Publications

F. Hadadi, J.H. Dawes, D. Shin, D. Bianculli, and L. Briand, "Systematic Evaluation of Deep Learning Models for Failure Prediction," Empirical Software Engineering (Springer), 2024, Preprint: arXiv:2303.07230.

Z. Aghababaeyan, M. Abdellatif, M. Dadkhah, and L. Briand, "DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks," ACM Transactions on Software Engineering and Methodology, 2024, Preprint: arXiv:2303.04878.

S. Sharifi, D. Shin, L. Briand, and N. Aschbacher, "Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search," IEEE Transactions on Software Engineering, 2023, Preprint: arXiv:2301.13807.

J. Lee, S. Shin, L. Briand, S. Nejati, "Probabilistic Safe WCET Estimation for Weakly Hard Real-Time Systems at Design Stages," ACM Transactions on Software Engineering and Methodology, 2023, Preprint: arXiv:2302.10288

A. Zolfagharian, M. Abdellatif, L. Briand, M. Bagherzadeh and Ramesh S, "A Search-Based Testing Approach for Deep Reinforcement Learning Agents", IEEE Transactions on Software Engineering, 2023, doi: 10.1109/TSE.2023.3269804.

N. Bayati Chaleshtari, F. Pastore, A. Goknil, and L. Briand, "Metamorphic Testing for Web System Security", IEEE Transactions on Software Engineering, 2023, Preprint,  doi: 10.1109/TSE.2023.3256322.

Ch. Boufaied, C. Menghi, D. Bianculli, and L. Briand, "Trace Diagnostics for Signal-based Temporal Properties.", IEEE Transactions on Software Engineering, 2023, doi: 10.1109/TSE.2023.3242588

Z. Aghababaeyan, M. Abdellatif, L. Briand, Ramesh S, and M. Bagherzadeh, "Black-Box Testing of Deep Neural Networks through Test Case Diversity", IEEE Transactions on Software Engineering, 2023, doi: 10.1109/TSE.2023.3243522.

M. O. Attaoui, H. M. Fahmy, F. Pastore, L. C. Briand. "Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering." ACM Transactions on Software Engineering and Methodology, 2023. doi:10.1145/3550271

E. Viganò, O. Cornejo, F. Pastore, L. C. Briand. "Data-driven Mutation Analysis for Cyber-Physical Systems." IEEE Transactions on Software Engineering, 2023. doi:10.1109/TSE.2022.3213041

V. R. Basili, L. C. Briand. "Reflections on the Empirical Software Engineering journal." Empirical Software Engineering, 27(1): 6 (2022). doi:10.1007/s10664-021-10055-9

H. Belgacem, X. Li, D. Bianculli, L. C. Briand. "A Machine Learning Approach for Automated Filling of Data Entry Forms." ACM Transactions on Software Engineering and Methodology, 2022. doi:10.1145/3533021

D. Shin, D. Bianculli, L. C. Briand. "PRINS: scalable model inference for component-based system logs." Empirical Software Engineering, 27(4): 87 (2022). doi:10.1007/s10664-021-10111-4

F. Ul Haq, D. Shin, S. Nejati, L. C. Briand. "Correction to: Can Offline Testing of Deep Neural Networks Replace Their Online Testing?" Empirical Software Engineering, 27(6): 141 (2022). doi:10.1007/s10664-022-10172-z

J. Lee, S. Y. Shin, S. Nejati, L. C. Briand. "Optimal priority assignment for real-time systems: a coevolution-based approach." Empirical Software Engineering, 27(6): 142 (2022). doi:10.1007/s10664-022-10170-1

H. T. Le, L. K. Shar, D. Bianculli, L. C. Briand, C. D. Nguyen. "Automated reverse engineering of role-based access control policies of web applications." Journal of Systems and Software, 184: 111109 (2022). doi:10.1016/j.jss.2021.111109

