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2020 – today
- 2025
- [j60]Mariam Lahami, Afef Jmal Maâlej, Moez Krichen:
A systematic literature review on dynamic testing of blockchain oriented software. Sci. Comput. Program. 240: 103211 (2025) - 2024
- [j59]Karim Gasmi, Lassaad Ben Ammar, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Manel Mrabet:
Optimal Ensemble Learning Model for Dyslexia Prediction Based on an Adaptive Genetic Algorithm. IEEE Access 12: 64754-64764 (2024) - [j58]Sidra Abbas, Stephen Ojo, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Lucia Vilcekova:
A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification. IEEE Access 12: 76003-76021 (2024) - [j57]Sidra Abbas, Gabriel Avelino R. Sampedro, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Rastislav Kulhanek:
Effective Hypertension Detection Using Predictive Feature Engineering and Deep Learning. IEEE Access 12: 89055-89068 (2024) - [j56]Gabriel Avelino R. Sampedro, Stephen Ojo, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Vincent Karovic:
Defending AI Models Against Adversarial Attacks in Smart Grids Using Deep Learning. IEEE Access 12: 157408-157417 (2024) - [j55]Tae Hoon Kim, Moez Krichen, Stephen Ojo, Gabriel Avelino R. Sampedro, Meznah A. Alamro:
SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection. Frontiers Comput. Neurosci. 18 (2024) - [j54]Moez Krichen, Mohamed S. Abdalzaher:
Performance enhancement of artificial intelligence: A survey. J. Netw. Comput. Appl. 232: 104034 (2024) - [j53]Tae Hoon Kim, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Gabriel Avelino R. Sampedro, Sidra Abbas:
Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection. Peer Peer Netw. Appl. 17(5): 3369-3384 (2024) - [j52]Mohamed S. Abdalzaher, M. Sami Soliman, Moez Krichen, Meznah A. Alamro, Mostafa M. Fouda:
Employing Machine Learning for Seismic Intensity Estimation Using a Single Station for Earthquake Early Warning. Remote. Sens. 16(12): 2159 (2024) - [c63]Mariam Lahami, Moez Krichen, Mohamed Ali Mnassar, Racem Mrabet, Mohamed Ben Rhouma:
Towards an Ethereum Smart Contract Fuzz Testing Tool. ICSOFT 2024: 137-144 - [e1]Belgacem Ben Hedia, Yassine Maleh, Moez Krichen:
Verification and Evaluation of Computer and Communication Systems - 16th International Conference, VECoS 2023, Marrakech, Morocco, October 18-20, 2023, Proceedings. Lecture Notes in Computer Science 14368, Springer 2024, ISBN 978-3-031-49736-0 [contents] - 2023
- [j51]Mohamed Kharrat, Moez Krichen, Loay Alkhalifa, Karim Gasmi:
Neural-Networks-Based Adaptive Fault-Tolerant Control of Nonlinear Systems With Actuator Faults and Input Quantization. IEEE Access 11: 137680-137687 (2023) - [j50]Sarah El Himer, Mariyam Ouaissa, Mariya Ouaissa, Moez Krichen, Mohannad A. Alswailim, Mutiq Almutiq:
Energy Consumption Monitoring System Based on IoT for Residential Rooftops. Comput. 11(4): 78 (2023) - [j49]Moez Krichen:
Strengthening the Security of Smart Contracts through the Power of Artificial Intelligence. Comput. 12(5): 107 (2023) - [j48]Moez Krichen:
Convolutional Neural Networks: A Survey. Comput. 12(8): 151 (2023) - [j47]Nagappan Mageshkumar, J. Swapna, A. Pandiaraj, Rajakumar Ramalingam, Moez Krichen, Vinayakumar Ravi:
Hybrid cloud storage system with enhanced multilayer cryptosystem for secure deduplication in cloud. Int. J. Intell. Networks 4: 301-309 (2023) - [j46]Ricky Mohanty, Hemanta Kumar Bhuyan, Subhendu Kumar Pani, Vinayakumar Ravi, Moez Krichen:
Bird species recognition using spiking neural network along with distance based fuzzy co-clustering. Int. J. Speech Technol. 26(3): 681-694 (2023) - [j45]Omar Azib Alkhudaydi, Moez Krichen, Ans D. Alghamdi:
A Deep Learning Methodology for Predicting Cybersecurity Attacks on the Internet of Things. Inf. 14(10): 550 (2023) - [j44]Moez Krichen:
Formal Methods and Validation Techniques for Ensuring Automotive Systems Security. Inf. 14(12): 666 (2023) - [j43]Zhaoyang Han, Yaoqi Yang, Muhammad Bilal, Weizheng Wang, Moez Krichen, Abeer Abdullah Alsadhan, Chunpeng Ge:
Smart Optimization Solution for Channel Access Attack Defense Under UAV-Aided Heterogeneous Network. IEEE Internet Things J. 10(21): 18890-18897 (2023) - [j42]Salah Zidi, Alaeddine Mihoub, Saeed Mian Qaisar, Moez Krichen, Qasem Abu Al-Haija:
Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment. J. King Saud Univ. Comput. Inf. Sci. 35(1): 13-25 (2023) - [j41]Saeed Mian Qaisar, Sibghatullah I. Khan, Kathiravan Srinivasan, Moez Krichen:
Arrhythmia classification using multirate processing metaheuristic optimization and variational mode decomposition. J. King Saud Univ. Comput. Inf. Sci. 35(1): 26-37 (2023) - [j40]Oumaima Chakir, Abdeslam Rehaimi, Yassine Sadqi, El Arbi Abdellaoui Alaoui, Moez Krichen, Gurjot Singh Gaba, Andrei V. Gurtov:
An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0. J. King Saud Univ. Comput. Inf. Sci. 35(3): 103-119 (2023) - [j39]Muhammad Ayzed Mirza, Junsheng Yu, Salman Raza, Moez Krichen, Manzoor Ahmed, Wali Ullah Khan, Khaled M. Rabie, Thokozani Shongwe:
DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs. J. King Saud Univ. Comput. Inf. Sci. 35(6): 101512 (2023) - [j38]Moez Krichen:
Improving Formal Verification and Testing Techniques for Internet of Things and Smart Cities. Mob. Networks Appl. 28(2): 732-743 (2023) - [j37]Mujahid Hussain, Makhmoor Fiza, Aiman Khalil, Asad Ali Siyal, Fayaz Ali Dharejo, Waheeduddin Hyder, Antonella Guzzo, Moez Krichen, Giancarlo Fortino:
Transfer learning-based quantized deep learning models for nail melanoma classification. Neural Comput. Appl. 35(30): 22163-22178 (2023) - [j36]Shalli Rani, Himanshi Babbar, Moez Krichen, Keping Yu, Fida Hussain Memon:
Network Slicing for Zero-Touch Networks: A Top-Notch Technology. IEEE Netw. 37(5): 16-24 (2023) - [j35]Souhir Sghaier, Moez Krichen, Imed Ben Dhaou, Hela Elmannai, Reem Alkanhel:
Identification, 3D-Reconstruction, and Classification of Dangerous Road Cracks. Sensors 23(7): 3578 (2023) - [j34]Dalila Say, Salah Zidi, Saeed Mian Qaisar, Moez Krichen:
Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network. Sensors 23(14): 6422 (2023) - [j33]Hussam Saeed Musa, Moez Krichen, Adem Alpaslan Altun, Meryem Ammi:
Survey on Blockchain-Based Data Storage Security for Android Mobile Applications. Sensors 23(21): 8749 (2023) - [j32]Mostafa Hussien, Kim Khoa Nguyen, Ali Ranjha, Moez Krichen, Abdulaziz Alshammari, Mohamed Cheriet:
Enabling Efficient Data Integration of Industry 5.0 Nodes Through Highly Accurate Neural CSI Feedback. IEEE Trans. Consumer Electron. 69(4): 813-824 (2023) - [j31]Ankita Sharma, Shalli Rani, Ali Kashif Bashir, Moez Krichen, Abdulaziz Alshammari:
A Low-Rank Learning-Based Multi-Label Security Solution for Industry 5.0 Consumers Using Machine Learning Classifiers. IEEE Trans. Consumer Electron. 69(4): 833-841 (2023) - [c62]Mohamed S. Abdalzaher, Moez Krichen, Sayed S. R. Moustafa, Mohannad A. Alswailim:
