Creating and Assessing Processes for Object-Oriented and Component-Based Software Development. This project is based on the principles of both theoretical and empirical software engineering. It focuses on the processes, technology and quality of software systems produced using component-based development (CBD) which is achieving substantial software re-use. Among the main objectives of this project are the creation of a unified CBD process metamodel and associated family of reference processes t ....Creating and Assessing Processes for Object-Oriented and Component-Based Software Development. This project is based on the principles of both theoretical and empirical software engineering. It focuses on the processes, technology and quality of software systems produced using component-based development (CBD) which is achieving substantial software re-use. Among the main objectives of this project are the creation of a unified CBD process metamodel and associated family of reference processes together with a closely linked CBD assessment methodology.Read moreRead less
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
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
Viewable Measures for Component-Based Software Engineering. Software costs over US$300 billion per year worldwide with around 70% of large projects failing to complete in time. Reliable estimation of development effort is a great challenge in Software Engineering. This project aims to develop a reliable multi-dimensional software size measure and an effort estimation model for a new method of development called component based software engineering. We will validate our results theoretically and ....Viewable Measures for Component-Based Software Engineering. Software costs over US$300 billion per year worldwide with around 70% of large projects failing to complete in time. Reliable estimation of development effort is a great challenge in Software Engineering. This project aims to develop a reliable multi-dimensional software size measure and an effort estimation model for a new method of development called component based software engineering. We will validate our results theoretically and test it against empirical data from software industry. We will provide novel visualization techniques to comprehend measurements of large systems. The outcomes will help software projects better estimate deadlines and budgets thus reducing costs significantly.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
Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian ent ....Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian enterprises, and thus improve their operations. Australian software designers will also benefit, as they will be able to produce software that combines high performance with assurance that concurrency errors will not occur.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
Implementing Bioinformatics Algorithms using .NET-based Stored Procedures in a Database Cluster. We will create the technology for significantly improving the management, processing and sharing of biological data. Areas in which Australia has a large stake, including the development of new drugs, disease research, and agricultural genetic engineering, stand to benefit considerably from these advances. This contribution by Australian researchers to a global problem will have a positive impact on ....Implementing Bioinformatics Algorithms using .NET-based Stored Procedures in a Database Cluster. We will create the technology for significantly improving the management, processing and sharing of biological data. Areas in which Australia has a large stake, including the development of new drugs, disease research, and agricultural genetic engineering, stand to benefit considerably from these advances. This contribution by Australian researchers to a global problem will have a positive impact on our own health industry, and will provide the foundation for improvements in agriculture and financial services.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
Special Research Initiatives - Grant ID: SR0567334
Funder
Australian Research Council
Funding Amount
$125,748.00
Summary
A Grid-Enabled National Archive of Nanostructural Imagery (GRANI). The Nanostructural Analysis Network Organization (NANO) is an Australian Major National Research Facility that provides access to a grid of advanced microscopic instruments for the nanostructural analysis of both physical materials and biological systems. The aim of this initiative is to provide the NANO community with a set of common, interoperable tools and services to enable more efficient, cost-effective storage, management, ....A Grid-Enabled National Archive of Nanostructural Imagery (GRANI). The Nanostructural Analysis Network Organization (NANO) is an Australian Major National Research Facility that provides access to a grid of advanced microscopic instruments for the nanostructural analysis of both physical materials and biological systems. The aim of this initiative is to provide the NANO community with a set of common, interoperable tools and services to enable more efficient, cost-effective storage, management, analysis and sharing of generated microscopic images, video and analytical data. The significance of the proposed middleware is that it will improve collaboration and reduce duplication across many disciplines, through a shareable, distributed national scientific image/video database.Read moreRead less