default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLionel C. Briand
Lionel Claude Briand
Person information
- affiliation: University of Luxembourg
- affiliation: University of Ottawa, Ottawa, Canada
- affiliation (former): Carleton University, Ottawa, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j184]Fatemeh Hadadi
, Joshua Heneage Dawes, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction. Empir. Softw. Eng. 29(5): 105 (2024)- [j183]Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Impact of log parsing on deep learning-based anomaly detection. Empir. Softw. Eng. 29(6): 139 (2024) - [j182]Jaekwon Lee, Seung Yeob Shin, Lionel C. Briand, Shiva Nejati:
Probabilistic Safe WCET Estimation for Weakly Hard Real-time Systems at Design Stages. ACM Trans. Softw. Eng. Methodol. 33(2): 32:1-32:34 (2024) - [j181]Claudio Mandrioli, Seung Yeob Shin, Martina Maggio, Domenico Bianculli, Lionel C. Briand:
Stress Testing Control Loops in Cyber-physical Systems. ACM Trans. Softw. Eng. Methodol. 33(2): 35:1-35:58 (2024) - [j180]Hichem Belgacem, Xiaochen Li, Domenico Bianculli, Lionel C. Briand:
Learning-based Relaxation of Completeness Requirements for Data Entry Forms. ACM Trans. Softw. Eng. Methodol. 33(3): 77:1-77:32 (2024) - [j179]Raphaël Ollando, Seung Yeob Shin, Lionel C. Briand:
Learning Failure-Inducing Models for Testing Software-Defined Networks. ACM Trans. Softw. Eng. Methodol. 33(5): 113:1-113:25 (2024) - [j178]Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches. ACM Trans. Softw. Eng. Methodol. 33(5): 130:1-130:48 (2024) - [j177]Chanh Duc Ngo, Fabrizio Pastore, Lionel C. Briand:
Testing Updated Apps by Adapting Learned Models. ACM Trans. Softw. Eng. Methodol. 33(6): 155 (2024) - [j176]Zohreh Aghababaeyan, Manel Abdellatif, Mahboubeh Dadkhah, Lionel C. Briand:
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 33(6): 158 (2024) - [j175]Alvaro Veizaga, Seung Yeob Shin, Lionel C. Briand:
Automated Smell Detection and Recommendation in Natural Language Requirements. IEEE Trans. Software Eng. 50(4): 695-720 (2024) - [c248]Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel C. Briand:
SAFE: Safety Analysis and Retraining of DNNs. ICSE Companion 2024: 74-78 - [c247]Amirhossein Zolfagharian, Manel Abdellatif, Lionel C. Briand, Ramesh S.:
Safety Monitoring of Deep Reinforcement Learning Agents. ICSE Companion 2024: 286-287 - [c246]Jaekwon Lee, Enrico Viganò, Fabrizio Pastore, Lionel C. Briand:
MOTIF: A tool for Mutation Testing with Fuzzing. ICST 2024: 451-453 - [c245]Sallam Abualhaija, Marcello Ceci, Nicolas Sannier, Domenico Bianculli, Lionel C. Briand, Dirk A Zetzsche, Marco Bodellini:
AI-Enabled Regulatory Change Analysis of Legal Requirements. RE 2024: 5-17 - [c244]Marcello Ceci, Domenico Bianculli, Lionel C. Briand:
Defining a Model for Content Requirements from the Law: An Experience Report. RE 2024: 18-30 - [i68]Ahmadreza Saboor Yaraghi, Darren Holden, Nafiseh Kahani, Lionel C. Briand:
Automated Test Case Repair Using Language Models. CoRR abs/2401.06765 (2024) - [i67]Nazanin Bayati Chaleshtari, Yoann Marquer, Fabrizio Pastore, Lionel C. Briand:
AIM: Automated Input Set Minimization for Metamorphic Security Testing. CoRR abs/2402.10773 (2024) - [i66]Sepehr Sharifi, Andrea Stocco, Lionel C. Briand:
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting. CoRR abs/2405.13254 (2024) - [i65]Jaekwon Lee, Enrico Viganò, Fabrizio Pastore, Lionel C. Briand:
MOTIF: A tool for Mutation Testing with Fuzzing. CoRR abs/2406.02398 (2024) - [i64]Fatemeh Hadadi, Qinghua Xu, Domenico Bianculli, Lionel C. Briand:
Anomaly Detection on Unstable Logs with GPT Models. CoRR abs/2406.07467 (2024) - [i63]Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel C. Briand:
Search-based DNN Testing and Retraining with GAN-enhanced Simulations. CoRR abs/2406.13359 (2024) - 2023
- [j174]Jaekwon Lee, Seung Yeob Shin, Shiva Nejati, Lionel C. Briand, Yago Isasi Parache:
