This course is best suited for software engineering students and professionals who wish to develop expertise in systematic testing methodologies and quality assurance practices to ensure reliable software systems.
This course will offer you an opportunity to learn fundamental testing concepts required to understand and apply comprehensive software testing strategies. The concepts in this course will prepare you to work with modern coverage criteria, apply graph-based and logic-based testing techniques, and implement automated test generation methods. Throughout this course experience, you will learn about the conceptual and practical applications of input space partitioning, syntax-based testing, mutation analysis, and test adequacy measurement.
Throughout your time in this course, you will be given opportunities to check your understanding of course material, as well as engage in quizzes to reflect on all the testing concepts you have explored within each module. By the end of this software testing course, you will have a foundational understanding of how to design, implement, and evaluate comprehensive test suites for complex software systems.
Some points apply to every course of this kind; see how we rank.
Northeastern University is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (74/100).
An introduction to cybersecurity for technical and non-technical audiences alike. Learn how to secure your accounts, data, systems, and software against today’s threats and how to recognize and evaluate tomorrow’s as well, both at home and at work. Learn how to preserve your own privacy. Learn to v…
Harvard University · edX
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University · edX
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Harvard University · edX
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
