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Field of Research : Programming Languages
Australian State/Territory : VIC
Field of Research : Software Engineering
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  • Funded Activity

    Discovery Projects - Grant ID: DP0450092

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    A Compositional Model for Verifying and Programming Ecologies of Smart Internet Devices. Emerging in 21st century computing is what we perceive as device ecologies, or collections of devices that can exhibit smart behaviour, automate tasks, interact synergistically with one another, with users and Internet resources, and provide aid and value in daily life and work. Device ecologies will be seen in areas as diverse as e-commerce, health care, home automation, office automation, manufacturing, an .... A Compositional Model for Verifying and Programming Ecologies of Smart Internet Devices. Emerging in 21st century computing is what we perceive as device ecologies, or collections of devices that can exhibit smart behaviour, automate tasks, interact synergistically with one another, with users and Internet resources, and provide aid and value in daily life and work. Device ecologies will be seen in areas as diverse as e-commerce, health care, home automation, office automation, manufacturing, and defense. This project will develop a novel model and language for analyzing and programming device ecologies. This will be an Australian contribution towards techniques for constructing advanced applications that work over the computing infrastructure of the future.
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    Funded Activity

    Discovery Projects - Grant ID: DP0342703

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Improving the integrity of complex software systems. Software systems are among the most complex artifacts created today. The problems of reliability and maintenance of complex software systems are well-known. Improving reliability and lowering production cost continues to be an important challenge. The aim of this project is to create software development tools that allow programmers to express more of their intentions about program behaviour, in a way which can be automatically checked, in ord .... Improving the integrity of complex software systems. Software systems are among the most complex artifacts created today. The problems of reliability and maintenance of complex software systems are well-known. Improving reliability and lowering production cost continues to be an important challenge. The aim of this project is to create software development tools that allow programmers to express more of their intentions about program behaviour, in a way which can be automatically checked, in order to find discrepancies between intended and actual behaviour. This will facilitate the construction of software that is more secure, reliable, maintainable and reusable, that is, improve the integrity of complex software systems.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE220101057

    Funder
    Australian Research Council
    Funding Amount
    $424,140.00
    Summary
    Practical Automated Software Bug Fixing via Syntactic and Semantic Analyses. This proposal aims to advance the practical adoption of automated software bug repair, which has recently been adopted by industry, e.g., Facebook. It will produce novel methods that use mining software repositories, program analysis, and human-guided search to help automated repair to scale and be accurate. Expected outcomes include a publicly available automated bug repair framework. This project will help the softwar .... Practical Automated Software Bug Fixing via Syntactic and Semantic Analyses. This proposal aims to advance the practical adoption of automated software bug repair, which has recently been adopted by industry, e.g., Facebook. It will produce novel methods that use mining software repositories, program analysis, and human-guided search to help automated repair to scale and be accurate. Expected outcomes include a publicly available automated bug repair framework. This project will help the software industry deliver to users high quality software with improved reliability and safety, and increase education quality for students learning to code via automated feedback generation.
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