Estimating Probabilistic Safe WCET Ranges of Real-Time Systems at Design Stages. ACM Trans. Softw. Eng. Methodol. 32(2): 37:1-37:33 (2023) - [j173]Hichem Belgacem, Xiaochen Li, Domenico Bianculli, Lionel C. Briand:
A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms. ACM Trans. Softw. Eng. Methodol. 32(2): 47:1-47:40 (2023) - [j172]Mohammed Walid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering. ACM Trans. Softw. Eng. Methodol. 32(3): 79:1-79:40 (2023) - [j171]Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand, Thomas Stifter:
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems. ACM Trans. Softw. Eng. Methodol. 32(4): 104:1-104:47 (2023) - [j170]Ahmadreza Saboor Yaraghi, Mojtaba Bagherzadeh, Nafiseh Kahani, Lionel C. Briand:
Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts. IEEE Trans. Software Eng. 49(4): 1615-1639 (2023) - [j169]Sakina Fatima, Taher Ahmed Ghaleb, Lionel C. Briand:
Flakify: A Black-Box, Language Model-Based Predictor for Flaky Tests. IEEE Trans. Software Eng. 49(4): 1912-1927 (2023) - [j168]Enrico Viganò, Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
Data-Driven Mutation Analysis for Cyber-Physical Systems. IEEE Trans. Software Eng. 49(4): 2182-2201 (2023) - [j167]Chaima Boufaied, Claudio Menghi, Domenico Bianculli, Lionel C. Briand:
Trace Diagnostics for Signal-Based Temporal Properties. IEEE Trans. Software Eng. 49(5): 3131-3154 (2023) - [j166]Zohreh Aghababaeyan, Manel Abdellatif, Lionel C. Briand, Ramesh S., Mojtaba Bagherzadeh:
Black-Box Testing of Deep Neural Networks through Test Case Diversity. IEEE Trans. Software Eng. 49(5): 3182-3204 (2023) - [j165]Nazanin Bayati Chaleshtari, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Metamorphic Testing for Web System Security. IEEE Trans. Software Eng. 49(6): 3430-3471 (2023) - [j164]Amirhossein Zolfagharian, Manel Abdellatif, Lionel C. Briand, Mojtaba Bagherzadeh, Ramesh S.:
A Search-Based Testing Approach for Deep Reinforcement Learning Agents. IEEE Trans. Software Eng. 49(7): 3715-3735 (2023) - [j163]Orlando Amaral Cejas, Muhammad Ilyas Azeem, Sallam Abualhaija, Lionel C. Briand:
NLP-Based Automated Compliance Checking of Data Processing Agreements Against GDPR. IEEE Trans. Software Eng. 49(9): 4282-4303 (2023) - [j162]Sepehr Sharifi, Donghwan Shin, Lionel C. Briand, Nathan Aschbacher:
Identifying the Hazard Boundary of ML-Enabled Autonomous Systems Using Cooperative Coevolutionary Search. IEEE Trans. Software Eng. 49(12): 5120-5138 (2023) - [c243]Enrico Viganò, Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
DaMAT: A Data-driven Mutation Analysis Tool. ICSE Companion 2023: 165-169 - [c242]Rongqi Pan, Taher Ahmed Ghaleb, Lionel C. Briand:
ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolutionary Search. ICSE 2023: 1700-1711 - [c241]Fitash Ul Haq, Donghwan Shin, Lionel C. Briand:
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems. ICSE 2023: 1814-1826 - [c240]Jaekwon Lee, Enrico Viganò, Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
Fuzzing for CPS Mutation Testing. ASE 2023: 1377-1389 - [c239]Orlando Amaral, Sallam Abualhaija, Lionel C. Briand:
ML-Based Compliance Verification of Data Processing Agreements against GDPR. RE 2023: 53-64 - [i62]Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
DNN Explanation for Safety Analysis: an Empirical Evaluation of Clustering-based Approaches. CoRR abs/2301.13506 (2023) - [i61]Sepehr Sharifi, Donghwan Shin, Lionel C. Briand, Nathan Aschbacher:
Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search. CoRR abs/2301.13807 (2023) - [i60]Jaekwon Lee, Seung Yeob Shin, Lionel C. Briand, Shiva Nejati:
Probabilistic WCET Estimation for Weakly Hard Real-Time Systems. CoRR abs/2302.10288 (2023) - [i59]Claudio Mandrioli, Seung Yeob Shin, Martina Maggio, Domenico Bianculli, Lionel C. Briand:
