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Grant Award View - GA68774
Practical and Explainable Analytics to Prevent Future Software Defects
GA ID:
GA68774
Agency:
Australian Research Council
Approval Date:
19-Dec-2019
Publish Date:
6-Jan-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
2-Mar-2020 to 2-Mar-2023
Original: 1-Jan-2020 to 31-Dec-2022
Value (AUD):
$392,778.00
(GST inclusive where applicable)
Variations:
- GA68774-V3 - Variation to Grant (14-Oct-2021 )
- GA68774-V2 - Variation to Grant (2-Aug-2021 )
- GA68774-V1 - Variation to Grant (11-May-2021 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Practical and Explainable Analytics to Prevent Future Software Defects
Purpose:
This project aims to create technologies that enable software engineers to produce the highest quality software systems with the lowest costs, by preventing future defects in safety-critical systems that could result in death and disasters. Expected outcomes of this project include new theories, techniques, and analytics systems to assist software engineers accurately predict, explain, and prevent future software defects before they impact end users. This should provide significant benefits including accelerating the productivity of the software industry while preventing software defects in many critical domains including smart city and e-health applications.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2020
Internal Reference ID:
DE20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Monash University
Recipient ABN:
12 377 614 012
Grant Recipient Location
Suburb:
MULGRAVE
Town/City:
MULGRAVE
Postcode:
3170
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3170
Country:
AUSTRALIA