Programming languages provide exception handling mechanisms to structure fault tolerant activities into software systems. However, the use of exceptions at this low level of abstraction can be error-prone and complex leading to new programming errors. In this paper, we present a model-driven framework to support the iterative development of reliable software systems. This framework is comprised of UML-based modeling notations and a transformation engine that supports the automated generation of exception management features for a software system. It leverages domain specific exception modeling languages, patterns, modeling tools and framework libraries. The feasibility of this approach is demonstrated through the development of a case study business application, known as Project Tracker

This paper describes research in applications of aspect-oriented programming (AOP) as captured in the AspectJ™ language. In particular, it compares object-oriented and aspect-oriented designs and implementations of role models.

Software engineers today should be knowledgeable in computer systems, which encompasses electronics hardware, software, and networking. Because computer systems engineering is a very broad and rapidly changing discipline, there is a need to have a unified methodology for both students and practitioners. Patterns, and pattern languages for software development have received considerable attention over the last few years, and this approach, based on work originally done in architecture and urban planning, supports methodology development, dissemination, and evolution. This paper discusses patterns and pattern languages of computer systems as unifying themes and underpinnings for undergraduate and postgraduate curricula. Most of a sample curriculum has been implemented within undergraduate and postgraduate degree programs in Computer Systems Engineering at the Royal Melbourne Institute of Technology in Australia. The sample curriculum is described here, along with preliminary feedback from students and lecturers. The net result is steps toward a methodology that allows students to learn to systematically develop computer software, electronics hardware, and networked systems.