Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Abdellatif, Manel"'
Deep reinforcement learning algorithms (DRL) are increasingly being used in safety-critical systems. Ensuring the safety of DRL agents is a critical concern in such contexts. However, relying solely on testing is not sufficient to ensure safety as it
Externí odkaz:
http://arxiv.org/abs/2308.02594
Deep neural networks (DNNs) are widely used in various application domains such as image processing, speech recognition, and natural language processing. However, testing DNN models may be challenging due to the complexity and size of their input dom
Externí odkaz:
http://arxiv.org/abs/2303.04878
Autor:
Zolfagharian, Amirhossein, Abdellatif, Manel, Briand, Lionel, Bagherzadeh, Mojtaba, S, Ramesh
Publikováno v:
in IEEE Transactions on Software Engineering, vol. 49, no. 7, pp. 3715-3735, July 2023
Deep Reinforcement Learning (DRL) algorithms have been increasingly employed during the last decade to solve various decision-making problems such as autonomous driving and robotics. However, these algorithms have faced great challenges when deployed
Externí odkaz:
http://arxiv.org/abs/2206.07813
Publikováno v:
IEEE Transactions on Software Engineering (TSE) (2023) 1-26
Deep Neural Networks (DNNs) have been extensively used in many areas including image processing, medical diagnostics, and autonomous driving. However, DNNs can exhibit erroneous behaviours that may lead to critical errors, especially when used in saf
Externí odkaz:
http://arxiv.org/abs/2112.12591
Autor:
Tighilt, Rafik, Abdellatif, Manel, Trabelsi, Imen, Madern, Loïc, Moha, Naouel, Guéhéneuc, Yann-Gaël
Publikováno v:
In The Journal of Systems & Software October 2023 204
Autor:
Shatnawi, Anas, Mili, Hafedh, Abdellatif, Manel, Guéhéneuc, Yann-Gaël, Moha, Naouel, Hecht, Geoffrey, Boussaidi, Ghizlane El, Privat, Jean
Identifying dependency call graphs of multilanguage software systems using static code analysis is challenging. The different languages used in developing today's systems often have different lexical, syntactical, and semantic rules that make thoroug
Externí odkaz:
http://arxiv.org/abs/1906.00815
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Shatnawi, Anas, Mili, Hafedh, Abdellatif, Manel, Boussaidi, Ghizlane El, Guéhéneuc, Yann-Gaël, Moha, Naouel, Privat, Jean
In this paper, we answer a set of research questions that are required to develop service identification approach based on the analysis of object- oriented software. Such research questions are: (1) what is a service, (2) how are services different f
Externí odkaz:
http://arxiv.org/abs/1803.05282
Autor:
Shatnawi, Anas, Mili, Hafedh, Abdellatif, Manel, Boussaidi, Ghizlane El, Privat, Jean, Guéhéneuc, Yann-Gaël, Moha, Naouel
In this report, we propose our approach that identifies a KDM model of JSP pages. Our approach is based on two main steps. The first one aims to reduce the problem space by translating JSP pages into Java Servlets where we can use existing tools to i
Externí odkaz:
http://arxiv.org/abs/1803.05270
Autor:
Shatnawi, Anas, Mili, Hafedh, Abdellatif, Manel, Privat, Jean, Guéhéneuc, Yann-Gaël, Moha, Naouel, Boussaidi, Ghizlane El
In this paper, we propose a program slicing approach for the output stream object in JEE applications. Our approach is based on extracting a dependency call graph from KDM models of JEE applications. Then, it applies breath-first search algorithm to
Externí odkaz:
http://arxiv.org/abs/1803.05260