COMP8131
Managing Software Quality and Process
- Credit
- 6 units
- Catalogue year
- 2027
- Recorded offerings
- First Semester
Course information
This course introduces students to advanced topics on managing the quality of products delivered as part of a software development project and managing the development process itself through static and dynamic software analysis techniques. Several causal aspects of poor software quality will be introduced and discussed so that students can understand the context for undertaking risk management and avoiding bad quality. There will be a focus on practical techniques for identifying and removing defects, as well as implementing procedures to track the success or failure of risk and defect resolutions. Several automatic software quality analysis techniques, including static program analysis and fuzzing techniques, will also be covered. These techniques are useful for improving the reliability, security, and performance of software and are becoming increasingly impactful in industries today. The course will introduce various well-known static program analysis frameworks such as Soot and dynamic testing techniques like symbolic execution. Practical implementations will also be covered, including live variable analysis, constant propagation, dead code detection, call graph construction, pointer analysis, taint analysis, and symbolic execution.
Requisite and Incompatibility
To enrol in this course you must be enrolled in the Masters of Computing Advanced (VCOMP) and have successfully completed COMP6800 Cyber Security Foundations. Incompatible with COMP4130.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Explore and understand the notion of software quality measurement techniques, and analyzing product and process quality.
Analyze and identify software vulnerabilities for a small to medium-sized software system.
Analyze and report code quality issues using modern code review practices with tools and measures.
Evaluate test strategies and plans for real-world software projects, using ISTQB (International Software Testing Qualifications Board) knowledge to justify decisions on resource allocation, risk management, and selection of testing techniques.
Explore how to use automatic testing techniques to detect vulnerabilities in software.
Assess and apply practical static and dynamic techniques for fundamental program analyses.
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