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Data Analyst
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Learn moreSoftware Analysis & Testing
Free Course
Offered at Georgia Tech as CS 6340
Estimated time
Approx. 16 Weeks
Skill level
Intermediate
Prerequisites
See prerequisites in detail
In collaboration with
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.
What you will learn
Testing
- Principles of random testing.
- Automatically generating tests.
Analysis
- Analyzing dataflows within a program.
- Analyzing pointers.
- Analyzing software based on constraints.
Debugging
- Basics of type systems.
- Statistical principles of debugging.
- Dynamic symbolic execution.
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
See the Technology Requirements for using Udacity.
Why take this course?
Take this course if you need to learn how to test complex, large-scale programs using state of the art testing paradigms.
Learn with the best.
Chris Pryby
Instructor
Mayur Naik
Instructor