C. D. Ngo, F. Pastore, L. C. Briand. "Automated, Cost-effective, and Update-driven App Testing." ACM Transactions on Software Engineering and Methodology, 31(4): 61:1-61:51 (2022). doi:10.1145/3502297

C. Wang, F. Pastore, A. Goknil, L. C. Briand. "Automatic Generation of Acceptance Test Cases From Use Case Specifications: An NLP-Based Approach." IEEE Transactions on Software Engineering, 48(2): 585-616 (2022). doi:10.1109/TSE.2020.2998503

K. Gaaloul, C. Menghi, S. Nejati, L. C. Briand, Y. I. Parache. "Combining Genetic Programming and Model Checking to Generate Environment Assumptions." IEEE Transactions on Software Engineering, 48(9): 3664-3685 (2022). doi:10.1109/TSE.2021.3101818

O. Cornejo, F. Pastore, L. C. Briand. "Mutation Analysis for Cyber-Physical Systems: Scalable Solutions and Results in the Space Domain." IEEE Transactions on Software Engineering, 48(10): 3913-3939 (2022). doi:10.1109/TSE.2021.3107680

O. Amaral, S. Abualhaija, D. Torre, M. Sabetzadeh, L. C. Briand. "AI-Enabled Automation for Completeness Checking of Privacy Policies." IEEE Transactions on Software Engineering, 48(11): 4647-4674 (2022). doi:10.1109/TSE.2021.3124332

S. Fatima, T. A. Ghaleb and L. Briand, "Flakify: A Black-Box, Language Model-Based Predictor for Flaky Tests", IEEE Transactions on Software Engineering, 2022,  doi: 10.1109/TSE.2022.3201209.

A. S. Yaraghi, M. Bagherzadeh, N. Kahani and L. Briand, "Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts", IEEE Transactions on Software Engineering, 2022,  doi: 10.1109/TSE.2022.3184842.

R. Pan, M. Bagherzadeh, T.A. Ghaleb, and L. Briand, "Test case selection and prioritization using machine learning: a systematic literature review", Empirical Software Engineering (Springer), 27 (2), 1-43, 2022, doi:10.1007/s10664-021-10066-6 

M. Bagherzadeh, N. Kahani and L. Briand, "Reinforcement learning for test case prioritization.", IEEE Transactions on Software Engineering, 2021, doi: 10.1109/TSE.2021.3070549 

A. Sleimi, N. Sannier, M. Sabetzadeh, L. Briand, M. Ceci, J. Dann, "An automated framework for the extraction of semantic legal metadata from legal texts.", Empirical Software Engineering 26(3): 43 ,2021, doi: 10.1007/s10664-020-09933-5 

A. Veizaga, M. Alférez, D. Torre, M. Sabetzadeh, L. Briand, "On systematically building a controlled natural language for functional requirements.", Empirical Software Engineering 26(4): 79, 2021, doi: 10.1007/s10664-021-09956-6 

F. Ul Haq, D. Shin, S. Nejati, L. Briand, "Can Offline Testing of Deep Neural Networks Replace Their Online Testing?", Empirical Software Engineering 26(5): 90 ,2021, doi: 10.1007/s10664-022-10172-z 

S. Y. Shin, K. Chaouch, S. Nejati, M. Sabetzadeh, L. Briand, F. Zimmer, "Uncertainty-aware specification and analysis for hardware-in-the-loop testing of cyber-physical systems.", Journal of Systems and Software 171: 110813, 2021, doi: 10.1016/j.jss.2020.110813 

C. Boufaied, M. Jukss, D. Bianculli, L. Briand, Y. I. Parache, "Signal-Based Properties of Cyber-Physical Systems: Taxonomy and Logic-based Characterization.", Journal of Systems and Software 174: 110881, 2021, doi: 10.1016/j.jss.2020.110881

D. Torre, M. Alférez, G. Soltana, Mehrdad Sabetzadeh, Lionel C. Briand, "Modeling data protection and privacy: application and experience with GDPR." ,  Software and Systems Modeling 20(6): 2071-2087, 2021, doi: 10.1007/s10270-021-00935-5 

