Thesis Topic Details

Topic ID:
3561
Title:
Quantitative Risk Management Methods in Software and Systems Projects
Supervisor:
Paul Bannerman
Research Area:
Software Engineering, Risk Management
Associated Staff
Assessor:
David Ross Jeffery
Topic Details
Status:
Active
Type:
Research
Programs:
CS CE SE
Group Suitable:
No
Industrial:
No
Pre-requisites:
--
Description:
Thesis A comprises a literature review to develop an understanding of the type and range of quantitative analysis based risk management methods used in software and systems engineering projects and the boundaries of their effectiveness.

Thesis B comprises an empirical comparison of two methods, chosen from Thesis A, to illustrate and verify the findings of thesis A.
Comments:
Dr Paul Bannerman is a NICTA research scientist and conjoint UNSW/CSE research fellow. You will need to attend review meetings at the NICTA ATP laboratory near the Redfern train station (13 Garden Street, Eveleigh).

This topic may be of interest to students considering post-graduate research. It provides basic foundations in independently investigating a research topic.

Being research only, the topic is most suitable for students with a minimum average total WAM above 75.
Past Student Reports
 
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