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pro vyhledávání: '"de Lucia, Andrea"'
Autor:
Voria, Gianmario, Sellitto, Giulia, Ferrara, Carmine, Abate, Francesco, De Lucia, Andrea, Ferrucci, Filomena, Catolino, Gemma, Palomba, Fabio
Machine learning's widespread adoption in decision-making processes raises concerns about fairness, particularly regarding the treatment of sensitive features and potential discrimination against minorities. The software engineering community has res
Externí odkaz:
http://arxiv.org/abs/2408.16683
Context. Quantum computing is becoming a reality, and quantum software engineering (QSE) is emerging as a new discipline to enable developers to design and develop quantum programs. Objective. This paper presents a systematic mapping study of the cur
Externí odkaz:
http://arxiv.org/abs/2305.19683
Unit testing verifies the presence of faults in individual software components. Previous research has been targeting the automatic generation of unit tests through the adoption of random or search-based algorithms. Despite their effectiveness, these
Externí odkaz:
http://arxiv.org/abs/2204.05561
Quantum computing is no longer only a scientific interest but is rapidly becoming an industrially available technology that can potentially overcome the limits of classical computation. Over the last years, all major companies have provided framework
Externí odkaz:
http://arxiv.org/abs/2203.16969
Publikováno v:
In Information and Software Technology November 2024 175
Autor:
Catolino, Gemma, Palomba, Fabio, Fontana, Francesca Arcelli, De Lucia, Andrea, Zaidman, Andy, Ferrucci, Filomena
Code smells represent sub-optimal implementation choices applied by developers when evolving software systems. The negative impact of code smells has been widely investigated in the past: besides developers' productivity and ability to comprehend sou
Externí odkaz:
http://arxiv.org/abs/1905.10889
Akademický článek
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Akademický článek
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Publikováno v:
Phys. Rev. B 96, 020405 (2017)
Magnetic Skyrmions belong to the most interesting spin structures for the development of future information technology as they have been predicted to be topologically protected. To quantify their stability, we use an innovative multiscale approach to
Externí odkaz:
http://arxiv.org/abs/1702.05767
Publikováno v:
Phys. Rev. B 94, 184415 (2016)
Simulations of magnetization dynamics in a multiscale environment enable rapid evaluation of the Landau-Lifshitz-Gilbert equation in a mesoscopic sample with nanoscopic accuracy in areas where such accuracy is required. We have developed a multiscale
Externí odkaz:
http://arxiv.org/abs/1609.09295