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ORCIDLionel C. Briand
Lionel Claude Briand
Person information
- affiliation: University of Luxembourg
- affiliation: University of Ottawa, Ottawa, Canada
- affiliation (former): Carleton University, Ottawa, Canada
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2020 – today
- 2023
[j173]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)- [j172]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) - [j171]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) - [j170]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) - [j169]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) - [j168]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) - [j167]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) - [j166]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) - [j165]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) - [j164]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) - [j163]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) - [j162]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) - [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 - [i60]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) - [i59]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) - [i58]Jaekwon Lee, Seung Yeob Shin, Lionel C. Briand, Shiva Nejati:
Probabilistic WCET Estimation for Weakly Hard Real-Time Systems. CoRR abs/2302.10288 (2023) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]Alvaro Veizaga, Seung Yeob Shin, Lionel C. Briand:
Automated Smell Detection and Recommendation in Natural Language Requirements. CoRR abs/2305.07097 (2023) - [i52]Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Impact of Log Parsing on Log-based Anomaly Detection. CoRR abs/2305.15897 (2023) - [i51]Sakina Fatima, Hadi Hemmati, Lionel C. Briand:
Black-Box Prediction of Flaky Test Fix Categories Using Language Models. CoRR abs/2307.00012 (2023) - [i50]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) - [i49]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) - [i48]Amirhossein Zolfagharian, Manel Abdellatif, Lionel C. Briand, Ramesh S:
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents. CoRR abs/2308.02594 (2023) - [i47]Chanh Duc Ngo, Fabrizio Pastore, Lionel C. Briand:
Testing Updated Apps by Adapting Learned Models. CoRR abs/2308.05549 (2023) - [i46]Jaekwon Lee, Enrico Viganò, Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
Fuzzing for CPS Mutation Testing. CoRR abs/2308.07949 (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, Claudio Menghi, Shiva Nejati, Lionel C. Briand, Yago Isasi Parache:
Combining Genetic Programming and Model Checking to Generate Environment Assumptions. CoRR abs/2101.01933 (2021) - [i31]Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
Mutation Analysis for Cyber-Physical Systems: Scalable Solutions and Results in the Space Domain. CoRR abs/2101.05111 (2021) - [i30]Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand:
Can Offline Testing of Deep Neural Networks Replace Their Online Testing? CoRR abs/2101.11118 (2021) - [i29]Jaekwon Lee, Seung Yeob Shin, Shiva Nejati, Lionel C. Briand:
Optimal Priority Assignment for Real-Time Systems: A Coevolution-Based Approach. CoRR abs/2102.07694 (2021) - [i28]Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
PRINS: Scalable Model Inference for Component-based System Logs. CoRR abs/2106.01987 (2021) - [i27]Orlando Amaral, Sallam Abualhaija, Damiano Torre, Mehrdad Sabetzadeh, Lionel C. Briand:
AI-enabled Automation for Completeness Checking of Privacy Policies. CoRR abs/2106.05688 (2021) - [i26]Rongqi Pan, Mojtaba Bagherzadeh, Taher Ahmed Ghaleb, Lionel C. Briand:
Test Case Selection and Prioritization Using Machine Learning: A Systematic Literature Review. CoRR abs/2106.13891 (2021) - [i25]Ahmadreza Saboor Yaraghi, Mojtaba Bagherzadeh, Nafiseh Kahani, Lionel C. Briand:
Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts. CoRR abs/2109.13168 (2021) - [i24]Xiaochen Li, Domenico Bianculli, Lionel C. Briand:
An AI-based Approach for Tracing Content Requirements in Financial Documents. CoRR abs/2110.14960 (2021) - [i23]Sakina Fatima, Taher Ahmed Ghaleb, Lionel C. Briand:
Flakify: A Black-Box, Language Model-based Predictor for Flaky Tests. CoRR abs/2112.12331 (2021) - [i22]Zohreh Aghababaeyan, Manel Abdellatif, Lionel C. Briand, Ramesh S, Mojtaba Bagherzadeh:
Black-Box Testing of Deep Neural Networks through Test Case Diversity. CoRR abs/2112.12591 (2021) - 2020
- [j142]Nuno Amálio, Lionel C. Briand, Pierre Kelsen:
An experimental scrutiny of visual design modelling: VCL up against UML+OCL. Empir. Softw. Eng. 25(2): 1205-1258 (2020) - [j141]Seifeddine Bettaieb, Seung Yeob Shin, Mehrdad Sabetzadeh, Lionel C. Briand, Michael Garceau, Antoine Meyers:
Using machine learning to assist with the selection of security controls during security assessment. Empir. Softw. Eng. 25(4): 2550-2582 (2020) - [j140]Ines Hajri, Arda Goknil, Fabrizio Pastore, Lionel C. Briand:
Automating system test case classification and prioritization for use case-driven testing in product lines. Empir. Softw. Eng. 25(5): 3711-3769 (2020) - [j139]Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, Lionel C. Briand, Michael Traynor:
Automated demarcation of requirements in textual specifications: a machine learning-based approach. Empir. Softw. Eng. 25(6): 5454-5497 (2020) - [j138]Ghanem Soltana, Mehrdad Sabetzadeh, Lionel C. Briand:
Practical Constraint Solving for Generating System Test Data. ACM Trans. Softw. Eng. Methodol. 29(2): 11:1-11:48 (2020) - [j137]Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand:
An Integrated Approach for Effective Injection Vulnerability Analysis of Web Applications Through Security Slicing and Hybrid Constraint Solving. IEEE Trans. Software Eng. 46(2): 163-195 (2020) - [c223]Phu X. Mai, Arda Goknil, Fabrizio Pastore, Lionel C. Briand:
SMRL: a metamorphic security testing tool for web systems. ICSE (Companion Volume) 2020: 9-12 - [c222]Seung Yeob Shin, Shiva Nejati, Mehrdad Sabetzadeh, Lionel C. Briand, Chetan Arora, Frank Zimmer:
Dynamic adaptation of software-defined networks for IoT systems: a search-based approach. SEAMS@ICSE 2020: 137-148 - [c221]Claudio Menghi, Shiva Nejati, Lionel C. Briand, Yago Isasi Parache:
Approximation-refinement testing of compute-intensive cyber-physical models: an approach based on system identification. ICSE 2020: 372-384 - [c220]Mojdeh Golagha, Alexander Pretschner, Lionel C. Briand:
Can We Predict the Quality of Spectrum-based Fault Localization? ICST 2020: 4-15 - [c219]Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand:
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study. ICST 2020: 85-95 - [c218]Phu X. Mai, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Metamorphic Security Testing for Web Systems. ICST 2020: 186-197 - [c217]Raja Ben Abdessalem, Annibale Panichella, Shiva Nejati, Lionel C. Briand, Thomas Stifter:
Automated repair of feature interaction failures in automated driving systems. ISSTA 2020: 88-100 - [c216]