Search Results - "Tonella, Paolo"

Testing machine learning based systems: a systematic mapping by Riccio, Vincenzo, Jahangirova, Gunel, Stocco, Andrea, Humbatova, Nargiz, Weiss, Michael, Tonella, Paolo

“…Context: A Machine Learning based System (MLS) is a software system including one or more components that learn how to perform a task from a given data set…”
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Empirical assessment of the effort needed to attack programs protected with client/server code splitting by Viticchié, Alessio, Regano, Leonardo, Basile, Cataldo, Torchiano, Marco, Ceccato, Mariano, Tonella, Paolo

“…Context Code hardening is meant to fight malicious tampering with sensitive code executed on client hosts. Code splitting is a hardening technique that moves…”
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A Comparative Phenotypic Study of Kallmann Syndrome Patients Carrying Monoallelic and Biallelic Mutations in the Prokineticin 2 or Prokineticin Receptor 2 Genes by Sarfati, Julie, Guiochon-Mantel, Anne, Rondard, Philippe, Arnulf, Isabelle, Garcia-Piñero, Alfons, Wolczynski, Slawomir, Brailly-Tabard, Sylvie, Bidet, Maud, Ramos-Arroyo, Maria, Mathieu, Michèle, Lienhardt-Roussie, Anne, Morgan, Graeme, Turki, Zinet, Bremont, Catherine, Lespinasse, James, Du Boullay, Hélène, Chabbert-Buffet, Nathalie, Jacquemont, Sébastien, Reach, Gérard, De Talence, Nicole, Tonella, Paolo, Conrad, Bernard, Despert, Francois, Delobel, Bruno, Brue, Thierry, Bouvattier, Claire, Cabrol, Sylvie, Pugeat, Michel, Murat, Arnaud, Bouchard, Philippe, Hardelin, Jean-Pierre, Dodé, Catherine, Young, Jacques

“…Context: Both biallelic and monoallelic mutations in PROK2 or PROKR2 have been found in Kallmann syndrome (KS). Objective: The objective of the study was to…”
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Further delineation of genotype-phenotype correlation in homozygous 2p21 deletion syndromes: First description of patients without cystinuria by Bartholdi, Deborah, Asadollahi, Reza, Oneda, Beatrice, Schmitt-Mechelke, Thomas, Tonella, Paolo, Baumer, Alessandra, Rauch, Anita

“…ABSTRACT Homozygous contiguous gene deletion syndromes are rare. On 2p21, however, several overlapping homozygous gene deletion syndromes have been described,…”
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Quality Metrics and Oracles for Autonomous Vehicles Testing by Jahangirova, Gunel, Stocco, Andrea, Tonella, Paolo

“…The race for deploying AI-enabled autonomous vehicles (AVs) on public roads is based on the promise that such self-driving cars will be as safe as or safer…”
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Boundary State Generation for Testing and Improvement of Autonomous Driving Systems by Biagiola, Matteo, Tonella, Paolo

“…Recent advances in Deep Neural Networks (DNNs) and sensor technologies are enabling autonomous driving systems (ADSs) with an ever-increasing level of…”
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Regulation of fetal growth: Consequences and impact of being born small by Mullis, Primus-E., MD, Tonella, Paolo, MSc

“…The first trimester of pregnancy is the time during which organogenesis takes place and tissue patterns and organ systems are established. In the second…”
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Confidence‐driven weighted retraining for predicting safety‐critical failures in autonomous driving systems by Stocco, Andrea, Tonella, Paolo

“…Safe handling of hazardous driving situations is a task of high practical relevance for building reliable and trustworthy cyber‐physical systems such as…”
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Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets by Panichella, Annibale, Kifetew, Fitsum Meshesha, Tonella, Paolo

“…The test case generation is intrinsically a multi-objective problem, since the goal is covering multiple test targets (e.g., branches). Existing search-based…”
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The Road Toward Dependable AI Based Systems by Tonella, Paolo

“…With the advent of deep learning, AI components have achieved unprecedented performance on complex, human competitive tasks, such as image, video, text and…”
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Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines by Weiss, Michael, Tonella, Paolo

“…Summary Deep neural networks (DNN) are increasingly used as components of larger software systems that need to process complex data, such as images, written…”
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Reformulating Branch Coverage as a Many-Objective Optimization Problem by Panichella, Annibale, Kifetew, Fitsum Meshesha, Tonella, Paolo

“…Test data generation has been extensively investigated as a search problem, where the search goal is to maximize the number of covered program elements (e.g.,…”
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Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems by Stocco, Andrea, Pulfer, Brian, Tonella, Paolo

“…Safe deployment of self-driving cars (SDC) necessitates thorough simulated and in-field testing. Most testing techniques consider virtualized SDCs within a…”
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When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study by Riccio, Vincenzo, Tonella, Paolo

“…Testing Deep Learning (DL) based systems inherently requires large and representative test sets to evaluate whether DL systems generalise beyond their training…”
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A large scale empirical comparison of state-of-the-art search-based test case generators by Panichella, Annibale, Kifetew, Fitsum Meshesha, Tonella, Paolo

“…Replication studies and experiments form an important foundation in advancing scientific research. While their prevalence in Software Engineering is…”
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Misbehaviour Prediction for Autonomous Driving Systems by Stocco, Andrea, Weiss, Michael, Calzana, Marco, Tonella, Paolo

“…Deep Neural Networks (DNNs) are the core component of modern autonomous driving systems. To date, it is still unrealistic that a DNN will generalize correctly…”
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Taxonomy of Real Faults in Deep Learning Systems by Humbatova, Nargiz, Jahangirova, Gunel, Bavota, Gabriele, Riccio, Vincenzo, Stocco, Andrea, Tonella, Paolo

“…The growing application of deep neural networks in safety-critical domains makes the analysis of faults that occur in such systems of enormous importance. In…”
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Model vs system level testing of autonomous driving systems: a replication and extension study by Stocco, Andrea, Pulfer, Brian, Tonella, Paolo

“…Offline model-level testing of autonomous driving software is much cheaper, faster, and diversified than in-field, online system-level testing. Hence,…”
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Interactive requirements prioritization using a genetic algorithm by Tonella, Paolo, Susi, Angelo, Palma, Francis

“…The order in which requirements are implemented affects the delivery of value to the end-user, but it also depends on technical constraints and resource…”
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A federated society of bots for smart contract testing by Viglianisi, Emanuele, Ceccato, Mariano, Tonella, Paolo

“…Smart contracts are a new type of software that allows its users to perform irreversible transactions on a distributed persistent data storage called the…”
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