Principles of Automated Software Analysis and Verification

In the modern development landscape, manual testing is no longer enough to ensure that complex software remains secure and bug-free. You need systematic, automated methods to verify that your code behaves exactly as intended under all conditions. This course provides a solid foundation in automated analysis, moving from basic testing concepts to advanced verification methods that prove your software meets its requirements. What you'll learn: - Understand the core concepts of automated test generation and formal verification. - Identify and prevent common software defects such as overflows, deadlocks, and race conditions. - Apply static analysis techniques to detect vulnerabilities and logic errors before code execution. - Explore property-based testing to validate software behavior across a vast range of inputs. - Learn the fundamentals of formal proofs to provide mathematical guarantees of program correctness. - Integrate automated analysis tools into modern development workflows to maintain high code quality. The curriculum begins with essential terminology and the logical frameworks used in software analysis. You will then progress through the theory and application of automated test execution, static analysis, and formal verification strategies. This course is designed for beginner developers and students who want to move beyond manual debugging; no prior experience with formal methods is required. Start building more reliable and secure software through the power of automated analysis.