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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...
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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...
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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...
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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...
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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...
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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...
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08/21/2023
Large Language Models for Software Engineering: A Systematic Literature Review
Large Language Models (LLMs) have significantly impacted numerous domain...
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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...
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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...
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08/19/2023
Software Architecture in Practice: Challenges and Opportunities
Software architecture has been an active research field for nearly four ...
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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...
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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...
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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...
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07/04/2023
SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications
Privacy policies have become the most critical approach to safeguarding ...
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05/31/2023
Data Augmentation Approaches for Source Code Models: A Survey
The increasingly popular adoption of source code in many critical tasks ...
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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 ...
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05/23/2023
Multi-Granularity Detector for Vulnerability Fixes
With the increasing reliance on Open Source Software, users are exposed ...
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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 ...
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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 ...
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04/11/2023
APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge
Utilizing pre-existing software artifacts, such as libraries and Applica...
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04/05/2023
APIHarvest: Harvesting API Information from Various Online Sources
Using APIs to develop software applications is the norm. APIs help devel...
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03/22/2023
PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts
While having options could be liberating, too many options could lead to...
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03/13/2023
Generation-based Code Review Automation: How Far Are We?
Code review is an effective software quality assurance activity; however...
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03/13/2023
Representation Learning for Stack Overflow Posts: How Far are We?
The tremendous success of Stack Overflow has accumulated an extensive co...
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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...
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03/01/2023
PatchZero: Zero-Shot Automatic Patch Correctness Assessment
Automated Program Repair (APR) techniques have shown more and more promi...
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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 ...
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02/14/2023
Regret-Based Optimization for Robust Reinforcement Learning
Deep Reinforcement Learning (DRL) policies have been shown to be vulnera...
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02/11/2023
ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems
Recent years have witnessed wider adoption of Automated Speech Recogniti...
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01/10/2023
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports
Tools that alert developers about library vulnerabilities depend on accu...
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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...
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12/12/2022
A Pre-Trained BERT Model for Android Applications
The automation of an increasingly large number of software engineering t...
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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...
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12/01/2022
Duplicate Bug Report Detection: How Far Are We?
Many Duplicate Bug Report Detection (DBRD) techniques have been proposed...
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10/28/2022
Technical Q A Site Answer Recommendation via Question Boosting
Software developers have heavily used online question and answer platfor...
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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...
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09/07/2022
VulCurator: A Vulnerability-Fixing Commit Detector
Open-source software (OSS) vulnerability management process is important...
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09/07/2022
AutoPruner: Transformer-Based Call Graph Pruning
Constructing a static call graph requires trade-offs between soundness a...
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07/22/2022
CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing
Previous studies have demonstrated that code intelligence models are sen...
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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 ...
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06/23/2022
AutoPRTitle: A Tool for Automatic Pull Request Title Generation
With the rise of the pull request mechanism in software development, the...
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06/22/2022
iTiger: An Automatic Issue Title Generation Tool
In both commercial and open-source software, bug reports or issues are u...
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06/21/2022
Automatic Pull Request Title Generation
Pull Requests (PRs) are a mechanism on modern collaborative coding platf...
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05/21/2022
How to Find Actionable Static Analysis Warnings
Automatically generated static code warnings suffer from a large number ...
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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...
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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...
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04/11/2022
Defect Identification, Categorization, and Repair: Better Together
Just-In-Time defect prediction (JIT-DP) models can identify defect-induc...
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04/05/2022
An Exploratory Study on Code Attention in BERT
Many recent models in software engineering introduced deep neural models...
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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...
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03/21/2022