About This Course
This course covers the theory and practice of software analysis, which lies at the heart of many software development processes such as diagnosing bugs, testing, debugging, and more. It presents diverse techniques, each with their own strengths and limitations, for automating tasks such as testing, debugging, and finding bugs in complex real-world programs. These techniques include dataflow analysis, constraint-based analysis, type systems, model checking, symbolic execution, and more. The course teaches the principles underlying these techniques as well as imparts hands-on experience with using and implementing tools based on these techniques.
Why Take This?
Take this course if you need to learn how to test complex, large-scale programs using state of the art testing paradigms.
Prerequisites and Requirements
To be prepared for this course, you should be very comfortable with: * Mathematical and logical reasoning (e.g. basics of set theory, graph theory, boolean algebra, and probability) * Programming in a high-level language like Java * Shell scripting on Linux-like operating systems
This course covers the theory and practice of software analysis, which is at the heart of software development processes such as diagnosing bugs, testing, and debugging.