Following on from COMP 2831 - Business Analysis and Systems Design, this hands-on course introduces the concepts, tools and processes needed to be perform Quality Assurance (QA) and software testing. Students with some programming background are shown best practices and will focus on creating and executing test plans using test cases and test scripts. They will practice how to record and report results, as well as document identified issues. Exercises and labs will include using popular open source QA software testing and tracking tools. Topics include: Black Box, White Box and Grey Box testing techniques and all aspects of QA planning and execution. Automated testing topics include constructing a framework, scripting techniques, generating test data, test architecture, pre/post-processing, test maintenance, and job specific metrics. Successful participants will be able to understand effective software testing methods, create a Quality Assurance plan and a test plan as well as be able to monitor test processes, evaluate test results and conduct automated testing to industry standards.
- Not offered this term
- This course is not offered this term. Please check back next term or subscribe to receive notifications of future course offerings and other opportunities to learn more about this course and related programs.
Upon successful completion of this course, the student will be able to:
- Understand the role of Quality Assurance in the software development process.
- Identify the different types of testing: Black Box, White Box and Gray Box.
- Write test cases.
- Write test scripts.
- Create a test plan.
- Prepare and condition test data.
- Perform manual testing, using a manual testing tool.
- Perform automated testing, using an automated testing tool.
- Use an issue tracking tool to create and assign bug reports.
- Understand requirements traceability and create a traceability matrix.
- Demonstrate a working knowledge of Unit Testing.
Effective as of Fall 2014
Quality Assurance and Software Testing (COMP 3829) is offered as a part of the following programs:
School of Computing and Academic Studies
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