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Grant Award View - GA141165-V2
Data-Driven Code Reviews for Cost-Effective Software Quality Assurance
GA ID:
GA141165-V2
Agency:
Australian Research Council
Approval Date:
1-Dec-2020
Variation Publish Date:
14-Oct-2021
Variation Date:
12-Oct-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jan-2021 to 31-Dec-2023
Value (AUD):
$402,160.00
(GST inclusive where applicable)
Varies:
GA141165
- Data-Driven Code Reviews for Cost-Effective Software Quality Assurance
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 20/21 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Data-Driven Code Reviews for Cost-Effective Software Quality Assurance
Purpose:
This DECRA project aims to create advanced techniques that will enable software engineers to effectively assure the highest quality of software systems with minimal cost through data-driven recommendations. The current standard practices in software quality assurance involve the manual and tedious process of code review, which can lead to high costs and cause severe delays in software development. The expected outcomes of this project include new theories, techniques, and an automated system that provides insightful feedback, suitable reviewer recommendations, and fine-grained effort prioritisation. Significant benefits are expected to improve the production of Australia's software and the quality of safety-critical software systems.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2021
Internal Reference ID:
DE21 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Melbourne
Recipient ABN:
84 002 705 224
Grant Recipient Location
Suburb:
UNIVERSITY OF MELBOURNE
Town/City:
UNIVERSITY OF MELBOURNE
Postcode:
3010
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3010
Country:
AUSTRALIA