27 citations · 45 across the 32 of their papers we have counts for
11 papers · 1 filter
Automatically Detecting Checked-In Secrets in Android Apps: How Far Are We?
Kevin Li, Lin Ling, Jinqiu Yang +1
Mobile apps are predominantly integrated with cloud services to benefit from enhanced functionalities. Adopting authentication using secrets such as API keys is crucial to ensure s…
Specification-Driven Code Translation Powered by Large Language Models: How Far Are We?
Soumit Kanti Saha, Fazle Rabbi, Song Wang +1
Large Language Models (LLMs) are increasingly being applied across various domains, including code-related tasks such as code translation. Previous studies have explored using LLMs…
Bias Unveiled: Investigating Social Bias in LLM-Generated Code
Lin Ling, Fazle Rabbi, Song Wang +1
Large language models (LLMs) have significantly advanced the field of automated code generation. However, a notable research gap exists in evaluating social biases that may be pres…
Checker Bug Detection and Repair in Deep Learning Libraries
Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin +8
Checker bugs in Deep Learning (DL) libraries are critical yet not well-explored. These bugs are often concealed in the input validation and error-checking code of DL libraries and…
Time to Retrain? Detecting Concept Drifts in Machine Learning Systems
Tri Minh Triet Pham, Karthikeyan Premkumar, Mohamed Naili +1
With the boom of machine learning (ML) techniques, software practitioners build ML systems to process the massive volume of streaming data for diverse software engineering tasks su…
Evaluating and Improving the Robustness of LiDAR Odometry and Localization Under Real-World Corruptions
Bo Yang, Tri Minh Triet Pham, Jinqiu Yang
LiDAR odometry and localization are two widely used and fundamental applications in robotic and autonomous driving systems. Although state-of-the-art (SOTA) systems achieve high ac…
Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems
Tri Minh Triet Pham, Bo Yang, Jinqiu Yang
Autonomous Driving Systems (ADS) have made huge progress and started on-road testing or even commercializing trials. ADS are complex and difficult to test: they receive input data…
On the Robustness Evaluation of 3D Obstacle Detection Against Specifications in Autonomous Driving
Tri Minh Triet Pham, Bo Yang, Jinqiu Yang
Autonomous driving systems (ADSs) rely on real-time sensor data, such as cameras and LiDARs, for time-critical decisions using deep neural networks. The accuracy of these decisions…
An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation
Junjie Li, Fazle Rabbi, Cheng Cheng +3
AI-powered coding assistants such as GitHub's Copilot and OpenAI's ChatGPT have achieved notable success in automating code generation. However, these tools rely on pre-trained Lar…
SBEST: Spectrum-Based Fault Localization Without Fault-Triggering Tests
Md Nakhla Rafi, Lorena Barreto Simedo Pacheco, An Ran Chen +3
Fault localization is a critical step in software maintenance. Yet, many existing techniques, such as Spectrum-Based Fault Localization (SBFL), rely heavily on the availability of…
A Survey on Query-based API Recommendation
Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle +6
Application Programming Interfaces (APIs) are designed to help developers build software more effectively. Recommending the right APIs for specific tasks has gained increasing atte…