Metamodel-based Methodology for Developing Agent-Oriented Systems. In the context of building high quality software, agent technology offers substantial promise. However, its widespread deployment by industry is hampered by the lack of commercially acceptable development methodologies. Here, we expand a metamodel-based process framework (the OPEN Process Framework) to support agent-oriented (AO) software development that will eventually both form a de facto standard for AO methodologies and be ....Metamodel-based Methodology for Developing Agent-Oriented Systems. In the context of building high quality software, agent technology offers substantial promise. However, its widespread deployment by industry is hampered by the lack of commercially acceptable development methodologies. Here, we expand a metamodel-based process framework (the OPEN Process Framework) to support agent-oriented (AO) software development that will eventually both form a de facto standard for AO methodologies and be acceptable for commercial software application development. To create this extension, significant research in AO software engineering is required. Our basis will be the OPF plus elements from existing AO methodologies, notably Tropos and Gaia, whose authors will collaborate actively.Read moreRead less
Provably Correct on-chip Communication-based Design. This project falls in the priority area of Frontier Technologies for Building and Transforming Australian Industries. Embedded systems have complex communication architectures and functionalities due to their mission- and time-critical applications. This project will develop verifiable algorithms and techniques for design reuse to address them, help solve outstanding problems in the VLSI/SoC community and to lift the country's visibility and ....Provably Correct on-chip Communication-based Design. This project falls in the priority area of Frontier Technologies for Building and Transforming Australian Industries. Embedded systems have complex communication architectures and functionalities due to their mission- and time-critical applications. This project will develop verifiable algorithms and techniques for design reuse to address them, help solve outstanding problems in the VLSI/SoC community and to lift the country's visibility and credibility in the area. The economic benefits are better techniques for design reuse for embedded systems that may be integrated into existing Computer Aided Design environments, with potential to commercialise the algorithms to Electronic Design Automation and vendors.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
A framework for modelling feature variability and dependencies in software product lines. In most Australian software development organisations software products are developed individually rather than product line based. This project will promote the awareness of product line based software development and provide a frontier technology, the effective feature modelling approaches, to help Australian software industry transform from the single product based development to the product line based de ....A framework for modelling feature variability and dependencies in software product lines. In most Australian software development organisations software products are developed individually rather than product line based. This project will promote the awareness of product line based software development and provide a frontier technology, the effective feature modelling approaches, to help Australian software industry transform from the single product based development to the product line based development to achieve significant improvement on the productivity and the quality of the software development. This improvement will dramatically reduce the cost of software products and alleviate the pressure of skill shortage that currently threatens Australian economy.Read moreRead less
Building Peer-to-Peer Middleware Infrastructure with Web Services. Peer-to-Peer (P2P) computing is a framework defining the interactions between systems acting as both clients and servers. Web services technology is an evolving set of Web standards based on eXtensible Markup Language (XML), and is considered as the newest approach to distributed computing. In this project, we aim to build a new type of P2P architectural framework that is truly interoperable and distributed, being platform and la ....Building Peer-to-Peer Middleware Infrastructure with Web Services. Peer-to-Peer (P2P) computing is a framework defining the interactions between systems acting as both clients and servers. Web services technology is an evolving set of Web standards based on eXtensible Markup Language (XML), and is considered as the newest approach to distributed computing. In this project, we aim to build a new type of P2P architectural framework that is truly interoperable and distributed, being platform and language independent in an Internet-wide context. Using Web services and message queuing, this project also aims to develop a robust middleware infrastructure consisting of a set of tools and programming libraries to ease the development of verifiable P2P applications on heterogeneous platforms.Read moreRead less
Virtual Environments for Improved Enterprise Software Deployment. This project aims to improve quality assurance for enterprise IT. Enterprise IT systems are highly interconnected and interdependent — a failure in one system can cause a cascade of failures across multiple systems, bringing business to a standstill. The project aims to create new technologies to automate the provisioning of virtual deployment environments to test the enterprise systems. In particular, it aims to develop new metho ....Virtual Environments for Improved Enterprise Software Deployment. This project aims to improve quality assurance for enterprise IT. Enterprise IT systems are highly interconnected and interdependent — a failure in one system can cause a cascade of failures across multiple systems, bringing business to a standstill. The project aims to create new technologies to automate the provisioning of virtual deployment environments to test the enterprise systems. In particular, it aims to develop new methods for the automatic analysis of service interaction traces and the generation of accurate executable service models, without requiring explicit knowledge of them. The automatic analysis and generation should reduce development cost for enterprise IT systems and increase system quality and reliability. The new software deployment technologies from this project aim to significantly reduce the time, effort and cost of system quality assurance activities in software development organisations, and yet produce higher-quality software leading to uninterrupted business operation in end-user organisations across all sectors.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170101081
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis t ....Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis to efficiently and precisely analyse large-scale programs according to clients’ needs, thereby allowing compilers to generate safe, reliable and secure code. This project is expected to advance value-flow analysis for industrial-sized software, improve software reliability and security, and benefit Australian software systems and industries.Read moreRead less
A fast and effective automated insider threat detection and prediction system. Threats from insiders directly compromises the security, privacy and integrity of Australian e-commerce, large databases and communication channels. This project will provide an essential step in combating this criminal activity by developing methods to detect such threats and secure the public's information against exposure and identity theft.
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
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