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09/19/2023
Revisiting and Improving Retrieval-Augmented Deep Assertion Generation
Unit testing validates the correctness of the unit under test and has be...
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09/18/2023
LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data
Log data is a crucial resource for recording system events and states du...
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09/15/2023
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
Cross-domain Sequential Recommendation (CSR) which leverages user sequen...
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09/07/2023
DGSD: Dynamical Graph Self-Distillation for EEG-Based Auditory Spatial Attention Detection
Auditory Attention Detection (AAD) aims to detect target speaker from br...
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08/25/2023
SoTaNa: The Open-Source Software Development Assistant
Software development plays a crucial role in driving innovation and effi...
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08/24/2023
Try with Simpler – An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection
The rapid growth of deep learning (DL) has spurred interest in enhancing...
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06/12/2023
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation
Gaussian process (GP) based Bayesian optimization (BO) is a powerful met...
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06/02/2023
An Evaluation of Log Parsing with ChatGPT
Software logs play an essential role in ensuring the reliability and mai...
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05/15/2023
Improving ChatGPT Prompt for Code Generation
Automated code generation can be a powerful technique for software devel...
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04/11/2023
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond
Recently, fine-tuning pre-trained code models such as CodeBERT on downst...
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03/13/2023
xASTNN: Improved Code Representations for Industrial Practice
The application of deep learning techniques in software engineering beco...
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02/19/2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
In cloud systems, incidents are potential threats to customer satisfacti...
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02/15/2023
Log Parsing with Prompt-based Few-shot Learning
Logs generated by large-scale software systems provide crucial informati...
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02/09/2023
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning
Prior studies have demonstrated the effectiveness of Deep Learning (DL) ...
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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...
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12/27/2022
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks
Configurable software systems are employed in many important application...
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12/21/2022
Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base
A critical step in sharing semantic content online is to map the structu...
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10/21/2022
Exploring Representation-Level Augmentation for Code Search
Code search, which aims at retrieving the most relevant code fragment fo...
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09/17/2022
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
Fairness testing aims at mitigating unintended discrimination in the dec...
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09/16/2022
LogGD:Detecting Anomalies from System Logs by Graph Neural Networks
Log analysis is one of the main techniques engineers use to troubleshoot...
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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...
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06/29/2022
Diet Code is Healthy: Simplifying Programs for Pre-Trained Models of Code
Pre-trained code representation models such as CodeBERT have demonstrate...
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04/21/2022
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Third-party libraries (TPLs) are reused frequently in software applicati...
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04/20/2022
Where is Your App Frustrating Users?
User reviews of mobile apps provide a communication channel for develope...
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04/07/2022
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation
Code search aims to retrieve the most semantically relevant code snippet...
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03/29/2022
Accelerating Code Search with Deep Hashing and Code Classification
Code search is to search reusable code snippets from source code corpus ...
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03/27/2022
HELoC: Hierarchical Contrastive Learning of Source Code Representation
Abstract syntax trees (ASTs) play a crucial role in source code represen...
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03/05/2022
ECMG: Exemplar-based Commit Message Generation
Commit messages concisely describe the content of code diffs (i.e., code...
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02/14/2022
What Do They Capture? – A Structural Analysis of Pre-Trained Language Models for Source Code
Recently, many pre-trained language models for source code have been pro...
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02/14/2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Logs provide first-hand information for engineers to diagnose failures i...
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02/09/2022
Log-based Anomaly Detection with Deep Learning: How Far Are We?
Software-intensive systems produce logs for troubleshooting purposes. Re...
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01/19/2022
Cross-Language Binary-Source Code Matching with Intermediate Representations
Binary-source code matching plays an important role in many security and...
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01/09/2022
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
To ensure the performance of online service systems, their status is clo...
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01/01/2022
Cross-Domain Deep Code Search with Few-Shot Meta Learning
Recently, pre-trained programming language models such as CodeBERT have ...
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11/21/2021
Challenging Machine Learning-based Clone Detectors via Semantic-preserving Code Transformations
Software clone detection identifies similar code snippets. It has been a...
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10/05/2021
LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection
Log analysis is an important technique that engineers use for troublesho...
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08/30/2021
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Code summarization aims to generate concise natural language description...
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08/27/2021
Graph-based Incident Aggregation for Large-Scale Online Service Systems
As online service systems continue to grow in terms of complexity and vo...
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08/04/2021
Log-based Anomaly Detection Without Log Parsing
Software systems often record important runtime information in system lo...
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07/15/2021
Neural Code Summarization: How Far Are We?
Source code summaries are important for the comprehension and maintenanc...
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07/12/2021
On the Evaluation of Commit Message Generation Models: An Experimental Study
Commit messages are natural language descriptions of code changes, which...
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07/05/2021
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network
Source code summaries are short natural language descriptions of code sn...
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03/29/2021
Embedding API Dependency Graph for Neural Code Generation
The problem of code generation from textual program descriptions has lon...
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02/14/2021
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization
Federated multi-task learning (FMTL) has emerged as a natural choice to ...
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12/19/2020
Confused Modulo Projection based Somewhat Homomorphic Encryption – Cryptosystem, Library and Applications on Secure Smart Cities
With the development of cloud computing, the storage and processing of m...
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12/02/2020
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning
Code retrieval is a common practice for programmers to reuse existing co...
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07/31/2020
Language Modelling for Source Code with Transformer-XL
It has been found that software, like natural language texts, exhibits "...
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12/27/2019
IS Attention All What You Need? – An Empirical Investigation on Convolution-Based Active Memory and Self-Attention
The key to a Transformer model is the self-attention mechanism, which al...
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04/25/2017
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
Computer programs written in one language are often required to be porte...
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03/15/2017