing, do not scale well to complex, large-scale systems. In this talk, I present a technique to increase the frequency of coverage in less-covered parts of large software systems. I also present cause reduction to remove redundancies in test cases generated by automated test generation techniques. Bio: [node:field-speaker-bio:text] Read more: http://eecs.oregonstate.edu/colloquium/generating-focused-random-tests-l... [1] [1] http://eecs.oregonstate.edu/colloquium/generating-focused-random-tests-large-software-systems
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