Customer Responsive Risk-Managed Network Planning. The aim of this project is to reduce the cost of network delivery of electricity though a reduced network build. The cost of the network is balanced against the cost of reliability of supply. The key developments are optimisation of investment considering batteries etcetera, combined with customer load response and explicit inclusion of the uncertainties of load growth and in the response level of the customer loads. The project combines skills ....Customer Responsive Risk-Managed Network Planning. The aim of this project is to reduce the cost of network delivery of electricity though a reduced network build. The cost of the network is balanced against the cost of reliability of supply. The key developments are optimisation of investment considering batteries etcetera, combined with customer load response and explicit inclusion of the uncertainties of load growth and in the response level of the customer loads. The project combines skills of power engineering optimisation, software systems and social science. Most of the demand response programs globally have focused on a pure economic incentive for variation of customer load. This project aims to make use of recent findings on the benefits of combining community engagement with the incentives.Read moreRead less
Application of Knowledge-Based Engineering (KBE) Technology to Intelligent Design Engineering Systems. Knowledge Based Engineering (KBE) is a systematic approach to the integration of design and manufacturing of products and their related processes, from concept to disposal. Typical for KBE applications is that it accepts design rules and procedures. This makes the design process more efficient, which reduces development cost and product lead time. It also enables knowledge and experience to be ....Application of Knowledge-Based Engineering (KBE) Technology to Intelligent Design Engineering Systems. Knowledge Based Engineering (KBE) is a systematic approach to the integration of design and manufacturing of products and their related processes, from concept to disposal. Typical for KBE applications is that it accepts design rules and procedures. This makes the design process more efficient, which reduces development cost and product lead time. It also enables knowledge and experience to be captured and retained which reduces training cost and makes new staff more effective. The aim of the project is to develop a KBE environment for wire and conduit routing through complex structures and verify the benefits in an industry environment.Read moreRead less
Large-Scale Emulation for Enterprise Software Systems. This project will deliver a key future software technology for scalable quality assurance of highly interconnected enterprise IT systems, significantly contributing to more reliable and effective business operations in all industry sectors. It will fill a market gap and give Australian businesses a world competitive advantage. The project will generate world-leading research outcomes and further cement Australia’s leading research position i ....Large-Scale Emulation for Enterprise Software Systems. This project will deliver a key future software technology for scalable quality assurance of highly interconnected enterprise IT systems, significantly contributing to more reliable and effective business operations in all industry sectors. It will fill a market gap and give Australian businesses a world competitive advantage. The project will generate world-leading research outcomes and further cement Australia’s leading research position in enterprise software systems engineering. In particular, it will make major contributions to research into complex large-scale system interaction, system performance and scalability, and system behaviour modelling. The project also provides an excellent training environment for young researchers. Read moreRead less
Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – w ....Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – what the data means and what it can be used for – with sophisticated, scalable computational techniques to mine and present information from the huge volumes of raw data. This project is expected to improve productivity and quality of big data analytics and visualisation in critical domains.Read moreRead less
Socially Oriented Requirements Engineering - Software Engineering meets Ethnography. The project should lead to the design and development of better software/information and communications technologies in the homes of Australians, that encourage flexible social ineractions, and has been designed with the user in mind.
Metamorphic slices and their applications in fault localization. The main purpose of this project is to enhance the quality of software. The expected outcomes include the delivery of new cost-effective methods to debug software, and the extension of current debugging methods to be applicable in wider contexts.
Integration of Metamorphic Testing and Model Checking. This project proposes an innovative approach of integrating metamorphic testing and model checking. Its main outcome will be to deliver a comprehensive testing method that will help to reduce errors and costs in software development and consequently to improve the quality of software systems. Since software is pervasive and ubiquitous, our results will improve the nation's software productivity and quality. Thus, our results will help in ra ....Integration of Metamorphic Testing and Model Checking. This project proposes an innovative approach of integrating metamorphic testing and model checking. Its main outcome will be to deliver a comprehensive testing method that will help to reduce errors and costs in software development and consequently to improve the quality of software systems. Since software is pervasive and ubiquitous, our results will improve the nation's software productivity and quality. Thus, our results will help in raising our nation's competitive advantage towards the goal of becoming a leading nation in the software industry among Asia-Pacific countries. Furthermore, this collaboration will help young Australian researchers to link to the Chinese Academy of Sciences, a leading-edge international research institute.Read moreRead less
A scalable debugging framework for petascale computers. Supercomputing underpins a wide range of areas of importance to the Australian economy; mining, agriculture, engineering, medical research and pharmaceutical development to name a few. It is of critical importance that software solutions in these areas behave correctly and do not generate erroneous results. This project will develop software tools and techniques that make it possible to detect and locate errors as software is converted to r ....A scalable debugging framework for petascale computers. Supercomputing underpins a wide range of areas of importance to the Australian economy; mining, agriculture, engineering, medical research and pharmaceutical development to name a few. It is of critical importance that software solutions in these areas behave correctly and do not generate erroneous results. This project will develop software tools and techniques that make it possible to detect and locate errors as software is converted to run on the next generation of 'petascale' supercomputers. We will deploy the tools both commercially through our industry partner, and also on national high performance computing facilities.Read moreRead less
The First Objects in the Universe. We seek to unravel the mystery behind the emergence of the first objects in the Universe from what are romantically termed the "Dark Ages" - this brief (500 million year) phase marks the transition from a smooth to a clumpy Universe and is the target for billion-dollar technologies such as the Square Kilometer Array and the James Webb Space Telescope. We are establishing linkages between the groups responsible for the most powerful hydrodynamics codes applicab ....The First Objects in the Universe. We seek to unravel the mystery behind the emergence of the first objects in the Universe from what are romantically termed the "Dark Ages" - this brief (500 million year) phase marks the transition from a smooth to a clumpy Universe and is the target for billion-dollar technologies such as the Square Kilometer Array and the James Webb Space Telescope. We are establishing linkages between the groups responsible for the most powerful hydrodynamics codes applicable to simulating the dark ages, in order to implement a new paradigm for star formation and energy feedback which will aid in the interpretation of data from this next generation of major facilities.Read moreRead less
Mapping the Effectiveness of Automated Software Testing. This project aims to help software engineers build complex software systems in far more reliable and cost-effective ways. It takes an interdisciplinary approach by applying machine learning techniques to automatically test complex software systems. Expected outcomes include a novel methodology for assessing the strengths and weaknesses of test suites generated by automated software testing techniques and the approaches required for generat ....Mapping the Effectiveness of Automated Software Testing. This project aims to help software engineers build complex software systems in far more reliable and cost-effective ways. It takes an interdisciplinary approach by applying machine learning techniques to automatically test complex software systems. Expected outcomes include a novel methodology for assessing the strengths and weaknesses of test suites generated by automated software testing techniques and the approaches required for generating high-quality test cases. Such advances are urgently needed to avoid disasters when deploying software systems in the real world.Read moreRead less