output
20082026
most citedDevelopment of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building

60 citations

Showing cs.SEShow all

7 papers · 1 filter

cs.SE2025

From Online User Feedback to Requirements: Evaluating Large Language Models for Classification and Specification Tasks

Manjeshwar Aniruddh Mallya, Alessio Ferrari, Mohammad Amin Zadenoori +1

[Context and Motivation] Online user feedback provides valuable information to support requirements engineering (RE). However, analyzing online user feedback is challenging due to…

cs.SE2025

Constrained Co-evolutionary Metamorphic Differential Testing for Autonomous Systems with an Interpretability Approach

Hossein Yousefizadeh, Shenghui Gu, Lionel C. Briand +1

Autonomous systems, such as autonomous driving systems, evolve rapidly through frequent updates, risking unintended behavioral degradations. Effective system-level testing is chall…

cs.SE2025★ 3 cited

Hallucination to Consensus: Multi-Agent LLMs for End-to-End JUnit Test Generation

Qinghua Xu, Guancheng Wang, Lionel Briand +1

Unit testing plays a critical role in ensuring software correctness. However, writing unit tests manually is labor-intensive, especially for strongly typed languages like Java, mot…

cs.SE2024★ 3 cited

LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs

Fatemeh Hadadi, Qinghua Xu, Domenico Bianculli +1

Most log-based anomaly detectors assume logs are stable, though logs are often unstable due to software or environmental changes. Anomaly detection on unstable logs (ULAD) is there…

cs.SE2023★ 43 cited

Impact of Log Parsing on Deep Learning-Based Anomaly Detection

Zanis Ali Khan, Donghwan Shin, Domenico Bianculli +1

Software systems log massive amounts of data, recording important runtime information. Such logs are used, for example, for log-based anomaly detection, which aims to automatically…

cs.SE2023★ 17 cited

Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction

Fatemeh Hadadi, Joshua H. Dawes, Donghwan Shin +2

With the increasing complexity and scope of software systems, their dependability is crucial. The analysis of log data recorded during system execution can enable engineers to auto…