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.
Additional source review: awaiting review. Published wording is shown below.
Saved requirements encoded for automatic checks. These are prototype interpretations, not ANU decisions or degree-completion checks.
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.
Referenced entries (2)
Links and code mentions retain their original context above. They may describe options, prerequisites or exclusions.
- COMP6800 · 2027
- COMP4130 · 2027 · saved source not linked
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.
Published offerings
Future offerings are indicative. Only recognised 2027 sessions with a published class number are offered in the enrolment demo.
| Year | Session | Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|---|---|
| 2027 | First Semester | 5094 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |
| 2028 | First Semester | 6499 | 21 Feb 2028 | 28 Feb 2028 | 31 Mar 2028 | 26 May 2028 | In Person | N/A |
Complete offering text
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage. The list of offerings for future years is indicative only. Class summaries, if available, can be accessed by clicking on the View link for the relevant class number. 2027 2028 First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 5094 22 Feb 2027 01 Mar 2027 31 Mar 2027 28 May 2027 In Person N/A First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 6499 21 Feb 2028 28 Feb 2028 31 Mar 2028 26 May 2028 In Person N/A
Source evidence (1 saved copy)
Matching copies share this record. Their original file locations and checksums are retained.
assets/Courses/Cyber Security/8000/Managing Software Quality and Process/Managing Software Quality and Process - ANU.html
Published ANU page · saved page URL
SHA-256: 74ce91c3e07455b214889cc9c2c054bbda408b61d13a8ca1cce8700621038dfe