research
∙
09/15/2023
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes
Software plays a crucial role in our daily lives, and therefore the qual...
share
research
∙
08/13/2023
Towards Modeling Software Quality of Virtual Reality Applications from Users' Perspectives
Virtual Reality (VR) technology has become increasingly popular in recen...
research
∙
07/18/2023
Generative Type Inference for Python
Python is a popular dynamic programming language, evidenced by its ranki...
research
∙
06/12/2023
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types
Prior studies generally focus on software vulnerability detection and ha...
research
∙
06/02/2023
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors
Although the dynamic type system of Python facilitates the developers in...
research
∙
05/09/2023
BadCS: A Backdoor Attack Framework for Code search
With the development of deep learning (DL), DL-based code search models ...
research
∙
04/15/2023
Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study
Pre-trained models of code have gained widespread popularity in many cod...
research
∙
03/06/2023
On the Feasibility of Specialized Ability Extracting for Large Language Code Models
Recent progress in large language code models (LLCMs) has led to a drama...
research
∙
03/02/2023
Deep Learning Based Code Generation Methods: A Literature Review
Code Generation aims at generating relevant code fragments according to ...
research
∙
02/09/2023
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning
Prior studies have demonstrated the effectiveness of Deep Learning (DL) ...
research
∙
02/07/2023
Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models
Previous research on code intelligence usually trains a deep learning mo...
research
∙
01/10/2023
Practitioners' Expectations on Code Completion
Code completion has become a common practice for programmers during thei...
research
∙
12/29/2022
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection
In recent years, deep learning (DL)-based methods have been widely used ...
research
∙
12/19/2022
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion
Code completion is a valuable topic in both academia and industry. Recen...
research
∙
12/12/2022
A Survey on Natural Language Processing for Programming
Natural language processing for programming, which aims to use NLP techn...
research
∙
10/11/2022
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
Transformer-based models have achieved great success on sentence pair mo...
research
∙
09/28/2022
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation
Incorporating knowledge graphs (KGs) as side information in recommendati...
research
∙
09/15/2022
A Transformer-Based Approach for Improving App Review Response Generation
Mobile apps are becoming an integral part of people's daily life by prov...
research
∙
08/17/2022
CCTEST: Testing and Repairing Code Completion Systems
Code completion, a highly valuable topic in the software development dom...
research
∙
08/03/2022
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning
Developers often need to decide which APIs to use for the functions bein...
research
∙
07/24/2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Pre-trained models have been shown effective in many code intelligence t...
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...
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 ...
research
∙
05/26/2022
Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit
Adapting Deep Learning (DL) techniques to automate non-trivial coding ac...
research
∙
05/14/2022
Generating Tips from Song Reviews: A New Dataset and Framework
Reviews of songs play an important role in online music service platform...
research
∙
04/08/2022
HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems
Modern software systems are usually highly configurable, providing users...
research
∙
02/14/2022
Source Code Summarization with Structural Relative Position Guided Transformer
Source code summarization aims at generating concise and clear natural l...
research
∙
12/23/2021
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
Application Programming Interfaces (APIs), which encapsulate the impleme...
research
∙
11/09/2021
Label-Aware Distribution Calibration for Long-tailed Classification
Real-world data usually present long-tailed distributions. Training on i...
research
∙
05/08/2021
HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction
Type inference for dynamic programming languages is an important yet cha...
research
∙
04/19/2021
Code Structure Guided Transformer for Source Code Summarization
Source code summarization aims at generating concise descriptions of giv...
research
∙
03/26/2021
TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release
App reviews deliver user opinions and emerging issues (e.g., new bugs) a...
research
∙
12/02/2020
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning
Code retrieval is a common practice for programmers to reuse existing co...
research
∙
11/04/2020
Opportunities and Challenges in Code Search Tools
Code search is a core software engineering task. Effective code search t...
research
∙
10/30/2020
Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience
Context: In-app advertising is the primary source of revenue for many mo...
research
∙
10/13/2020
Automating App Review Response Generation Based on Contextual Knowledge
User experience of mobile apps is an essential ingredient that can influ...
research
∙
08/23/2020
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing
Millions of mobile apps are available in app stores, such as Apple's App...
research
∙
08/22/2020
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis
In-app advertising closely relates to app revenue. Reckless ad integrati...
research
∙
08/17/2020
A Deep Dive on the Impact of COVID-19 in Software Development
Context: COVID-19 pandemic has impacted different business sectors aroun...
research
∙
07/14/2020
Contextualized Code Representation Learning for Commit Message Generation
Automatic generation of high-quality commit messages for code commits ca...
research
∙
06/25/2020
On the Replicability and Reproducibility of Deep Learning in Software Engineering
Deep learning (DL) techniques have gained significant popularity among s...
research
∙
04/24/2020
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation
Machine learning (ML) based approach is considered as one of the most pr...
research
∙
02/10/2020
Automating App Review Response Generation
Previous studies showed that replying to a user review usually has a pos...
research
∙
02/10/2020
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process
In our world with full of uncertainty, debates and argumentation contrib...
research
∙
12/20/2019
CORE: Automating Review Recommendation for Code Changes
Code review is a common process that is used by developers, in which a r...
research
∙
12/06/2019
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking
Commit messages record code changes (e.g., feature modifications and bug...
research
∙
06/22/2019
An Online Topic Modeling Framework with Topics Automatically Labeled
In this paper, we propose a novel online topic tracking framework, named...
research
∙
03/18/2019
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations
This paper presents an unsupervised framework for jointly modeling topic...
research
∙
09/11/2018