Stress Testing of Design Assumptions in Cyper-Physical Systems: A Control Theory-Based Approach. CoRR abs/2302.13913 (2023) - [i58]Zohreh Aghababaeyan, Manel Abdellatif, Mahboubeh Dadkhah, Lionel C. Briand:
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks. CoRR abs/2303.04878 (2023) - [i57]Fatemeh Hadadi, Joshua Heneage Dawes, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Systematic Evaluation of Deep Learning Models for Failure Prediction. CoRR abs/2303.07230 (2023) - [i56]Rongqi Pan, Taher Ahmed Ghaleb, Lionel C. Briand:
LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models. CoRR abs/2304.01397 (2023) - [i55]Alvaro Veizaga, Seung Yeob Shin, Lionel C. Briand:
Automated Smell Detection and Recommendation in Natural Language Requirements. CoRR abs/2305.07097 (2023) - [i54]Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Impact of Log Parsing on Log-based Anomaly Detection. CoRR abs/2305.15897 (2023) - [i53]Sakina Fatima, Hadi Hemmati, Lionel C. Briand:
Black-Box Prediction of Flaky Test Fix Categories Using Language Models. CoRR abs/2307.00012 (2023) - [i52]Shan Ali, Chaima Boufaied, Domenico Bianculli, Paula Branco, Lionel C. Briand, Nathan Aschbacher:
An Empirical Study on Log-based Anomaly Detection Using Machine Learning. CoRR abs/2307.16714 (2023) - [i51]Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel C. Briand, Dayi Lin:
TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis. CoRR abs/2308.01311 (2023) - [i50]Amirhossein Zolfagharian, Manel Abdellatif, Lionel C. Briand, Ramesh S.:
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents. CoRR abs/2308.02594 (2023) - [i49]Chanh Duc Ngo, Fabrizio Pastore, Lionel C. Briand:
Testing Updated Apps by Adapting Learned Models. CoRR abs/2308.05549 (2023) - [i48]Jaekwon Lee, Enrico Viganò, Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
Fuzzing for CPS Mutation Testing. CoRR abs/2308.07949 (2023) - [i47]Hichem Belgacem, Xiaochen Li, Domenico Bianculli, Lionel C. Briand:
Learning-Based Relaxation of Completeness Requirements for Data Entry Forms. CoRR abs/2311.13517 (2023) - [i46]Sallam Abualhaija, Marcello Ceci, Lionel C. Briand:
Legal Requirements Analysis. CoRR abs/2311.13871 (2023) - 2022
- [j161]Victor R. Basili, Lionel C. Briand:
Reflections on the Empirical Software Engineering journal. Empir. Softw. Eng. 27(1): 6 (2022) - [j160]Rongqi Pan, Mojtaba Bagherzadeh, Taher Ahmed Ghaleb, Lionel C. Briand:
Test case selection and prioritization using machine learning: a systematic literature review. Empir. Softw. Eng. 27(2): 29 (2022) - [j159]Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
PRINS: scalable model inference for component-based system logs. Empir. Softw. Eng. 27(4): 87 (2022) - [j158]Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand:
Correction to: Can Offline Testing of Deep Neural Networks Replace Their Online Testing? Empir. Softw. Eng. 27(6): 141 (2022) - [j157]Jaekwon Lee, Seung Yeob Shin, Shiva Nejati, Lionel C. Briand:
Optimal priority assignment for real-time systems: a coevolution-based approach. Empir. Softw. Eng. 27(6): 142 (2022) - [j156]Ha Thanh Le, Lwin Khin Shar, Domenico Bianculli, Lionel Claude Briand, Cu Duy Nguyen:
Automated reverse engineering of role-based access control policies of web applications. J. Syst. Softw. 184: 111109 (2022) - [j155]Chanh Duc Ngo, Fabrizio Pastore, Lionel C. Briand:
Automated, Cost-effective, and Update-driven App Testing. ACM Trans. Softw. Eng. Methodol. 31(4): 61:1-61:51 (2022) - [j154]Chunhui Wang, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Automatic Generation of Acceptance Test Cases From Use Case Specifications: An NLP-Based Approach. IEEE Trans. Software Eng. 48(2): 585-616 (2022) - [j153]Mojtaba Bagherzadeh, Nafiseh Kahani, Lionel C. Briand:
Reinforcement Learning for Test Case Prioritization. IEEE Trans. Software Eng. 48(8): 2836-2856 (2022) - [j152]Khouloud Gaaloul, Claudio Menghi, Shiva Nejati, Lionel C. Briand, Yago Isasi Parache:
