Discovery Early Career Researcher Award - Grant ID: DE170101081

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE170101081

Funding Status
Closed

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity 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 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.

Funded Activity Details

Start Date: 01-01-2017

End Date: 29-02-2020

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $360,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Programming Languages | Software Engineering | Computer Software |

ANZSRC Socio-Economic Objective (SEO)

National Security | Application Tools and System Utilities

Other Keywords

Application Tools and System Utilities | Computer Software | National Security | Programming Languages | Software Engineering

Related Links