Intelligent Model Checking. Real-world systems are typically so complex that software engineers require specialised CAD tools to debug and verify a design. Model checking is a formal method that is used extensively for this purpose, particularly for mission-critical systems. In this work, a new kind of verifying tool, based on model checking, is developed. This new model checker is intelligent because a heuristic search is integrated into the underlying formalism. It is not exhaustive, and is mo ....Intelligent Model Checking. Real-world systems are typically so complex that software engineers require specialised CAD tools to debug and verify a design. Model checking is a formal method that is used extensively for this purpose, particularly for mission-critical systems. In this work, a new kind of verifying tool, based on model checking, is developed. This new model checker is intelligent because a heuristic search is integrated into the underlying formalism. It is not exhaustive, and is more efficient than a traditional model checker during the design phase because it does only a minimum amount of work in its search for a fault.Read moreRead less
Implementing Feferman-Landin Logic. The objective of this project is to utilise computer based verification tools (such as PVS and Rewritting Logic) to develop a software engineering environment for specifying and verifying systems written in high-level programming languages such as Java, Scheme, and ML. The project will thus subtantially advance the use of formal computer based tools to develop reliable programs and specifications for life-critical systems. The project will also develop form ....Implementing Feferman-Landin Logic. The objective of this project is to utilise computer based verification tools (such as PVS and Rewritting Logic) to develop a software engineering environment for specifying and verifying systems written in high-level programming languages such as Java, Scheme, and ML. The project will thus subtantially advance the use of formal computer based tools to develop reliable programs and specifications for life-critical systems. The project will also develop formally
based interoperability between the PVS and Maude systems, two widely
used computer tools for reasoning about complex systems.Read moreRead less
Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed b ....Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed by academics. We hypothesise that current 3D relational visualization methods fail because they do not pay attention to the human perception of topology. In this project we will leverage mathematical topology to construct new methods for the 3D visualization of relational data.
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WAVELET-BASED MODELLING AND MODEL PREDICTIVE CONTROL OF COMPLEX MULTIDIMENSIONAL CRYSTALLISATION PROCESSES. The results of this project will directly contribute to a better understanding of crystallisation which is an important unit operation to achieve high purity separations. Many Australian industries for example, mineral processing, sugar processing, pharmaceuticals, etc will benefit from the results in order to enhance optimal operation and control to ensure globally competitive production ....WAVELET-BASED MODELLING AND MODEL PREDICTIVE CONTROL OF COMPLEX MULTIDIMENSIONAL CRYSTALLISATION PROCESSES. The results of this project will directly contribute to a better understanding of crystallisation which is an important unit operation to achieve high purity separations. Many Australian industries for example, mineral processing, sugar processing, pharmaceuticals, etc will benefit from the results in order to enhance optimal operation and control to ensure globally competitive production which is on time, minimize wastes and raw materials and inventories. The leading edge results will increase the contributions of these industries to the Australian economy and our global competitiveness necessary to maintain our culture and the beauty of our environment. Read moreRead less
Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident ....Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident triage. Expected outcomes of the project include a set of novel methods and tools that can facilitate incident diagnosis and resolution. This project will provide significant benefits, such as improving the availability of software-intensive systems and reducing the economic loss caused by the incidents. Read moreRead less
Redesigning Typesetting for the Digital Age: Multilingual Layout on Multiple Media. We propose to create and develop a new model for character-level automatic typesetting, much more flexible than existing approaches. This model will support quality typesetting of all of the modern - and many ancient - languages and scripts, on media such as paper, computer screen, paper maps and online maps, for regular and safety-critical applications.
The fundamental innovations in this proposal are the us ....Redesigning Typesetting for the Digital Age: Multilingual Layout on Multiple Media. We propose to create and develop a new model for character-level automatic typesetting, much more flexible than existing approaches. This model will support quality typesetting of all of the modern - and many ancient - languages and scripts, on media such as paper, computer screen, paper maps and online maps, for regular and safety-critical applications.
The fundamental innovations in this proposal are the use of a tree-structured parameter space (generalization of Unix environment variables) and a multiple-pass approach to typesetting (as used in compilers). These innovative techniques will be integrated into computer software used worldwide.Read moreRead less
Design-Driven Requirements for Internet-Enabled System Development. The nature of Web system development is significantly different from conventional, software and IT development. Amongst other factors, there is substantial uncertainty in both clients' understanding of their needs and developers' understanding of the systems domain. We will develop an uncertainty model relevant to the development model relevant to the development of internet-enabled systems, and then use this model to adapt th ....Design-Driven Requirements for Internet-Enabled System Development. The nature of Web system development is significantly different from conventional, software and IT development. Amongst other factors, there is substantial uncertainty in both clients' understanding of their needs and developers' understanding of the systems domain. We will develop an uncertainty model relevant to the development model relevant to the development of internet-enabled systems, and then use this model to adapt the design process to support elicitation of requirements, as well as developing support for this adapted process. This will facilitate the development of systems that more accurately reflect clients' needs, and result in an understanding of what would be involved in reducing development costs.Read moreRead less
Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project ....Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project are a family of new context-aware techniques to verify and validate complex behaviours in autonomous driving. This should provide significant benefits, such as safe autonomous driving systems and the improved journey experience and security for road users.Read moreRead less
Formalising and automating the elicitation and reconciliation of requirements from multiple stakeholders. It is well recognised that requirements specifications are often error-prone and that it is much cheaper to detect and fix these errors early in the software development life cycle than later. A major problem with requirements determination is that each and every stakeholder has his/her own representation of the enterprise reality. This project seeks to take these views and use set-theore ....Formalising and automating the elicitation and reconciliation of requirements from multiple stakeholders. It is well recognised that requirements specifications are often error-prone and that it is much cheaper to detect and fix these errors early in the software development life cycle than later. A major problem with requirements determination is that each and every stakeholder has his/her own representation of the enterprise reality. This project seeks to take these views and use set-theoretical techniques from Formal Concept Analysis (FCA) to automatically generate and compare the underlying conceptual models. A process model based on FCA has been proposed which we will extend and empirically evaluate in this project. The result will be a more rigorous and yet pragmatic approach to requirements engineering which offers the greatest economic leverage.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less