Combining Genetic Programming and Model Checking to Generate Environment Assumptions. IEEE Trans. Software Eng. 48(9): 3664-3685 (2022) - [j151]Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
Mutation Analysis for Cyber-Physical Systems: Scalable Solutions and Results in the Space Domain. IEEE Trans. Software Eng. 48(10): 3913-3939 (2022) - [j150]Orlando Amaral, Sallam Abualhaija, Damiano Torre, Mehrdad Sabetzadeh, Lionel C. Briand:
AI-Enabled Automation for Completeness Checking of Privacy Policies. IEEE Trans. Software Eng. 48(11): 4647-4674 (2022) - [c238]Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
HUDD: A tool to debug DNNs for safety analysis. ICSE-Companion 2022: 100-104 - [c237]Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
MASS: A tool for Mutation Analysis of Space CPS. ICSE-Companion 2022: 134-138 - [c236]Fitash Ul Haq, Donghwan Shin, Lionel C. Briand:
Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization. ICSE 2022: 811-822 - [c235]Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques. ICSE 2022: 1095-1106 - [c234]Chanh Duc Ngo, Fabrizio Pastore, Lionel C. Briand:
ATUA: an update-driven app testing tool. ISSTA 2022: 765-768 - [c233]Sallam Abualhaija, Chetan Arora, Amin Sleimi, Lionel C. Briand:
Automated Question Answering for Improved Understanding of Compliance Requirements: A Multi-Document Study. RE 2022: 39-50 - [c232]Sallam Abualhaija, Chetan Arora, Lionel C. Briand:
COREQQA: a COmpliance REQuirements understanding using question answering tool. ESEC/SIGSOFT FSE 2022: 1682-1686 - [d8]Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Replication package for "Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques". Zenodo, 2022
- [d7]Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand:
Benchmark suite for "An Integrated Approach for Effective Injection Vulnerability Analysis of Web Applications through Security Slicing and Hybrid Constraint Solving". IEEE DataPort, 2022 - [i45]Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering. CoRR abs/2201.05077 (2022) - [i44]Enrico Viganò, Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
Data-driven Mutation Analysis for Cyber-Physical Systems. CoRR abs/2201.10160 (2022) - [i43]Hichem Belgacem, Xiaochen Li, Domenico Bianculli, Lionel C. Briand:
A Machine Learning Approach for Automated Filling of Data Entry Forms. CoRR abs/2202.08572 (2022) - [i42]Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems. CoRR abs/2204.00480 (2022) - [i41]Chaima Boufaied, Claudio Menghi, Domenico Bianculli, Lionel C. Briand:
Trace Diagnostics for Signal-based Temporal Properties. CoRR abs/2206.04024 (2022) - [i40]Amirhossein Zolfagharian, Manel Abdellatif, Lionel C. Briand, Mojtaba Bagherzadeh, Ramesh S.:
Search-Based Testing Approach for Deep Reinforcement Learning Agents. CoRR abs/2206.07813 (2022) - [i39]Sallam Abualhaija, Chetan Arora, Lionel C. Briand:
COREQQA - A COmpliance REQuirements Understanding using Question Answering Tool. CoRR abs/2206.10233 (2022) - [i38]Nazanin Bayati Chaleshtari, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Metamorphic Testing for Web System Security. CoRR abs/2208.09505 (2022) - [i37]Orlando Amaral, Muhammad Ilyas Azeem, Sallam Abualhaija, Lionel C. Briand:
NLP-based Automated Compliance Checking of Data Processing Agreements against GDPR. CoRR abs/2209.09722 (2022) - [i36]Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
HUDD: A tool to debug DNNs for safety analysis. CoRR abs/2210.08356 (2022) - [i35]Fitash Ul Haq, Donghwan Shin, Lionel C. Briand:
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems. CoRR abs/2210.15432 (2022) - [i34]Raphaël Ollando, Seung Yeob Shin, Lionel C. Briand:
Learning Failure-Inducing Models for Testing Software-Defined Networks. CoRR abs/2210.15469 (2022) - [i33]Rongqi Pan, Taher Ahmed Ghaleb, Lionel C. Briand:
ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolutionary Search. CoRR abs/2210.16269 (2022) - 2021
