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Lionel Briand

university of limerick

82H-index
629Paper Count
2.9WCitation Count
Published Papers 126
Publication Date
Classifier or prompt: A case study on legal requirements traceability
err2026-03-02
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PREAI
errRomina Etezadi; Sallam Abualhaija; Chetan Arora; Lionel Briand
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Stress Testing Control Loops in Cyber-Physical Systems—RCR Report
err2025-10-17
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errOAAI
errClaudio Mandrioli; Seung Yeob Shin; Martina Maggio; Domenico Bianculli; Lionel Briand
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MetaSel: A Test Selection Approach for Fine-Tuned DNN Models
err2025-09-22
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PREAI
errAmin Abbasishahkoo; Mahboubeh Dadkhah; Lionel Briand; Dayi Lin
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A comprehensive study of machine learning techniques for log-based anomaly detection
err2025-06-23
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errOAAI
errShan Ali; Chaima Boufaied; Domenico Bianculli; Paula Branco; Lionel Briand
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SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
err2025-01-01
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PREAI
errZolfagharian, Amirhossein; Abdellatif, Manel; Briand, Lionel C.; Ramesh, S.
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Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study
err2024-12-01
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PREAI
errLi, Yichen; Huo, Yintong; Jiang, Zhihan; Zhong, Renyi; He, Pinjia; Su, Yuxin; Briand, Lionel C.; Lyu, Michael R.
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AIM: Automated Input Set Minimization for Metamorphic Security Testing
err2024-12-01
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errOAAI
errChaleshtari, Nazanin Bayati; Marquer, Yoann; Pastore, Fabrizio; Briand, Lionel C.
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TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks
err2024-12-01
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PREAI
errAbbasishahkoo, Amin; Dadkhah, Mahboubeh; Briand, Lionel; Lin, Dayi
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Impact of log parsing on deep learning-based anomaly detection
err2024-08-17
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errOAAI
errKhan, Zanis Ali; Shin, Donghwan; Bianculli, Domenico; Briand, Lionel C.
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Testing Updated Apps by Adapting Learned Models
err2024-06-29
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errOAAI
errNgo, Chanh Duc; Pastore, Fabrizio; Briand, Lionel
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DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
err2024-06-27
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errOAAI
errAghababaeyan, Zohreh; Abdellatif, Manel; Dadkhah, Mahboubeh; Briand, Lionel
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Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction
err2024-06-20
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errOAAI
errHadadi, Fatemeh; Dawes, Joshua H.; Shin, Donghwan; Bianculli, Domenico; Briand, Lionel
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