b'David Lo'

research

∙ 09/09/2023

FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations

While the majority of existing pre-trained models from code learn source...

0 Changan Niu, et al. ∙

research

∙ 09/08/2023

Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps

For decades, much software engineering research has been dedicated to de...

0 David Lo, et al. ∙

research

∙ 09/07/2023

The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models

Learning-based techniques, especially advanced Large Language Models (LL...

0 Xin Zhou, et al. ∙

research

∙ 08/29/2023

A Closer Look at the Security Risks in the Rust Ecosystem

Rust is an emerging programming language designed for the development of...

0 Xiaoye Zheng, et al. ∙

research

∙ 08/24/2023

How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective

Proper naming of methods can make program code easier to understand, and...

0 Kisub Kim, et al. ∙

research

∙ 08/22/2023

Adversarial Attacks on Code Models with Discriminative Graph Patterns

Pre-trained language models of code are now widely used in various softw...

0 Thanh-Dat Nguyen, et al. ∙

research

∙ 08/21/2023

Large Language Models for Software Engineering: A Systematic Literature Review

Large Language Models (LLMs) have significantly impacted numerous domain...

0 Xinyi Hou, et al. ∙

research

∙ 08/21/2023

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

Large Language Models (LLMs) possess impressive capabilities to generate...

0 Martin Weyssow, et al. ∙

research

∙ 08/19/2023

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection

Duplicate bug report detection (DBRD) is a long-standing challenge in bo...

0 Ting Zhang, et al. ∙

research

∙ 08/19/2023

Software Architecture in Practice: Challenges and Opportunities

Software architecture has been an active research field for nearly four ...

0 Zhiyuan Wan, et al. ∙

research

∙ 08/09/2023

Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel

The SZZ algorithm is used to connect bug-fixing commits to the earlier c...

0 Yunbo Lyu, et al. ∙

research

∙ 07/24/2023

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues

In this paper, we systematically study the quality of 4,066 ChatGPT-gene...

0 Yue Liu, et al. ∙

research

∙ 07/19/2023

Are We Ready to Embrace Generative AI for Software Q A?

Stack Overflow, the world's largest software Q A (SQA) website, is fac...

0 Bowen Xu, et al. ∙

research

∙ 07/04/2023

SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications

Privacy policies have become the most critical approach to safeguarding ...

0 Shidong Pan, et al. ∙

research

∙ 05/31/2023

Data Augmentation Approaches for Source Code Models: A Survey

The increasingly popular adoption of source code in many critical tasks ...

0 Terry Yue Zhuo, et al. ∙

research

∙ 05/27/2023

Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing

Recent studies have proposed the use of Text-To-Speech (TTS) systems to ...

0 Julia Kaiwen Lau, et al. ∙

research

∙ 05/23/2023

Multi-Granularity Detector for Vulnerability Fixes

With the increasing reliance on Open Source Software, users are exposed ...

0 Truong Giang Nguyen, et al. ∙

research

∙ 05/15/2023

DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects

The Smart Contract Weakness Classification Registry (SWC Registry) is a ...

0 Zibin Zheng, et al. ∙

research

∙ 05/06/2023

On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code

Pre-trained language models (PLMs) have become a prevalent technique in ...

5 Martin Weyssow, et al. ∙

research

∙ 04/11/2023

APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge

Utilizing pre-existing software artifacts, such as libraries and Applica...

0 Kisub Kim, et al. ∙

research

∙ 04/05/2023

APIHarvest: Harvesting API Information from Various Online Sources

Using APIs to develop software applications is the norm. APIs help devel...

0 Ferdian Thung, et al. ∙

research

∙ 03/22/2023

PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts

While having options could be liberating, too many options could lead to...

0 Ivana Clairine Irsan, et al. ∙

research

∙ 03/13/2023

Generation-based Code Review Automation: How Far Are We?

Code review is an effective software quality assurance activity; however...

0 Xin Zhou, et al. ∙

research

∙ 03/13/2023

Representation Learning for Stack Overflow Posts: How Far are We?

The tremendous success of Stack Overflow has accumulated an extensive co...

0 Junda He, et al. ∙

research

∙ 03/11/2023

NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python

Machine learning (ML) has gained much attention and been incorporated in...

0 Ratnadira Widyasari, et al. ∙

research

∙ 03/01/2023

PatchZero: Zero-Shot Automatic Patch Correctness Assessment

Automated Program Repair (APR) techniques have shown more and more promi...

