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09/21/2023
Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing
WebAssembly (Wasm) is a bytecode format originally serving as a compilat...
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09/19/2023
Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System
In-memory caching systems are fundamental building blocks in cloud servi...
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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...
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09/14/2023
Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools
Neural Code Completion Tools (NCCTs) have reshaped the field of software...
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08/21/2023
A Large-scale Benchmark for Log Parsing
Log data is pivotal in activities like anomaly detection and failure dia...
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08/19/2023
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
As modern software systems continue to grow in terms of complexity and v...
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08/18/2023
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software
The exponential growth of social media platforms has brought about a rev...
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08/18/2023
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control
As the model size of pre-trained language models (PLMs) grows rapidly, f...
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08/18/2023
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection
The rapid progress of modern computing systems has led to a growing inte...
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08/15/2023
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion
Ensuring the reliability and user satisfaction of cloud services necessi...
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08/15/2023
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems
Ensuring the reliability of cloud systems is critical for both cloud ven...
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08/13/2023
Towards Modeling Software Quality of Virtual Reality Applications from Users' Perspectives
Virtual Reality (VR) technology has become increasingly popular in recen...
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08/09/2023
CLEVA: Chinese Language Models EVAluation Platform
With the continuous emergence of Chinese Large Language Models (LLMs), h...
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08/07/2023
Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench
Recently, the community has witnessed the advancement of Large Language ...
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07/18/2023
Generative Type Inference for Python
Python is a popular dynamic programming language, evidenced by its ranki...
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07/12/2023
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study
Automated logging statement generation techniques facilitate developers ...
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06/14/2023
On the Robustness of Latent Diffusion Models
Latent diffusion models achieve state-of-the-art performance on a variet...
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06/08/2023
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop
System logs play a critical role in maintaining the reliability of softw...
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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...
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05/31/2023
ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models
Large Language Models (LLMs) have made remarkable advancements in the fi...
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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...
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03/28/2023
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization
Vision transformers (ViTs) have been successfully deployed in a variety ...
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03/28/2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
Deep neural networks have achieved unprecedented success on diverse visi...
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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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02/14/2023
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention
Prompt and accurate detection of system anomalies is essential to ensure...
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02/10/2023
Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data
The complexity and dynamism of microservices pose significant challenges...
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01/24/2023
FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version)
Distributed in-memory key-value (KV) stores are embracing the disaggrega...
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12/25/2022
An Adaptive Resilience Testing Framework for Microservice Systems
Resilience testing, which measures the ability to minimize service degra...
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12/23/2022
Front-Running Attack Benchmark Construction and Vulnerability Detection Technique Evaluation
Front-running attacks have been a major concern on the blockchain. Attac...
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11/03/2022
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation
Recent advances in large-scale pre-training provide large models with th...
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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...
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08/28/2022
Managing Service Dependency for Cloud Reliability: The Industrial Practice
Interactions between cloud services result in service dependencies. Eval...
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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...
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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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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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06/22/2022
Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning
Prompt and accurate detection of system anomalies is essential to ensure...
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05/21/2022
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
Keyphrase generation is the task of automatically predicting keyphrases ...
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05/20/2022
Understanding and Mitigating the Uncertainty in Zero-Shot Translation
Zero-shot translation is a promising direction for building a comprehens...
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05/13/2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
Due to the labor-intensive nature of manual test oracle construction, va...
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04/15/2022
Text Revision by On-the-Fly Representation Optimization
Text revision refers to a family of natural language generation tasks, w...
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04/13/2022
Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems
Alerts are crucial for requesting prompt human intervention upon cloud a...
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03/31/2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Deep neural networks (DNNs) are known to be vulnerable to adversarial ex...
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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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02/14/2022
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows
Despite recent progress in open-domain dialogue evaluation, how to devel...
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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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01/05/2022
ARCLIN: Automated API Mention Resolution for Unformatted Texts
Online technical forums (e.g., StackOverflow) are popular platforms for ...
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12/23/2021
SemParser: A Semantic Parser for Log Analysis
Logs, being run-time information automatically generated by software, re...
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09/30/2021
Towards Efficient Post-training Quantization of Pre-trained Language Models
Network quantization has gained increasing attention with the rapid grow...
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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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08/20/2021