|
Fujitsu and SMBC Conduct Joint Field Trial of AI Technology to Automatically Recommend Software Repairs
Reduces the time required to repair latent software bugs by up to 30%, shortening development and maintenance work.
TOKYO, Oct 24, 2019 - (JCN Newswire) - Sumitomo Mitsui Financial Group (SMFG), The Japan Research Institute, Limited (JRI), and Fujitsu Limited today announced that they have conducted a joint field trial to determine the effectiveness of an AI technology that automatically recommends software repairs(1).
 | | Summary of the technology to automatically recommend software repairs |
This technology leverages AI to automatically generate recommended repairs for latent bugs in software detected by static analysis tools(2), offering insights to the software's developers. In the trial, the technology was applied to software for the system that handles financial transactions for Sumitomo Mitsui Banking Corporation (SMBC), developed by JRI. The evaluation results showed that the technology could recommend appropriate repairs for over half of the latent bugs detected. Using these proposed repairs, it would have been possible to reduce the time required to repair the latent bugs by up to 30% compared with performing the task manually. Therefore, it is anticipated that the technology will contribute to significant reductions in software development and maintenance time.
Background
In the finance industry, providing service innovation using digital transformation and fintech, has become indispensable to improving competitiveness. While demand exists for financial institutions to provide their customers with the latest digital services as fast as possible, financial services require a particularly high degree of trustworthiness, so development methods for improving software quality in a short time frame have become a pressing issue.
In light of these circumstances, Fujitsu Laboratories of America, Inc., and SMFG Silicon Valley Digital Innovation Laboratory collaborated to conduct a joint field trial to evaluate the effectiveness of this technology when applied to SMBC's financial transaction processing system. The technology was initially developed by Fujitsu Laboratories of America and Fujitsu Laboratories Ltd.
About the Technology
Given a set of latent bugs in software, identified by static analysis tools, this technology synthesizes repairs based on a set of repair strategies and recommends them to developers. The repair strategies are learned from repair examples of previous latent bugs using AI.
Latent bugs may cause a wide variety of software problems, including performance degradation, incorrect behavior, and poor maintainability. In order to repair latent bugs, software developers must begin by analyzing how to repair each one individually, so the process requires significant amounts of time.
With this technology, an AI model is trained on examples of repairing latent bugs extracted from the development history of a wide variety of software projects, deriving repair strategies for different bug types. When applied to latent bugs in software under development, this technology uses these learned repair strategies to automatically synthesize and recommend repairs for the bugs, to the developer. It is expected that the use of this technology could shorten software development and maintenance times compared to having developers repair each identified latent bug manually.
Summary of the Field Trial
1. Time Period
August 1 - September 30, 2019
2. Details
In this field trial, this technology was applied to SMBC's financial transaction processing system, developed by JRI. In the trial, the number of latent bugs in the selected software was tabulated using a static analysis tool, as well as the number of valid repair recommendations synthesized by this technology, verified through a manual examination of each recommended repair.
The results show that this technology was able to generate repair recommendations for 52.7% of the latent bugs in the selected software and that, of those repair recommendations, 95.3% were valid. This means that this technology was able to recommend valid repairs for 50.2% of all latent bugs. Further, we estimated that the time required to fix these latent bugs could be reduced by up to 30%, compared with having developers manually repair each bug individually.
Future Developments
SMFG and JRI are considering a full-scale deployment of this technology in order to improve the quality and efficiency of software development. In addition, Fujitsu aims to use the results of this field trial to further enhance the analytical capacity of the technology and improve the accuracy of the proposed solutions, while also aiming to make this technology available as a development support service during fiscal 2020.
Notes:
(1) Technology to automatically recommend software repairs using AI --
Presented by Fujitsu Laboratories of America, Inc. at the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019), an international conference held in Tallinn, Estonia, on August 26-30, 2019.
(2) Static analysis tools --
Tools for detecting latent software problems solely by analyzing the software's source code, without executing the software.
Contact:Fujitsu Limited
Public and Investor Relations
Tel: +81-3-3215-5259
URL: www.fujitsu.com/global/news/contacts/
Source: Fujitsu Ltd
Sectors: Artificial Intel [AI]
Copyright ©2025 JCN Newswire. All rights reserved. A division of Japan Corporate News Network. |
Latest Release
Fujitsu to develop ETF trading platform based on TSE's CONNEQTOR and provide it to Australian Securities Exchange
Jul 03, 2025 11:14 JST
| 
Mitsubishi Motors Launches the All-New Grandis for the European Market
Jul 02, 2025 12:10 JST
| 
Valuufy partners with Mainichi Future Creation Lab, Supporting New Approaches to Business Sustainability
Jul 02, 2025 12:00 JST
|
Fujitsu launches solution to enhance customers' global supply chain resilience
Jul 02, 2025 11:32 JST
| 
MHI Receives Order to Supply Four Circulating Water Pumps for Units 5 and 6 of Sanmen Nuclear Power Plant in China Under Collaboration with Dongfang Electric Machinery
Jul 02, 2025 11:30 JST
| 
Multi-purpose Arena in Odaiba Aomi Area TOYOTA ARENA TOKYO Construction Completed
Jul 01, 2025 22:56 JST
|
1Finity, a Fujitsu company, commences operations and reveals brand identity
Jul 01, 2025 22:53 JST
|
MHI Thermal Systems Begins Field Test of Jointly Developed "Surplus Renewable Energy Absorption and Release System"
Jul 01, 2025 22:40 JST
| 
Japan's Telecommunications Carriers Strengthen Disaster Response Through Collaborative Information Sharing
Jul 01, 2025 22:30 JST
| 
JCB and Mandai Wildlife Group Deepen Partnership with exclusive discounts for JCB cardmembers
Jul 01, 2025 16:00 JST
|
Fujitsu provides Japan's first AI-powered cloud-based library search service
Jul 01, 2025 11:30 JST
|
JCB Brings Apple Pay to Cardmembers in Vietnam
Jul 01, 2025 11:15 JST
| 
First Shipment of LNG from the LNG Canada Project
Jul 01, 2025 11:00 JST
|
Approval in Principle (AiP) for World's First LCO2 / Methanol Carrier
Jun 30, 2025 20:30 JST
|
Acropolis Rally Greece: Day 4 Sunday success and second overall for TOYOTA GAZOO Racing's Ogier
Jun 30, 2025 20:15 JST
|
Mitsubishi Fuso-Hino Merger: 4 Firms Collaborate for the Future of Commercial Vehicles
Jun 30, 2025 20:10 JST
| 
Six Companies Establish BlueRebirth Council to Expand Use of Recycled Materials in New Vehicles
Jun 30, 2025 19:25 JST
| 
Honda Changes Plan to Build New Production Plant for Next-generation Fuel Cell Module in Japan
Jun 30, 2025 19:20 JST
|
MHI-AC&R Receives Recommendation Award of JARAC's 42nd Excellent Energy Saving Equipment Awards
Jun 30, 2025 19:00 JST
|
The University of Osaka and Fujitsu Japan launch joint research on AI-powered education support for culturally and linguistically diverse children in Japan
Jun 30, 2025 12:00 JST
|
More Latest Release >>
|