0 Xin Zhou, et al. ∙

research

∙ 02/16/2023

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

The increasing use of Machine Learning (ML) software can lead to unfair ...

0 Zichong Wang, et al. ∙

research

∙ 02/14/2023

Regret-Based Optimization for Robust Reinforcement Learning

Deep Reinforcement Learning (DRL) policies have been shown to be vulnera...

0 Roman Belaire, et al. ∙

research

∙ 02/11/2023

ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems

Recent years have witnessed wider adoption of Automated Speech Recogniti...

0 Daniel Hao Xian Yuen, et al. ∙

research

∙ 01/10/2023

CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports

Tools that alert developers about library vulnerabilities depend on accu...

0 Yunbo Lyu, et al. ∙

research

∙ 01/03/2023

Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning

In this paper, we propose a novel technique, namely INVALIDATOR, to auto...

0 Thanh Le-Cong, et al. ∙

research

∙ 12/12/2022

A Pre-Trained BERT Model for Android Applications

The automation of an increasingly large number of software engineering t...

0 Tiezhu Sun, et al. ∙

research

∙ 12/08/2022

SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries

Many modern software systems are enabled by deep learning libraries such...

0 Hong Jin Kang, et al. ∙

research

∙ 12/01/2022

Duplicate Bug Report Detection: How Far Are We?

Many Duplicate Bug Report Detection (DBRD) techniques have been proposed...

0 Ting Zhang, et al. ∙

research

∙ 10/28/2022

Technical Q A Site Answer Recommendation via Question Boosting

Software developers have heavily used online question and answer platfor...

0 Zhipeng Gao, et al. ∙

research

∙ 10/28/2022

I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts

Stack Overflow has been heavily used by software developers to seek prog...

0 Zhipeng Gao, et al. ∙

research

∙ 09/07/2022

VulCurator: A Vulnerability-Fixing Commit Detector

Open-source software (OSS) vulnerability management process is important...

0 Truong Giang Nguyen, et al. ∙

research

∙ 09/07/2022

AutoPruner: Transformer-Based Call Graph Pruning

Constructing a static call graph requires trade-offs between soundness a...

0 Thanh Le-Cong, et al. ∙

research

∙ 07/22/2022

CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing

Previous studies have demonstrated that code intelligence models are sen...

0 Shuzheng Gao, et al. ∙

research

∙ 07/09/2022

A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities

Transformer-based models have demonstrated state-of-the-art performance ...

0 Yaoxian Li, et al. ∙

research

∙ 06/23/2022

AutoPRTitle: A Tool for Automatic Pull Request Title Generation

With the rise of the pull request mechanism in software development, the...

0 Ivana Clairine Irsan, et al. ∙

research

∙ 06/22/2022

iTiger: An Automatic Issue Title Generation Tool

In both commercial and open-source software, bug reports or issues are u...

0 Ting Zhang, et al. ∙

research

∙ 06/21/2022

Automatic Pull Request Title Generation

Pull Requests (PRs) are a mechanism on modern collaborative coding platf...

0 Ting Zhang, et al. ∙

research

∙ 05/21/2022

How to Find Actionable Static Analysis Warnings

Automatically generated static code warnings suffer from a large number ...

0 Rahul Yedida, et al. ∙

research

∙ 04/21/2022

Active Learning of Discriminative Subgraph Patterns for API Misuse Detection

A common cause of bugs and vulnerabilities are the violations of usage c...

0 Hong Jin Kang, et al. ∙

research

∙ 04/19/2022

ITSS: Interactive Web-Based Authoring and Playback Integrated Environment for Programming Tutorials

Video-based programming tutorials are a popular form of tutorial used by...

0 Eng Lieh Ouh, et al. ∙

research

∙ 04/11/2022

Defect Identification, Categorization, and Repair: Better Together

Just-In-Time defect prediction (JIT-DP) models can identify defect-induc...

0 Chao Ni, et al. ∙

research

∙ 04/05/2022

An Exploratory Study on Code Attention in BERT

Many recent models in software engineering introduced deep neural models...

0 Rishab Sharma, et al. ∙

research

∙ 04/05/2022

On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages

A recent study by Ahmed and Devanbu reported that using a corpus of code...

0 Fuxiang Chen, et al. ∙

research

∙ 03/21/2022

PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models

Stack Overflow is often viewed as the most influential Software Question...

0 Junda He, et al. ∙

David Lo

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