Search Results - "Proceedings - International Symposium on Software Reliability Engineering"

Experience Report: System Log Analysis for Anomaly Detection by Shilin He, Jieming Zhu, Pinjia He, Lyu, Michael R.

“…Anomaly detection plays an important role in management of modern large-scale distributed systems. Logs, which record system runtime information, are widely…”
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Experience Report: Log Mining Using Natural Language Processing and Application to Anomaly Detection by Bertero, Christophe, Roy, Matthieu, Sauvanaud, Carla, Tredan, Gilles

“…Event logging is a key source of information on a system state. Reading logs provides insights on its activity, assess its correct state and allows to diagnose…”
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Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports by Xinli Yang, Lo, David, Xin Xia, Lingfeng Bao, Jianling Sun

“…Similar bugs are bugs that require handling of many common code files. Developers can often fix similar bugs with a shorter time and a higher quality since…”
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LLMeLog: An Approach for Anomaly Detection based on LLM-enriched Log Events by He, Minghua, Jia, Tong, Duan, Chiming, Cai, Huaqian, Li, Ying, Huang, Gang

“…Log-based anomaly detection is an essential task in maintaining software reliability. Existing log-based anomaly detection approaches often consist of three…”
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Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics by Zhu, Jieming, He, Shilin, He, Pinjia, Liu, Jinyang, Lyu, Michael R.

“…Logs have been widely adopted in software system development and maintenance because of the rich runtime information they record. In recent years, the increase…”
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LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning by Lu, Junyi, Yu, Lei, Li, Xiaojia, Yang, Li, Zuo, Chun

“…The automation of code review activities, a long-standing pursuit in software engineering, has been primarily addressed by numerous domain-specific pre-trained…”
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Assessing the Performance of AI-Generated Code: A Case Study on GitHub Copilot by Li, Shuang, Cheng, Yuntao, Chen, Jinfu, Xuan, Jifeng, He, Sen, Shang, Weiyi

“…The integration of Large Language Models (LLMs) into software development tools like GitHub Copilot holds the promise of transforming code generation…”
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Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-training Techniques by Wu, Hongjun, Zhang, Zhuo, Wang, Shangwen, Lei, Yan, Lin, Bo, Qin, Yihao, Zhang, Haoyu, Mao, Xiaoguang

“…Smart contracts with natural economic attributes have been widely and rapidly developed in various fields. However, the bugs and vulnerabilities in smart…”
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Integrating GraphSAGE and Mamba for Self-Supervised Spatio-Temporal Fault Detection in Microservice Systems by Zhang, Shenglin, Li, Yingke, Tang, Jianjin, Zhao, Chenyu, Gu, Wenwei, Sun, Yongqian, Pei, Dan

“…Monitoring and fault detection in microservice systems is crucial for ensuring service stability. However, most existing methods either rely heavily on labeled…”
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Exploiting the Availability-Continuity Trade-off in Imperfect Retraining of Machine Learning Systems by Wang, Zhengji, Machida, Fumio

“…Machine Learning Systems (MLSs) often combine diverse models to achieve complex objectives but face performance degradation due to dataset shifts. Regular…”
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Prepared for the Unknown: Adapting AIOps Capacity Forecasting Models to Data Changes by Poenaru-Olaru, Lorena, van 't Hof, Wouter, Stando, Adrian, Trawinski, Arkadiusz P., Kapel, Eileen, Rellermeyer, Jan S., Cruz, Luis, van Deursen, Arie

“…Capacity management is critical for software organizations to allocate resources effectively and meet operational demands. An important step in capacity…”
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ZeroLog: Zero-Label Generalizable Cross-System Log-based Anomaly Detection by Zhao, Xinlong, Jia, Tong, He, Minghua, Li, Ying, Huang, Gang

“…Log-based anomaly detection is an important task in ensuring the stability and reliability of software systems. One of the key problems in this task is the…”
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A Cascaded Pipeline for Self-Directed, Model-Agnostic Unit Test Generation via LLMs by Ni, Chao, Wang, Xiaoya, Yin, Xin, Chen, Liushan, Ma, Guojun

“…While existing ML-based unit test generation methods show promising results, they face three key limitations: (1) incomplete test case generation with…”
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Unleashing the Efficiency of Rust: An Empirical Study of Performance Bugs in Rust Projects by Cui, Chenhao, Xu, Hui

“…Rust is a system programming language that emphasizes both efficiency and memory safety. It achieves comparable efficiency with C/C++ by pursuing the concept…”
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ISGraphVD: Precise Vulnerability Detection for IoT Supply Chains Based on Identifier Sensitive Graph by Zhang, Yingli, Liu, Xin, Liu, Ziang, Li, Song, Li, Nan, Niu, Weina, Zhou, Rui, Zhou, Qingguo

“…Open-source software (OSS) is widely reused in Internet of Things (IoT) devices, leading to widespread N-Day vulnerabilities when outdated components remain…”
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Reliable Version Merging Based on Deep Semantic and logical Understanding of Critical Context by Fan, Mengdan, Zhang, Wei, Zhao, Haiyan, Jin, Zhi

“…Although existing automated merging tools have made efforts in merging displayed text and syntactic conflicts, the deep logical and semantic conflicts that do…”
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Robustness Assessment of the Open vSwitch Kernel Module by Flauzino, Jose, Vieira, Marco, Duarte, Elias P.

“…Open vSwitch is a software implementation of a multilayer switch designed for virtualized environments. Its architecture includes components in both user and…”
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CSLParser: A Collaborative Framework Using Small and Large Language Models for Log Parsing by Hong, Weijie, Wu, Yifan, Zhang, Lingzhe, Duan, Chiming, Xiao, Pei, He, Minghua, Yang, Xixuan, Li, Ying

“…Log parsing is a prerequisite for log analysis. Recently, large language models (LLMs) have demonstrated high accuracy in log parsing. However, their frequent…”
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Detecting Dependability Failures in Healthcare Scenarios via Digital Shadows by Guindani, Bruno, Camilli, Matteo, Lestingi, Livia, Bersani, Marcello Maria

“…In healthcare systems, practitioners are responsible for making decisions when a patient's health, or even life, are at stake. Real-time data-driven modeling,…”
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Breaking Task Isolation: Enhancing Code Review Automation with Mixture-of-Experts Large Language Models by Tang, Jiayue, Yang, Li, Yu, Lei, Lu, Junyi, Huang, Zhirong, Zhang, Fengjun, Zuo, Chun

“…The automation of code review activities has emerged as a critical research focus for optimizing development efficiency while ensuring code quality. While…”
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