- [j149]Amin Sleimi, Nicolas Sannier, Mehrdad Sabetzadeh, Lionel C. Briand, Marcello Ceci, John Dann:
An automated framework for the extraction of semantic legal metadata from legal texts. Empir. Softw. Eng. 26(3): 43 (2021) - [j148]Alvaro Veizaga, Mauricio Alférez, Damiano Torre, Mehrdad Sabetzadeh, Lionel C. Briand:
On systematically building a controlled natural language for functional requirements. Empir. Softw. Eng. 26(4): 79 (2021) - [j147]Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel Claude Briand:
Can Offline Testing of Deep Neural Networks Replace Their Online Testing? Empir. Softw. Eng. 26(5): 90 (2021) - [j146]Seung Yeob Shin, Karim Chaouch, Shiva Nejati, Mehrdad Sabetzadeh, Lionel C. Briand, Frank Zimmer:
Uncertainty-aware specification and analysis for hardware-in-the-loop testing of cyber-physical systems. J. Syst. Softw. 171: 110813 (2021) - [j145]Chaima Boufaied, Maris Jukss, Domenico Bianculli, Lionel Claude Briand, Yago Isasi Parache:
Signal-Based Properties of Cyber-Physical Systems: Taxonomy and Logic-based Characterization. J. Syst. Softw. 174: 110881 (2021) - [j144]Damiano Torre, Mauricio Alférez, Ghanem Soltana, Mehrdad Sabetzadeh, Lionel C. Briand:
Modeling data protection and privacy: application and experience with GDPR. Softw. Syst. Model. 20(6): 2071-2087 (2021) - [j143]Hazem M. Fahmy, Fabrizio Pastore, Mojtaba Bagherzadeh, Lionel C. Briand:
Supporting Deep Neural Network Safety Analysis and Retraining Through Heatmap-Based Unsupervised Learning. IEEE Trans. Reliab. 70(4): 1641-1657 (2021) - [c231]Claudio Menghi, Enrico Viganò, Domenico Bianculli, Lionel C. Briand:
ThEodorE: a Trace Checker for CPS Properties. ICSE (Companion Volume) 2021: 183-184 - [c230]Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand:
MAANA: An Automated Tool for DoMAin-Specific HANdling of Ambiguity. ICSE (Companion Volume) 2021: 188-189 - [c229]Claudio Menghi, Enrico Viganò, Domenico Bianculli, Lionel C. Briand:
Trace-Checking CPS Properties: Bridging the Cyber-Physical Gap. ICSE 2021: 847-859 - [c228]Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand:
Using Domain-specific Corpora for Improved Handling of Ambiguity in Requirements. ICSE 2021: 1485-1497 - [c227]Fitash Ul Haq, Donghwan Shin, Lionel C. Briand, Thomas Stifter, Jun Wang:
Automatic test suite generation for key-points detection DNNs using many-objective search (experience paper). ISSTA 2021: 91-102 - [c226]Salma Messaoudi, Donghwan Shin, Annibale Panichella, Domenico Bianculli, Lionel C. Briand:
Log-based slicing for system-level test cases. ISSTA 2021: 517-528 - [c225]Orlando Amaral, Sallam Abualhaija, Mehrdad Sabetzadeh, Lionel C. Briand:
A Model-based Conceptualization of Requirements for Compliance Checking of Data Processing against GDPR. RE Workshops 2021: 16-20 - [c224]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 - [d6]Hazem M. Fahmy, Fabrizio Pastore, Mojtaba Bagherzadeh, Lionel Claude Briand:
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning. Version 2. Zenodo, 2021 [all versions] - [d5]Hazem M. Fahmy, Fabrizio Pastore, Mojtaba Bagherzadeh, Lionel C. Briand:
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning. Version 1. Zenodo, 2021 [all versions] - [d4]Phu Xuan Mai, Fabrizio Pastore, Arda Goknil, Lionel Claude Briand:
Metamorphic Security Testing for Web Systems. Version 4. Zenodo, 2021 [all versions] - [d3]Phu Xuan Mai, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Metamorphic Security Testing for Web Systems. Version 1. Zenodo, 2021 [all versions] - [d2]Phu Xuan Mai, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Metamorphic Security Testing for Web Systems. Version 2. Zenodo, 2021 [all versions] - [d1]Phu Xuan Mai, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Metamorphic Security Testing for Web Systems. Version 3. Zenodo, 2021 [all versions] - [i32]Khouloud Gaaloul,