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2020 – today
- 2023
[j84]Andrea Romdhana
, Alessio Merlo, Mariano Ceccato, Paolo Tonella:
Assessing the security of inter-app communications in android through reinforcement learning. Comput. Secur. 131: 103311 (2023)- [j83]Andrea Stocco, Brian Pulfer, Paolo Tonella:
Model vs system level testing of autonomous driving systems: a replication and extension study. Empir. Softw. Eng. 28(3): 73 (2023) - [j82]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
Efficient and Effective Feature Space Exploration for Testing Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 32(2): 49:1-49:38 (2023) - [j81]Andrea Stocco, Brian Pulfer, Paolo Tonella:
Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems. IEEE Trans. Software Eng. 49(4): 1928-1940 (2023) - [c191]Paolo Tonella:
The Road Toward Dependable AI Based Systems. ICSE 2023: 2 - [c190]Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella:
DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning. ICSE Companion 2023: 68-72 - [c189]Vincenzo Riccio, Paolo Tonella:
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. ICSE 2023: 1161-1173 - [c188]Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo:
Repairing DNN Architecture: Are We There Yet? ICST 2023: 234-245 - [c187]Sajad Khatiri, Sebastiano Panichella, Paolo Tonella:
Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights. ICST 2023: 281-292 - [c186]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
DeepAtash: Focused Test Generation for Deep Learning Systems. ISSTA 2023: 954-966 - [c185]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search. Software Engineering 2023: 131-132 - [i27]Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo:
Repairing DNN Architecture: Are We There Yet? CoRR abs/2301.11568 (2023) - [i26]Michael Weiss, Paolo Tonella:
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks. CoRR abs/2304.02654 (2023) - [i25]Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella:
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing. CoRR abs/2305.08060 (2023) - [i24]Matteo Biagiola, Paolo Tonella:
Testing of Deep Reinforcement Learning Agents with Surrogate Models. CoRR abs/2305.12751 (2023) - [i23]Andrea Stocco, Alexandra Willi, Luigi Libero Lucio Starace, Matteo Biagiola, Paolo Tonella:
Neural Embeddings for Web Testing. CoRR abs/2306.07400 (2023) - [i22]Matteo Biagiola, Paolo Tonella:
Boundary State Generation for Testing and Improvement of Autonomous Driving Systems. CoRR abs/2307.10590 (2023) - 2022
- [j80]Antonia Bertolino, Pietro Braione, Guglielmo De Angelis, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, Mauro Pezzè, Roberto Pietrantuono, Stefano Russo, Paolo Tonella:
A Survey of Field-based Testing Techniques. ACM Comput. Surv. 54(5): 92:1-92:39 (2022) - [j79]Andrea Stocco, Paolo Tonella:
Confidence-driven weighted retraining for predicting safety-critical failures in autonomous driving systems. J. Softw. Evol. Process. 34(10) (2022) - [j78]Andrea Romdhana, Alessio Merlo, Mariano Ceccato, Paolo Tonella:
Deep Reinforcement Learning for Black-box Testing of Android Apps. ACM Trans. Softw. Eng. Methodol. 31(4): 65:1-65:29 (2022) - [j77]Matteo Biagiola, Paolo Tonella:
Testing the Plasticity of Reinforcement Learning-based Systems. ACM Trans. Softw. Eng. Methodol. 31(4): 80:1-80:46 (2022) - [c184]Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel:
Evolutionary generation of metamorphic relations for cyber-physical systems. GECCO Companion 2022: 15-16 - [c183]Andrea Romdhana, Mariano Ceccato, Alessio Merlo, Paolo Tonella:
IFRIT: Focused Testing through Deep Reinforcement Learning. ICST 2022: 24-34 - [c182]Michael Weiss, Paolo Tonella:
Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study). ISSTA 2022: 139-150 - [c181]Andrea Stocco, Paulo J. Nunes, Marcelo d'Amorim, Paolo Tonella:
ThirdEye: Attention Maps for Safe Autonomous Driving Systems. ASE 2022: 102:1-102:12 - [p2]Chiara Di Francescomarino, Paolo Tonella:
The BPMN Visual Query Language and Process Querying Framework. Process Querying Methods 2022: 181-218 - [i21]Michael Weiss, Paolo Tonella:
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study). CoRR abs/2205.00664 (2022) - [i20]Michael Weiss, André García Gómez, Paolo Tonella:
A Forgotten Danger in DNN Supervision Testing: Generating and Detecting True Ambiguity. CoRR abs/2207.10495 (2022) - [i19]Michael Weiss, Paolo Tonella:
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines. CoRR abs/2212.07118 (2022) - [i18]Vincenzo Riccio, Paolo Tonella:
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. CoRR abs/2212.11368 (2022) - 2021
- [j76]Maurizio Leotta, Filippo Ricca, Paolo Tonella:
Sidereal: Statistical adaptive generation of robust locators for web testing. Softw. Test. Verification Reliab. 31(3) (2021) - [j75]Héctor D. Menéndez, Gunel Jahangirova, Federica Sarro, Paolo Tonella, David Clark:
Diversifying Focused Testing for Unit Testing. ACM Trans. Softw. Eng. Methodol. 30(4): 44:1-44:24 (2021) - [j74]Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella:
An Empirical Validation of Oracle Improvement. IEEE Trans. Software Eng. 47(8): 1708-1728 (2021) - [c180]Paolo Tonella:
Keynote Speaker. AITest 2021: xv - [c179]Valerio Terragni, Gunel Jahangirova, Mauro Pezzè, Paolo Tonella:
Improving assertion oracles with evolutionary computation. GECCO Companion 2021: 45-46 - [c178]Valerio Terragni, Gunel Jahangirova, Paolo Tonella, Mauro Pezzè:
GAssert: A Fully Automated Tool to Improve Assertion Oracles. ICSE (Companion Volume) 2021: 85-88 - [c177]Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella:
A Review and Refinement of Surprise Adequacy. DeepTest@ICSE 2021: 17-24 - [c176]Michael Weiss, Paolo Tonella:
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. ICST 2021: 24-35 - [c175]Gunel Jahangirova, Andrea Stocco, Paolo Tonella:
Quality Metrics and Oracles for Autonomous Vehicles Testing. ICST 2021: 194-204 - [c174]Emanuele Viglianisi, Mariano Ceccato, Paolo Tonella:
Summary of: A Federated Society of Bots for Smart Contract Testing. ICST 2021: 282-283 - [c173]Andrea Romdhana, Mariano Ceccato, Gabriel Claudiu Georgiu, Alessio Merlo, Paolo Tonella:
COSMO: Code Coverage Made Easier for Android. ICST 2021: 417-423 - [c172]Michael Weiss, Paolo Tonella:
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification. ICST 2021: 436-441 - [c171]Dario Olianas, Maurizio Leotta, Filippo Ricca, Matteo Biagiola, Paolo Tonella:
STILE: a Tool for Parallel Execution of E2E Web Test Scripts. ICST 2021: 460-465 - [c170]Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella:
DeepCrime: mutation testing of deep learning systems based on real faults. ISSTA 2021: 67-78 - [c169]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
DeepHyperion: exploring the feature space of deep learning-based systems through illumination search. ISSTA 2021: 79-90 - [c168]Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella:
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. ASE 2021: 355-367 - [c167]Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel:
Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study. ESEC/SIGSOFT FSE 2021: 1264-1274 - [i17]Michael Weiss, Paolo Tonella:
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification. CoRR abs/2101.00982 (2021) - [i16]Andrea Romdhana, Alessio Merlo, Mariano Ceccato, Paolo Tonella:
Deep Reinforcement Learning for Black-Box Testing of Android Apps. CoRR abs/2101.02636 (2021) - [i15]Michael Weiss, Paolo Tonella:
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. CoRR abs/2102.00902 (2021) - [i14]Valerio Terragni, Gunel Jahangirova, Paolo Tonella, Mauro Pezzè:
GAssert: A Fully Automated Tool to Improve Assertion Oracles. CoRR abs/2103.02901 (2021) - [i13]Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella:
A Review and Refinement of Surprise Adequacy. CoRR abs/2103.05939 (2021) - [i12]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search. CoRR abs/2107.06997 (2021) - [i11]Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella:
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. CoRR abs/2109.07514 (2021) - [i10]Andrea Stocco, Brian Pulfer, Paolo Tonella:
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems. CoRR abs/2112.11255 (2021) - 2020
- [j73]Alessio Viticchié, Leonardo Regano, Cataldo Basile, Marco Torchiano, Mariano Ceccato, Paolo Tonella:
Empirical assessment of the effort needed to attack programs protected with client/server code splitting. Empir. Softw. Eng. 25(1): 1-48 (2020) - [j72]Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella:
Testing machine learning based systems: a systematic mapping. Empir. Softw. Eng. 25(6): 5193-5254 (2020) - [j71]Emanuele Viglianisi, Mariano Ceccato, Paolo Tonella:
A federated society of bots for smart contract testing. J. Syst. Softw. 168: 110647 (2020) - [c166]Andrea Stocco, Michael Weiss, Marco Calzana, Paolo Tonella:
Misbehaviour prediction for autonomous driving systems. ICSE 2020: 359-371 - [c165]Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella:
Taxonomy of real faults in deep learning systems. ICSE 2020: 1110-1121 - [c164]Gunel Jahangirova, Paolo Tonella:
An Empirical Evaluation of Mutation Operators for Deep Learning Systems. ICST 2020: 74-84 - [c163]Matteo Biagiola, Andrea Stocco, Filippo Ricca, Paolo Tonella:
Dependency-Aware Web Test Generation. ICST 2020: 175-185 - [c162]Maurizio Leotta, Matteo Biagiola, Filippo Ricca, Mariano Ceccato, Paolo Tonella:
A Family of Experiments to Assess the Impact of Page Object Pattern in Web Test Suite Development. ICST 2020: 263-273 - [c161]Mariano Ceccato, Davide Corradini, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, Paolo Tonella:
A Framework for In-Vivo Testing of Mobile Applications. ICST 2020: 286-296 - [c160]Antonia Bertolino, Guglielmo De Angelis, Breno Miranda, Paolo Tonella:
Run Java Applications and Test Them In-Vivo Meantime. ICST 2020: 454-459 - [c159]Andrea Stocco, Paolo Tonella:
Towards Anomaly Detectors that Learn Continuously. ISSRE Workshops 2020: 201-208 - [c158]Vincenzo Riccio, Paolo Tonella:
Model-based exploration of the frontier of behaviours for deep learning system testing. ESEC/SIGSOFT FSE 2020: 876-888 - [c157]Valerio Terragni, Gunel Jahangirova, Paolo Tonella, Mauro Pezzè:
Evolutionary improvement of assertion oracles. ESEC/SIGSOFT FSE 2020: 1178-1189 - [i9]Mariano Ceccato, Davide Corradini, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, Paolo Tonella:
A Framework for In-Vivo Testing of Mobile Applications. CoRR abs/2002.01785 (2020) - [i8]Vincenzo Riccio, Paolo Tonella:
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing. CoRR abs/2007.02787 (2020) - [i7]Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella:
An Empirical Study on Failed Error Propagation in Java Programs with Real Faults. CoRR abs/2011.10787 (2020)
2010 – 2019
- 2019
- [j70]Mariano Ceccato, Paolo Tonella, Cataldo Basile, Paolo Falcarin, Marco Torchiano, Bart Coppens, Bjorn De Sutter:
Understanding the behaviour of hackers while performing attack tasks in a professional setting and in a public challenge. Empir. Softw. Eng. 24(1): 240-286 (2019) - [c156]Mariano Ceccato, Luca Gazzola, Fitsum Meshesha Kifetew, Leonardo Mariani, Matteo Orrù, Paolo Tonella:
Toward In-Vivo Testing of Mobile Applications. ISSRE Workshops 2019: 137-143 - [c155]Matteo Biagiola, Andrea Stocco, Filippo Ricca, Paolo Tonella:
Diversity-based web test generation. ESEC/SIGSOFT FSE 2019: 142-153 - [c154]Matteo Biagiola, Andrea Stocco, Ali Mesbah, Filippo Ricca, Paolo Tonella:
Web test dependency detection. ESEC/SIGSOFT FSE 2019: 154-164 - [i6]Matteo Biagiola, Andrea Stocco, Ali Mesbah, Filippo Ricca, Paolo Tonella:
E2E Web Test Dependency Detection using NLP. CoRR abs/1905.00357 (2019) - [i5]Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella:
Taxonomy of Real Faults in Deep Learning Systems. CoRR abs/1910.11015 (2019) - 2018
- [j69]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
A large scale empirical comparison of state-of-the-art search-based test case generators. Inf. Softw. Technol. 104: 236-256 (2018) - [j68]Maurizio Leotta, Andrea Stocco, Filippo Ricca, Paolo Tonella:
Pesto: Automated migration of DOM-based Web tests towards the visual approach. Softw. Test. Verification Reliab. 28(4) (2018) - [j67]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets. IEEE Trans. Software Eng. 44(2): 122-158 (2018) - [c153]Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella:
OASIs: oracle assessment and improvement tool. ISSTA 2018: 368-371 - [c152]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
Incremental Control Dependency Frontier Exploration for Many-Criteria Test Case Generation. SSBSE 2018: 309-324 - 2017
- [j66]Fitsum Meshesha Kifetew, Roberto Tiella, Paolo Tonella:
Generating valid grammar-based test inputs by means of genetic programming and annotated grammars. Empir. Softw. Eng. 22(2): 928-961 (2017) - [j65]Antônio Mauricio Pitangueira, Paolo Tonella, Angelo Susi, Rita Suzana Pitangueira Maciel, Márcio de Oliveira Barros:
Minimizing the stakeholder dissatisfaction risk in requirement selection for next release planning. Inf. Softw. Technol. 87: 104-118 (2017) - [j64]Andrea Stocco, Maurizio Leotta, Filippo Ricca, Paolo Tonella:
APOGEN: automatic page object generator for web testing. Softw. Qual. J. 25(3): 1007-1039 (2017) - [c151]Mariano Ceccato, Paolo Tonella, Cataldo Basile, Bart Coppens, Bjorn De Sutter, Paolo Falcarin, Marco Torchiano:
How professional hackers understand protected code while performing attack tasks. ICPC 2017: 154-164 - [c150]Matteo Biagiola, Filippo Ricca, Paolo Tonella:
Search Based Path and Input Data Generation for Web Application Testing. SSBSE 2017: 18-32 - [c149]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
LIPS vs MOSA: A Replicated Empirical Study on Automated Test Case Generation. SSBSE 2017: 83-98 - [i4]Alessio Viticchié, Leonardo Regano, Marco Torchiano, Cataldo Basile, Mariano Ceccato, Paolo Tonella, Roberto Tiella:
Assessment of Source Code Obfuscation Techniques. CoRR abs/1704.02307 (2017) - [i3]Mariano Ceccato, Paolo Tonella, Cataldo Basile, Bart Coppens, Bjorn De Sutter, Paolo Falcarin, Marco Torchiano:
How Professional Hackers Understand Protected Code while Performing Attack Tasks. CoRR abs/1704.02774 (2017) - 2016
- [j63]Maurizio Leotta, Diego Clerissi, Filippo Ricca, Paolo Tonella:
Approaches and Tools for Automated End-to-End Web Testing. Adv. Comput. 101: 193-237 (2016) - [j62]Maurizio Leotta, Andrea Stocco, Filippo Ricca, Paolo Tonella:
Robula+: an algorithm for generating robust XPath locators for web testing. J. Softw. Evol. Process. 28(3): 177-204 (2016) - [c148]Mouna Hammoudi, Gregg Rothermel, Paolo Tonella:
Why do Record/Replay Tests of Web Applications Break? ICST 2016: 180-190 - [c147]Andrea Stocco, Maurizio Leotta, Filippo Ricca, Paolo Tonella:
Clustering-Aided Page Object Generation for Web Testing. ICWE 2016: 132-151 - [c146]Andrea Stocco, Maurizio Leotta, Filippo Ricca, Paolo Tonella:
Automatic Page Object Generation with APOGEN. ICWE 2016: 533-537 - [c145]Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella:
Test oracle assessment and improvement. ISSTA 2016: 247-258 - [c144]Antônio Mauricio Pitangueira, Paolo Tonella, Angelo Susi, Rita Suzana Pitangueira Maciel, Márcio de Oliveira Barros:
Risk-Aware Multi-stakeholder Next Release Planning Using Multi-objective Optimization. REFSQ 2016: 3-18 - [c143]Alessio Viticchié, Leonardo Regano, Marco Torchiano, Cataldo Basile, Mariano Ceccato, Paolo Tonella, Roberto Tiella:
Assessment of Source Code Obfuscation Techniques. SCAM 2016: 11-20 - 2015
- [j61]Surafel Lemma Abebe, Paolo Tonella:
Extraction of domain concepts from the source code. Sci. Comput. Program. 98: 680-706 (2015) - [j60]Mariano Ceccato, Alessandro Marchetto, Leonardo Mariani, Cu D. Nguyen, Paolo Tonella:
Do Automatically Generated Test Cases Make Debugging Easier? An Experimental Assessment of Debugging Effectiveness and Efficiency. ACM Trans. Softw. Eng. Methodol. 25(1): 5:1-5:38 (2015) - [c142]Paolo Tonella, Roberto Tiella:
Weekly Round Trips from Norms to Requirements and Tests: An Industrial Experience Report. RET@ICSE 2015: 20-26 - [c141]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
Results for EvoSuite - MOSA at the Third Unit Testing Tool Competition. SBST@ICSE 2015: 28-31 - [c140]Maurizio Leotta, Andrea Stocco, Filippo Ricca, Paolo Tonella:
Meta-heuristic Generation of Robust XPath Locators for Web Testing. SBST@ICSE 2015: 36-39 - [c139]Andrea Stocco, Maurizio Leotta, Filippo Ricca, Paolo Tonella:
Why Creating Web Page Objects Manually If It Can Be Done Automatically? AST@ICSE 2015: 70-74 - [c138]Maurizio Leotta, Andrea Stocco, Filippo Ricca, Paolo Tonella:
Using Multi-Locators to Increase the Robustness of Web Test Cases. ICST 2015: 1-10 - [c137]Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella:
Reformulating Branch Coverage as a Many-Objective Optimization Problem. ICST 2015: 1-10 - [c136]Maurizio Leotta, Andrea Stocco, Filippo Ricca, Paolo Tonella:
Automated generation of visual web tests from DOM-based web tests. SAC 2015: 775-782 - [c135]Antonio Carzaniga, Alberto Goffi, Alessandra Gorla, Andrea Mattavelli, Nicolò Perino, Mauro Pezzè, Paolo Tonella:
Intrinsic software redundancy for self-healing software systems, automated oracle generation. Software Engineering & Management 2015: 129-130 - 2014
- [j59]Paolo Tonella, Filippo Ricca, Alessandro Marchetto:
Recent Advances in Web Testing. Adv. Comput. 93: 1-51 (2014) - [j58]Mariano Ceccato, Massimiliano Di Penta, Paolo Falcarin, Filippo Ricca, Marco Torchiano, Paolo Tonella:
A family of experiments to assess the effectiveness and efficiency of source code obfuscation techniques. Empir. Softw. Eng. 19(4): 1040-1074 (2014) - [j57]Soumaya Medini, Venera Arnaoudova, Massimiliano Di Penta, Giuliano Antoniol, Yann-Gaël Guéhéneuc, Paolo Tonella:
SCAN: an approach to label and relate execution trace segments. J. Softw. Evol. Process. 26(11): 962-995 (2014) - [c134]Paolo Tonella, Mariano Ceccato, Bjorn De Sutter, Bart Coppens:
POSTER: A Measurement Framework to Quantify Software Protections. CCS 2014: 1505-1507 - [c133]Tanja E. J. Vos, Paolo Tonella, Wishnu Prasetya, Peter M. Kruse, Alessandra Bagnato, Mark Harman, Onn Shehory:
FITTEST: A new continuous and automated testing process for future Internet applications. CSMR-WCRE 2014: 407-410 - [c132]Paolo Tonella, Roberto Tiella, Duy Cu Nguyen:
Interpolated n-grams for model based testing. ICSE 2014: 562-572 - [c131]Chiara Di Francescomarino, Roberto Tiella, Chiara Ghidini, Paolo Tonella:
A Multi-objective Approach to Business Process Repair. ICSOC 2014: 32-46 - [c130]