Enroll Course: https://www.coursera.org/learn/automated-analysis
If you’re interested in the cutting-edge techniques used in automated software analysis, the Coursera course ‘Introduction to Automated Analysis’ is an excellent choice. This course provides a thorough overview of how automation can be leveraged to verify that software meets specified requirements and is free from common defects such as divide-by-zero errors, buffer overflows, deadlocks, and race conditions. The course is structured into four detailed modules, each focusing on essential aspects of automated analysis.
The first module introduces foundational concepts and emphasizes the importance of specifying properties of interest along with environmental assumptions. It includes practical exercises using effective tools to reinforce learning. The second module dives into automated test generation, showcasing methods to create large volumes of useful test cases guided by system properties. The third module covers static analysis, explaining how various techniques are employed to analyze code without executing it, along with real-world examples. Finally, the course explores effective automated verification techniques used for regression testing, security vulnerability detection, and runtime monitoring.
I highly recommend this course for software developers, testers, quality assurance engineers, and security analysts seeking to deepen their understanding of automated analysis. The combination of theoretical insights and practical applications makes it a valuable resource for improving software reliability and security. Whether you’re new to automated analysis or looking to enhance your skills, this course offers comprehensive content taught by experts in the field.
Enroll Course: https://www.coursera.org/learn/automated-analysis