H. Fahmy, F. Pastore, M. Bagherzadeh, L. Briand, "Supporting Deep Neural Network Safety Analysis and Retraining Through Heatmap-Based Unsupervised Learning.", IEEE Transactions on Reliability 70(4): 1641-1657, 2021, doi: 10.1109/TR.2021.3074750 

N. Amálio, L. Briand, P. Kelsen, "An experimental scrutiny of visual design modelling: VCL up against UML+OCL.", Empir. Softw. Eng. 25(2): 1205-1258 , 2020, doi: 10.1007/s10664-019-09784-9 

N. Amálio, L. Briand, P. Kelsen, "An experimental scrutiny of visual design modelling: VCL up against UML+OCL." Empir. Softw. Eng. 25(2): 1205-1258 ,2020, doi: 10.1007/s10664-019-09784-9 

S. Bettaieb, S. Yeob Shin, M. Sabetzadeh, L. Briand, M. Garceau, A. Meyers, "Using machine learning to assist with the selection of security controls during security assessment." Empirical Software Engineering. 25(4): 2550-2582 ,2020, doi: 10.1007/s10664-020-09814-x 

I. Hajri, A. Goknil, F. Pastore, L. Briand, "Automating system test case classification and prioritization for use case-driven testing in product lines. Empirical Software Engineering. 25(5): 3711-3769, 2020, doi:10.1007/s10664-020-09853-4 

S. Abualhaija, C. Arora, M. Sabetzadeh, L. Briand, M. Traynor, "Automated demarcation of requirements in textual specifications: a machine learning-based approach.", Empirical Software Engineering. 25(6): 5454-5497, 2020, doi: 10.1007/s10664-020-09864-1 

G. Soltana, Mehrdad Sabetzadeh, L. Briand, "Practical Constraint Solving for Generating System Test Data.", ACM Transactions on Software Engineering and Methodology. 29(2): 11:1-11:48 ,2020, doi: 10.1145/3381032 

J. Thomé, L. K. Shar, D. Bianculli, L. Briand, "An Integrated Approach for Effective Injection Vulnerability Analysis of Web Applications Through Security Slicing and Hybrid Constraint Solving." IEEE Transactions on Software Engineering. 46(2): 163-195 ,2020, doi: 10.1109/TSE.2018.2844343 

J. Lee, E. Vigano, F. Pastore, L. Briand, "MOTIF: A tool for Mutation Testing with Fuzzing Testing Tools and Demonstration," in IEEE ICST, 2024, arXiv:2406.02398.

J. Lee, E. Vigano, O Cornejo, F. Pastore, L. Briand, "Fuzzing for CPS Mutation Testing," in IEEE/ACM ASE, 2023, doi:10.1109/ASE56229.2023.00079. 

R. Pan, T.A. Ghaleb, and L. Briand, "ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolutionary Search," in ACM/IEEE ICSE, 2023, arXiv:2210.16269.

F. U. Haq, D. Shin, and L. Briand, "Many-objective reinforcement learning for online testing of DNN-enabled systems," in ACM/IEEE ICSE, 2023, arXiv:2210.15432.

H. M. Fahmy, F. Pastore, L. C. Briand. "HUDD: A tool to debug DNNs for safety analysis." ICSE-Companion 2022: 100-104. doi:10.1109/ICSE-Companion55297.2022.9793750

H. M. Fahmy, F. Pastore, L. C. Briand. "Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems." ACM Transactions on Software Engineering and Methodology, 2023. doi:10.1145/3569935

O. Cornejo, F. Pastore, L. C. Briand. "MASS: A tool for Mutation Analysis of Space CPS." ICSE-Companion 2022: 134-138. doi:10.1109/ICSE-Companion55297.2022.9793738

