Date of Award


Degree Type


Degree Name

Bachelor of Applied Sciences Honours


School of Computer Science


Faculty of Science, Technology and Engineering

First Advisor

Ken Mullin


The use and development of software is an integral and critical part of modern industrial society. The outcomes of many software development and maintenance projects have been less than satisfactory with significant numbers being over schedule, lacking in functionality and over budget. These problems are the result of poor management of both the process and the product. One of the major problems to overcome in the management of software development projects is the ability to predict the outcomes early in the project when there are a large number of unknowns. The ability to reliably predict the outcomes in a repeatable manner requires accurate estimating techniques that are theoretically sound, practical to use, relevant to the current situation and can cope with all the project variables. Whilst a number of estimating techniques have been developed they are poor in their predictive abilities, do not to take a total project approach and are not used by practitioners. This proposal is to define a model that will build on the strengths of the current estimating techniques, account for their weaknesses and provide a framework for the development of practical techniques that encompass all aspects of a software development project.