Lectures related to Data-driven testing

Covers mini-test guidelines and the concept of moment of inertia for various shapes, including practical demonstrations on gyroscopic forces.

Explores the history of computing, automated testing, TDD, test coverage, bug reports, and debugging.

Explores testing methodologies, risk management, and the Flight Readiness Review process in systems engineering.

Covers the design, implementation, and formal verification of distributed systems, focusing on verifiable distributed systems and organizations.

Explores the use of sanitizers in software security testing to detect bugs early and improve testing effectiveness.

Explores advanced software testing techniques, including property-based testing, to ensure code correctness and improve software quality.

Explores fuzzing, bug oracles, code reviews, and automated testing techniques, emphasizing the importance of sanitization in detecting faults.

Covers dimensionality reduction and linear regression in data-driven materials modeling.

Emphasizes the importance of separating training and testing data for machine learning models.

Covers testing, TDD, coverage, debugging, naming conventions, comments, and solutions for coding issues.

Explores automated testing strategies, including code coverage and various testing techniques, to ensure reliable software development.

Explores managing defects, testing strategies, and challenges in software quality, with real-world examples and case studies.

Explores advanced software testing techniques, including property-based testing and various forms of fuzzing, to effectively test complex systems.

Explores software quality, defect management, testing importance, and real-world examples of bug impacts.