R. Ollando, S. Y. Shin, L. C. Briand. "Learning Failure-Inducing Models for Testing Software-Defined Networks." Proceedings of the 2022 ACM/IEEE International Conference, 2022. doi:10.1145/3641541

Z. A. Khan, D. Shin, D. Bianculli, L. C. Briand. "Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques." ICSE 2022: 1095-1106. doi:10.1145/3510003.3510101

C. D. Ngo, F. Pastore, L. C. Briand. "ATUA: an update-driven app testing tool." ISSTA 2022: 765-768. doi:10.1145/3533767.3543293

S. Abualhaija, C. Arora, A. Sleimi, L. C. Briand. "Automated Question Answering for Improved Understanding of Compliance Requirements: A Multi-Document Study." RE 2022: 39-50. doi:10.1109/RE54965.2022.00011

S. Abualhaija, C. Arora, L. C. Briand. "COREQQA: a COmpliance REQuirements understanding using question answering tool." ESEC/SIGSOFT FSE 2022: 1682-1686. doi:10.1145/3540250.3558926

F. U. Haq, D. Shin, and L. Briand, "Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization." in ACM/IEEE ICSE, 2022, doi:10.1145/3510003.3510188.

Z. A. Khan, D. Shin, D. Bianculli, L. Briand, "Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques.", ICSE 2022: 1095-1106, doi: 10.1145/3510003.3510101 

C. D. Ngo, F. Pastore, L. Briand, "ATUA: an update-driven app testing tool." ISSTA 2022: 765-768. doi:10.5281/zenodo.5734090 

S. Abualhaija, C. Arora, A. Sleimi, L. Briand, "Automated Question Answering for Improved Understanding of Compliance Requirements: A Multi-Document Study." RE 2022: 39-50. doi:10.1109/RE54965.2022.00011 

S. Abualhaija, C. Arora, L. Briand, "COREQQA: a COmpliance REQuirements understanding using question answering tool." ESEC/SIGSOFT FSE 2022: 1682-1686. doi: 10.1145/3540250.3558926 

C. Menghi, E. Viganò, D. Bianculli, L. Briand, "ThEodorE: a Trace Checker for CPS Properties." ICSE (Companion Volume) 2021: 183-184. doi:10.1109/ICSE-Companion52605.2021.00079 

S. Ezzini, S. Abualhaija, C. Arora, M. Sabetzadeh, L. Briand, "MAANA: An Automated Tool for DoMAin-Specific HANdling of Ambiguity." ICSE (Companion Volume) 2021: 188-189. doi:10.1109/ICSE-Companion52605.2021.00082 

F. Ul Haq, D. Shin, L. Briand, T. Stifter, Jun Wang, "Automatic test suite generation for key-points detection DNNs using many-objective search (experience paper)." ISSTA 2021: 91-102. doi: 10.1145/3460319.3464802 

Salma Messaoudi, Donghwan Shin, Annibale Panichella, Domenico Bianculli, Lionel C. Briand "Log-based slicing for system-level test cases." ISSTA 2021: 517-528. doi: 10.1145/3460319.3464824 

O. Amaral, S. Abualhaija, M. Sabetzadeh, L. Briand, "A Model-based Conceptualization of Requirements for Compliance Checking of Data Processing against GDPR." RE Workshops 2021: 16-20. doi: 10.1109/REW53955.2021.00009 

Donghwan Shin, Zanis Ali Khan, Domenico Bianculli, Lionel C. Briand, "A Theoretical Framework for Understanding the Relationship Between Log Parsing and Anomaly Detection." RV 2021: 277-287. doi: 10.1007/978-3-030-88494-9_16 

P. X. Mai, A. Goknil, F. Pastore, L. Briand, "SMRL: a metamorphic security testing tool for web systems.", ICSE (Companion Volume) 2020: 9-12. doi: 10.1145/3377812.3382152 

S. Yeob Shin, S. Nejati, M. Sabetzadeh, L. Briand, C. Arora, F. Zimmer, "Dynamic adaptation of software-defined networks for IoT systems: a search-based approach.", SEAMS@ICSE 2020: 137-148. doi: 10.1145/3387939.3391603

