Software Testing courses are a study of testing software wherein students learn to test a variety of software to make sure it meets the business or client's requirements. Software Testing basically encompasses regression, maintenance, functional testing, performance testing, etc.
This course will examine fundamental software testing and program analysis techniques. In particular, the important phases of testing will be reviewed, emphasizing the significance of each phase when testing different types of software. Students will get to learn the basic concepts of software testing, black-box testing techniques, how to implement test processes on a test management tool. Students will learn the state of the art in testing technology for object-oriented, component-based, concurrent, distributed, graphical-user interface, and web software.
In addition, closely related concepts such as mutation testing and program analysis will also be studied. Emerging concepts such as test-case prioritization and their impact on testing will be examined. Students will gain hands-on testing/analysis experience via a multi-phase course project.
By the end of this course, students should be familiar with the state-of-the-art in software testing. Students should also be aware of the major open research problems in testing. Skills like automation, test case design, test management, and defect tracking are crucial to ensure that the software being tested is error-free.
Want to Learn Chinese but don't know how? Let's get started!
Jobs/interviews, Comparative and superlative of adjectives, Be supposed to, Passive voice in the present tense
The essential course for understanding the Mechanics of Heat
The Ultimate Practical Guide to Strings in JavaScript, how they work, how to use them, and how they can help your work!
Dr. M. Aruna is an accomplished professional who demonstrates a deep passion for teaching. With over 18+ years of teaching experience, she has dedicated herself to fostering knowledge and growth in her students. Her commitment to education is reflected in her active involvement in various academic activities, including publishing articles, authoring book chapters, and participating in industry events. Dr. Aruna's passion for teaching goes beyond the classroom, contributing to her valuable impact in the fields of Computer Vision, Artificial Intelligence, Machine Learning, and IoT.
