Expressiveness Comparison and Interchange Facilitation between Business Process Execution Languages. Developments in the area of business process management are currently hindered by the plethora of diverse business process execution languages. This project will develop techniques for dealing with interoperability issues induced by this language heterogeneity. The project combines theoretical research, grounded in concurrency theory and workflow patterns, with pragmatic research focusing on lang ....Expressiveness Comparison and Interchange Facilitation between Business Process Execution Languages. Developments in the area of business process management are currently hindered by the plethora of diverse business process execution languages. This project will develop techniques for dealing with interoperability issues induced by this language heterogeneity. The project combines theoretical research, grounded in concurrency theory and workflow patterns, with pragmatic research focusing on languages supported by commercial tools. The outcome will be a framework for comparing the expressiveness of process execution languages and defining mappings between them. This will place Australia at the forefront of developments in business process management systems: a crucial technology in today's global, dynamic, and heterogeneous environments.
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Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering bus ....Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering business operations towards consistent and compliant outcomes and higher performance, and assist analysts and auditors to explain deviant operations. This should significantly benefit industries such as healthcare, insurance, retail and the government where compliance and integrity management are imperative.Read moreRead less
Improved Businesss Decision-Making via Liquid Process Model Collections. This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in ....Improved Businesss Decision-Making via Liquid Process Model Collections. This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in event logs. The approach is intended to be implemented in an open-source technology to facilitate advanced investigations and predictions that can ultimately lead to better strategic decision-making. This technology also has the potential to become a research-enabling tool for the large research community in business process management.Read moreRead less
Legacy2Service: A Novel, Model-Driven Technique for Re-engineering On-Demand, Software Services out of Legacy Applications. The proliferation of software-as-a-service applications from "dotcom" players is raising expectations that other industries will make their critical desktop and mainframe software available as web-enabled software-as-a-service and mobile "apps". However, manually re-engineering legacy software is notoriously costly and frequently unsuccessful. This project will make it easi ....Legacy2Service: A Novel, Model-Driven Technique for Re-engineering On-Demand, Software Services out of Legacy Applications. The proliferation of software-as-a-service applications from "dotcom" players is raising expectations that other industries will make their critical desktop and mainframe software available as web-enabled software-as-a-service and mobile "apps". However, manually re-engineering legacy software is notoriously costly and frequently unsuccessful. This project will make it easier and quicker to turn stand-alone programs into online services by automating much of the process. Specifically, it will develop tools: for analysing program code to identify points to implement service interfaces; for displaying existing and new code dependencies visually; and, to help design and implement new software layers that link legacy services to the web.Read moreRead less
Designing for Reliability and Maintainability in Service-Oriented Architectures. This project aims to build expertise in the design of computer software, especially enterprise systems in domains such as finance and logistics that are vast in scale and highly complex and geographically separated. By fostering and formalising techniques for improving developer productivity and the reliability and maintainability of enterprise systems, Australia can secure a place as a world leader in software meth ....Designing for Reliability and Maintainability in Service-Oriented Architectures. This project aims to build expertise in the design of computer software, especially enterprise systems in domains such as finance and logistics that are vast in scale and highly complex and geographically separated. By fostering and formalising techniques for improving developer productivity and the reliability and maintainability of enterprise systems, Australia can secure a place as a world leader in software methodology, with an emphasis on technology production rather than consumption. Australian computer consulting services are a $19.5b industry, whilst the wider services sector, which is increasingly reliant on automation to stay competitive, accounts for 70% of Australia's GNP.Read moreRead less
Cross-Community Information Systems: Understanding Technology-Practice Fit in Healthcare. This project addresses unsolved issues of usability of e-health information systems across diverse stakeholder communities that need to coordinate to deliver the expected revolution in patient-centred health care. The project will help realise the Nation's large investment in e-health by improving the likelihood of system acceptance, thus making a significant contribution to facilitating the important insti ....Cross-Community Information Systems: Understanding Technology-Practice Fit in Healthcare. This project addresses unsolved issues of usability of e-health information systems across diverse stakeholder communities that need to coordinate to deliver the expected revolution in patient-centred health care. The project will help realise the Nation's large investment in e-health by improving the likelihood of system acceptance, thus making a significant contribution to facilitating the important institutional transformations expected of these systems. The timeliness, depth and breadth of the study will yield outcomes that will enhance Australia's research reputation. This project directly addresses the 'smart information use' and 'promoting and maintaining good health' national research prioritiesRead moreRead less
Embedding Enterprise Systems in IoT Fog Networks through Microservices. The project will enable automated re-engineering of enterprise systems, to allow them to reused in Internet-of-Things (IoT) applications. It will support efficient ways in which the core business logic of these large scale and monolithic systems can be extended into resource control and data sensing functions managed through the IoT. The project will develop a novel, fine-grained software architecture style suitable for loca ....Embedding Enterprise Systems in IoT Fog Networks through Microservices. The project will enable automated re-engineering of enterprise systems, to allow them to reused in Internet-of-Things (IoT) applications. It will support efficient ways in which the core business logic of these large scale and monolithic systems can be extended into resource control and data sensing functions managed through the IoT. The project will develop a novel, fine-grained software architecture style suitable for localised IoT execution, through microservices executing autonomously on nodes of IoT fog networks. It will develop new techniques for automated discovery of microservices from enterprise systems and the verification of future-state system execution based on current-state behavioural and other properties such as security.Read moreRead less
Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that op ....Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that optimally extract information from PET and CT using mathematical models that correct for the various sources of inaccuracy. Our research will put Australian biomedical researchers and healthcare professionals at the forefront of advanced medical imaging technology.Read moreRead less
Model-based error location in Java programs. The construction of modern software requires extensive testing and
debugging in addition to using appropriate specification, design, and
verification techniques. Testing and debugging are very time-consuming
and costly, drawing - according to recent articles - "typically 50%
or more of the resources for software projects''. By providing a new,
flexible approach to the debugging of complex software, this project
offers the potential of significant cost ....Model-based error location in Java programs. The construction of modern software requires extensive testing and
debugging in addition to using appropriate specification, design, and
verification techniques. Testing and debugging are very time-consuming
and costly, drawing - according to recent articles - "typically 50%
or more of the resources for software projects''. By providing a new,
flexible approach to the debugging of complex software, this project
offers the potential of significant cost savings, highly beneficial to
the ICT industry. Lessons learned from the demonstration prototype,
can be directly carried over into commercial tool development. In
addition, the project strengthens links to high quality European
research laboratories.Read moreRead less
Risk-aware business process management. Risk-aware business process management will revolutionise the identification and treatment of risks in business processes by integrating the latest technologies for risk management and process management. It will provide organisations with a range of new tools and techniques for designing, deploying and monitoring risk-aware business processes.