C. Menghi, S. Nejati, L. Briand, Y. I. Parache, "Approximation-refinement testing of compute-intensive cyber-physical models: an approach based on system identification.", ICSE 2020: 372-384. doi: 10.1145/3377811.3380370 

Mojdeh Golagha, Alexander Pretschner, Lionel C. Briand, "Can We Predict the Quality of Spectrum-based Fault Localization?" ICST 2020: 4-15. doi: 10.1109/ICST46399.2020.00012 

F. Ul Haq, D. Shin, S. Nejati, L. Briand, "Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study.", ICST 2020: 85-95. doi: 10.1109/ICST46399.2020.00019 

P. X. Mai, F. Pastore, A. Goknil, L. Briand, "Metamorphic Security Testing for Web Systems." ICST 2020: 186-197. doi: 10.1109/ICST46399.2020.00028 

R. Ben Abdessalem, A. Panichella, S. Nejati, L. Briand, T. Stifter, "Automated repair of feature interaction failures in automated driving systems." ISSTA 2020: 88-100. doi: 10.1145/3395363.3397386 

C. Boufaied, C. Menghi, D. Bianculli, L. Briand, Y. Isasi Parache, "Trace-Checking Signal-based Temporal Properties: A Model-Driven Approach." ASE 2020: 1004-1015. doi: 10.1145/3324884.3416631 

A. Veizaga, M. Alférez, D. Torre, M. Sabetzadeh, L. Briand, E. Pitskhelauri: "Leveraging natural-language requirements for deriving better acceptance criteria from models." MoDELS 2020: 218-228. doi: 10.1145/3365438.3410953 

D. Torre, S. Abualhaija, M. Sabetzadeh, L. Briand, K. Baetens, P. Goes, S. Forastier: "An AI-assisted Approach for Checking the Completeness of Privacy Policies Against GDPR." RE 2020: 136-146. doi: 10.1109/RE48521.2020.00025 

A. Sleimi, M. Ceci, M. Sabetzadeh, L. Briand, J. Dann: "Automated Recommendation of Templates for Legal Requirements." RE 2020: 158-168. doi: 10.1109/RE48521.2020.00027 

Khouloud Gaaloul, Claudio Menghi, Shiva Nejati, Lionel C. Briand, David Wolfe: "Mining assumptions for software components using machine learning." ESEC/SIGSOFT FSE 2020: 159-171. doi: 10.1145/3368089.3409737 

S. Sharifi, A. Stocco, L. Briand, "System Safety Monitoring of Learned Components Using Temporal Metric Forecasting," in arXiv, 2024, arXiv:2405.13254.

N. Bayati Chaleshtari, Y. Marquer, F. Pastore, and L. Briand, "AIM: Automated Input Set Minimization for Metamorphic Security Testing," in arXiv, 2024, arxiv:2402.10773.

A. S. Yaraghi, D. Holden, N. Kahani, L. Briand, "Automated Test Case Repair Using Language Models," in arXiv, 2024, arxiv:2401.06765.

R. Pan, T.A. Ghaleb, and L. Briand, "LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models," in arXiv, 2023, arXiv:2304.01397.

S. Fatima, H. Hemmati, and L. Briand, "FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair," in arXiv, 2023, arXiv:2307.00012.

S. Ali, C. Boufaied, D. Bianculli, P. Branco, L. Briand, and N. Aschbacher , "An Empirical Study on Log-based Anomaly Detection Using Machine Learning," in arXiv, 2023, arXiv:2307.16714.

A. Abbasishahkoo, M. Dadkhah, L. Briand, and D. Lin, "TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis," in arXiv, 2023, arXiv:2308.01311.

A. Zolfagharian, M. Abdellatif, L. Briand, and Ramesh S, "SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents," in arXiv, 2023, arXiv:2308.02594.