Using Machine Learning for Earthquakes and Quarry Blasts Discrimination. AICCSA 2023: 1-6 - [c61]Zakaria Boulouard, Mariya Ouaissa, Mariyam Ouaissa, Moez Krichen, Mutiq Almutiq, Mohammad Algarni:
Streamlining River Flood Prevention with an Integrated AIoT Framework. AICCSA 2023: 1-6 - [c60]Moez Krichen:
Efficient Approaches for Safeguarding Sensitive Data during Natural Disasters. AICCSA 2023: 1-6 - [c59]Moez Krichen, Mohammed Yahya Alzahrani:
Formal Methods for Enhanced Natural Disaster Management. AICCSA 2023: 1-6 - [c58]Moez Krichen, Mohamed S. Abdalzaher:
Advances in AI and Drone-based Natural Disaster Management: A Survey. AICCSA 2023: 1-6 - [c57]Moez Krichen:
Generative Adversarial Networks. ICCCNT 2023: 1-7 - [c56]Moez Krichen:
Deep Reinforcement Learning. ICCCNT 2023: 1-7 - [c55]Seifeddine Mechti, Rim Faiz, Nabil Khoufi, Shaima Antit, Moez Krichen:
Sentiment Analysis: Effect of Combining BERT as an Embedding Technique with CNN Model for Tunisian Dialect. ICIKS 2023: 309-320 - [c54]Salwa Habbachi, Imene Ben Hafaiedh, Zhiwu Li, Moez Krichen:
On Language-Based Opacity Verification Problem in Discrete Event Systems Under Orwellian Observation. VECoS 2023: 45-59 - 2022
- [j30]Rateb Jabbar, Eya Dhib, Ahmed Ben Said, Moez Krichen, Noora Fetais, Esmat Zaidan, Kamel Barkaoui:
Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review. IEEE Access 10: 20995-21031 (2022) - [j29]Alaeddine Mihoub, Ouissem Ben Fredj, Omar Cheikhrouhou, Abdelouahid Derhab, Moez Krichen:
Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques. Comput. Electr. Eng. 98: 107716 (2022) - [j28]Ghullam Murtaza Jatoi, Bhagwan Das, Sarang Karim, Jitander Kumar Pabani, Moez Krichen, Roobaea Alroobaea, Mahender Kumar:
Floating Nodes Assisted Cluster-Based Routing for Efficient Data Collection in Underwater Acoustic Sensor Networks. Comput. Commun. 195: 137-147 (2022) - [j27]Qasem Abu Al-Haija, Moez Krichen:
A Lightweight In-Vehicle Alcohol Detection Using Smart Sensing and Supervised Learning. Comput. 11(8): 121 (2022) - [j26]Seifeddine Mechti, Moez Krichen, Dhouha Ben Noureddine, Lamia Hadrich Belguith:
A decision system for computational authors profiling: From machine learning to deep learning. Concurr. Comput. Pract. Exp. 34(7) (2022) - [j25]Mourad Ellouze, Seifeddine Mechti, Moez Krichen, Vinayakumar Ravi, Lamia Hadrich Belguith:
A deep learning approach for detecting the behaviour of people having personality disorders towards COVID-19 from Twitter. Int. J. Comput. Sci. Eng. 25(4): 353-366 (2022) - [j24]Muhammad Zia Ul Haq, Muhammad Zahid Khan, Haseeb Ur Rehman, Gulzar Mehmood, Ahmed Binmahfoudh, Moez Krichen, Roobaea Alroobaea:
An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks. Sensors 22(8): 2855 (2022) - [j23]Moez Krichen, Meryem Ammi, Alaeddine Mihoub, Mutiq Almutiq:
Blockchain for Modern Applications: A Survey. Sensors 22(14): 5274 (2022) - [j22]Shivani Batra, Harsh Sharma, Wadii Boulila, Vaishali Arya, Prakash Srivastava, Mohammad Zubair Khan, Moez Krichen:
An Intelligent Sensor Based Decision Support System for Diagnosing Pulmonary Ailment through Standardized Chest X-ray Scans. Sensors 22(19): 7474 (2022) - [j21]Zakaria Boulouard, Mariyam Ouaissa, Mariya Ouaissa, Farhan Siddiqui, Mutiq Almutiq, Moez Krichen:
An Integrated Artificial Intelligence of Things Environment for River Flood Prevention. Sensors 22(23): 9485 (2022) - [j20]Saeed Mian Qaisar, Nehal Alyamani, Asad Waqar, Moez Krichen:
Machine Learning with Adaptive Rate Processing for Power Quality Disturbances Identification. SN Comput. Sci. 3(1): 14 (2022) - [j19]Elio Jordan Lopes, Shaolin Kataria, Shashank Keshav, Sumaiya Thaseen Ikram, Muhammad Rukunuddin Ghalib, Achyut Shankar, Moez Krichen:
Live video streaming service with pay-as-you-use model on Ethereum Blockchain and InterPlanetary file system. Wirel. Networks 28(7): 3111-3125 (2022) - [c53]Mariam Lahami, Afef Jmal Maâlej, Moez Krichen, Mohamed Amin Hammami:
A Comprehensive Review of Testing Blockchain Oriented Software. ENASE 2022: 355-362 - [c52]Souhir Sghaier, Moez Krichen, Abir Othman Elfaki, Qasem Abu Al-Haija:
Efficient Machine-Learning Based 3D Face Identification System Under Large Pose Variation. ICCCI (CCIS Volume) 2022: 273-285 - [c51]Moez Krichen, Mariam Lahami, Qasem Abu Al-Haija:
Formal Methods for the Verification of Smart Contracts: A Review. SIN 2022: 1-8 - 2021
- [j18]Mohammad Kamrul Hasan, Teong Chee Chuah, Ayman A. El-Saleh, Muhammad Shafiq, Shoaib Ahmed Shaikh, Shayla Islam, Moez Krichen:
Constriction Factor Particle Swarm Optimization based load balancing and cell association for 5G heterogeneous networks. Comput. Commun. 180: 328-337 (2021) - [j17]Hashem Alyami, Wael Alosaimi, Moez Krichen, Roobaea Alroobaea:
Monitoring Social Distancing Using Artificial Intelligence for Fighting COVID-19 Virus Spread. Int. J. Open Source Softw. Process. 12(3): 48-63 (2021) - [j16]Saeed Mian Qaisar, Alaeddine Mihoub, Moez Krichen, Humaira Nisar:
Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification. Sensors 21(4): 1511 (2021) - [j15]Asad Abbas, Moez Krichen, Roobaea Alroobaea, Sharaf Jameel Malebary, Usman Tariq, Md. Jalil Piran:
An opportunistic data dissemination for autonomous vehicles communication. Soft Comput. 25(18): 11899-11912 (2021) - [j14]Mariam Lahami, Moez Krichen:
A survey on runtime testing of dynamically adaptable and distributed systems. Softw. Qual. J. 29(2): 555-593 (2021) - [c50]Shamika Ganesan, Vinayakumar Ravi, Moez Krichen, V. Sowmya, Roobaea Alroobaea, Soman K. P.:
Robust Malware Detection using Residual Attention Network. ICCE 2021: 1-6 - [c49]Moez Krichen:
Testing Timed Systems Using Determinization Techniques for One-Clock Timed Automata. TACC 2021: 62-73 - [i3]Wadii Boulila, Maha Driss, Mohammed Al-Sarem, Faisal Saeed, Moez Krichen:
Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives. CoRR abs/2102.07004 (2021) - 2020
- [j13]Wilfried Yves Hamilton Adoni, Tarik Nahhal, Moez Krichen, Brahim Aghezzaf, Abdeltif Elbyed:
A survey of current challenges in partitioning and processing of graph-structured data in parallel and distributed systems. Distributed Parallel Databases 38(2): 495-530 (2020) - [j12]Wilfried Yves Hamilton Adoni, Tarik Nahhal, Moez Krichen, Abdeltif El byed, Ismail Assayad:
DHPV: a distributed algorithm for large-scale graph partitioning. J. Big Data 7(1): 1-25 (2020) - [j11]Rateb Jabbar, Mohamed Kharbeche, Khalifa Al-Khalifa, Moez Krichen, Kamel Barkaoui:
Blockchain for the Internet of Vehicles: A Decentralized IoT Solution for Vehicles Communication Using Ethereum. Sensors 20(14): 3928 (2020) - [c48]Roobaea Alroobaea, Ahmed H. Almulihi, Fahd S. Alharithi, Seifeddine Mechti, Moez Krichen, Lamia Hadrich Belguith:
A Deep Learning Model to Predict Gender, Age and Occupation of the Celebrities based on Tweets Followers. CLEF (Working Notes) 2020 - [c47]Ouissem Ben Fredj, Omar Cheikhrouhou, Moez Krichen, Habib Hamam, Abdelouahid Derhab:
An OWASP Top Ten Driven Survey on Web Application Protection Methods. CRiSIS 2020: 235-252 - [c46]Rateb Jabbar, Moez Krichen, Mohamed Kharbeche, Noora Fetais, Kamel Barkaoui:
A Formal Model-Based Testing Framework for Validating an IoT Solution for Blockchain-based Vehicles Communication. ENASE 2020: 595-602 - [c45]Rateb Jabbar, Moez Krichen, Noora Fetais, Kamel Barkaoui:
Adopting Formal Verification and Model-Based Testing Techniques for Validating a Blockchain-based Healthcare Records Sharing System. ICEIS (1) 2020: 261-268 - [c44]Rateb Jabbar, Mohammed Shinoy, Mohamed Kharbeche, Khalifa Al-Khalifa, Moez Krichen, Kamel Barkaoui:
Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application. ICIoT 2020: 237-242 - [c43]Rateb Jabbar, Noora Fetais, Moez Krichen, Kamel Barkaoui:
Blockchain technology for healthcare: Enhancing shared electronic health record interoperability and integrity. ICIoT 2020: 310-317 - [c42]Saeed Mian Qaisar, Moez Krichen, Fatma Jallouli:
Multirate ECG Processing and k-Nearest Neighbor Classifier Based Efficient Arrhythmia Diagnosis. ICOST 2020: 329-337 - [c41]Samir Ouchani, Moez Krichen:
Ensuring the Correctness and Well Modeling of Intelligent Healthcare Management Systems. ICOST 2020: 364-372 - [c40]Rateb Jabbar, Moez Krichen, Mohammed Shinoy, Mohamed Kharbeche, Noora Fetais, Kamel Barkaoui:
A Model-Based and Resource-Aware Testing Framework for Parking System Payment using Blockchain. IWCMC 2020: 1252-1259 - [c39]Ouissem Ben Fredj, Alaeddine Mihoub, Moez Krichen, Omar Cheikhrouhou, Abdelouahid Derhab:
CyberSecurity Attack Prediction: A Deep Learning Approach. SIN 2020: 5:1-5:6 - [c38]Wilfried Yves Hamilton Adoni, Moez Krichen, Tarik Nahhal, Abdeltif Elbyed:
Multi-path Coverage of All Final States for Model-Based Testing Theory Using Spark In-memory Design. VECoS 2020: 195-204 - [i2]Rateb Jabbar, Mohammed Shinoy, Mohamed Kharbeche, Khalifa Al-Khalifa, Moez Krichen, Kamel Barkaoui:
Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application. CoRR abs/2002.03728 (2020) - [i1]Rateb Jabbar, Mohammed Shinoy, Mohamed Kharbeche, Khalifa Al-Khalifa, Moez Krichen, Kamel Barkaoui:
Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety. CoRR abs/2003.07672 (2020)
2010 – 2019
- 2019
- [j10]Mariam Lahami, Moez Krichen, Roobaea Alroobaea:
TEPaaS: test execution platform as-a-service applied in the context of e-health. Int. J. Auton. Adapt. Commun. Syst. 12(3): 264-283 (2019) - [c37]Moez Krichen, Roobaea Alroobaea:
Towards Optimizing the Placement of Security Testing Components for Internet of Things Architectures. AICCSA 2019: 1-2 - [c36]Moez Krichen, Afef Jmal Maâlej:
Une Approche Formelle pour Combiner les Tests Fonctionnels et les Tests de Charge. CAL 2019: 91-102 - [c35]Afef Jmal Maâlej, Moez Krichen:
Une Approche de Test de Charge de Compositions de ServicesWeb. CAL 2019: 103-120 - [c34]Moez Krichen, Roobaea Alroobaea:
A New Model-based Framework for Testing Security of IoT Systems in Smart Cities using Attack Trees and Price Timed Automata. ENASE 2019: 570-577 - [c33]Moez Krichen, Roobaea Alroobaea, Mariam Lahami:
Towards a Runtime Standard-based Testing Framework for Dynamic Distributed Information Systems. ICEIS (1) 2019: 121-129 - [c32]Moez Krichen:
Improving and Optimizing Verification and Testing Techniques for Distributed Information Systems. ICEIS (Revised Selected Papers) 2019: 457-472 - [c31]Moez Krichen:
Testing Real-Time Systems Using Determinization Techniques for Automata over Timed Domains. ICTAC 2019: 124-133 - [c30]Rateb Jabbar, Mohammed Shinoy, Mohamed Kharbeche, Khalifa Al-Khalifa, Moez Krichen, Kamel Barkaoui:
Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety. IINTEC 2019: 13-18 - 2018
- [b1]Moez Krichen:
Contributions to Model-Based Testing of Dynamic and Distributed Real-Time Systems. (Contributions au Test à Base-de-Modèles de Systèmes Temps-Réels Dynamiques et Distribués). École nationale d'ingénieurs de Sfax, Tunisia, 2018 - [j9]Moez Krichen, Afef Jmal Maâlej, Mariam Lahami:
A model-based approach to combine conformance and load tests: an eHealth case study. Int. J. Crit. Comput. Based Syst. 8(3/4): 282-310 (2018) - [c29]Mariam Lahami, Moez Krichen, Roobaea Alroobaea:
Towards a Test Execution Platform As-A-Service: Application in the E-Health Domain. ICCAD 2018: 1-6 - [c28]Afef Jmal Maâlej, Mariam Lahami, Moez Krichen, Mohamed Jmaïel:
Distributed and Resource-Aware Load Testing of WS-BPEL Compositions. ICEIS (2) 2018: 29-38 - [c27]Moez Krichen, Afef Jmal Maâlej, Mariam Lahami, Mohamed Jmaiel:
A Resource-Aware Model-Based Framework for Load Testing of WS-BPEL Compositions. ICEIS (Revised Selected Papers) 2018: 130-157 - 2017
- [c26]Afef Jmal Maâlej, Moez Krichen, Mohamed Jmaïel:
WSCLim: A Tool for Model-Based Testing of WS-BPEL Compositions Under Load Conditions. TAP@STAF 2017: 139-151 - 2016
- [j8]Mariam Lahami, Moez Krichen, Mohamed Jmaiel:
Safe and efficient runtime testing framework applied in dynamic and distributed systems. Sci. Comput. Program. 122: 1-28 (2016) - [c25]Afef Jmal Maâlej, Moez Krichen:
A Model Based Approach to Combine Load and Functional Tests for Service Oriented Architectures. VECoS 2016: 123-140 - 2015
- [j7]Afef Jmal Maâlej, Moez Krichen:
Study on the Limitations of WS-BPEL Compositions Under Load Conditions. Comput. J. 58(3): 385-402 (2015) - [j6]Nathalie Bertrand, Amélie Stainer, Thierry Jéron, Moez Krichen:
A game approach to determinize timed automata. Formal Methods Syst. Des. 46(1): 42-80 (2015) - [j5]Mariam Lahami, Moez Krichen, Mohamed Jmaïel:
Runtime testing approach of structural adaptations for dynamic and distributed systems. Int. J. Comput. Appl. Technol. 51(4): 259-272 (2015) - [j4]Afef Jmal Maâlej, Moez Krichen, Mohamed Jmaïel:
A comparative evaluation of state-of-the-art load and stress testing approaches. Int. J. Comput. Appl. Technol. 51(4): 283-293 (2015) - [c24]Mariam Lahami, Moez Krichen, Hajer Barhoumi, Mohamed Jmaiel:
Selective Test Generation Approach for Testing Dynamic Behavioral Adaptations. ICTSS 2015: 224-239 - 2013
- [c23]Afef Jmal Maâlej, Manel Hamza, Moez Krichen, Mohamed Jmaiel:
Automated Significant Load Testing for WS-BPEL Compositions. ICST Workshops 2013: 144-153 - [c22]Afef Jmal Maâlej, Zeineb Ben Makhlouf, Moez Krichen, Mohamed Jmaiel:
Conformance testing for quality assurance of clustering architectures. QASBA@ISSTA 2013: 9-16 - [c21]Mariam Lahami, Moez Krichen, Mohamed Jmaiel:
Runtime testing framework for improving quality in dynamic service-based systems. QASBA@ISSTA 2013: 17-24 - [c20]Afef Jmal Maâlej, Moez Krichen, Mohamed Jmaiel:
WSCCT: a tool for WS-BPEL compositions conformance testing. SAC 2013: 1055-1061 - [c19]Afef Jmal Maâlej, Manel Hamza, Moez Krichen:
WSCLT: A Tool for WS-BPEL Compositions Load Testing. WETICE 2013: 272-277 - [c18]Mariam Lahami, Moez Krichen:
Test Isolation Policy for Safe Runtime Validation of Evolvable Software Systems. WETICE 2013: 377-382 - 2012
- [j3]Nathalie Bertrand, Thierry Jéron, Amélie Stainer, Moez Krichen:
Off-line test selection with test purposes for non-deterministic timed automata. Log. Methods Comput. Sci. 8(4) (2012) - [j2]