Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Damasceno, Carlos Diego Nascimento"'
Access Control (AC) is a major pillar in software security. In short, AC ensures that only intended users can access resources and only the required access to accomplish some task will be given. In this context, Role Based Access Control (RBAC) has b
Thousands of vulnerabilities are reported on a monthly basis to security repositories, such as the National Vulnerability Database. Among these vulnerabilities, software misconfiguration is one of the top 10 security risks for web applications. With
Externí odkaz:
http://arxiv.org/abs/2209.15620
Autor:
Tavassoli, Shaghayegh, Damasceno, Carlos Diego Nascimento, Khosravi, Ramtin, Mousavi, Mohammad Reza
Behavioral models enable the analysis of the functionality of software product lines (SPL), e.g., model checking and model-based testing. Model learning aims at constructing behavioral models for software systems in some form of a finite state machin
Externí odkaz:
http://arxiv.org/abs/2207.04823
Autor:
Tavassoli, Shaghayegh, Damasceno, Carlos Diego Nascimento, Mousavi, Mohammad Reza, Khosravi, Ramtin
Behavioral models are the key enablers for behavioral analysis of Software Product Lines (SPL), including testing and model checking. Active model learning comes to the rescue when family behavioral models are non-existent or outdated. A key challeng
Externí odkaz:
http://arxiv.org/abs/2203.05215
Research artifact sharing is known to strengthen the transparency of scientific studies. However, in the lack of common discipline-specific guidelines for artifacts evaluation, subjective and conflicting expectations may happen and threaten artifact
Externí odkaz:
http://arxiv.org/abs/2109.02304
Sharing research artifacts is known to help people to build upon existing knowledge, adopt novel contributions in practice, and increase the chances of papers receiving attention. In Model-Driven Engineering (MDE), openly providing research artifacts
Externí odkaz:
http://arxiv.org/abs/2108.04652
Autor:
Damasceno, Carlos Diego Nascimento, Lobato, Fabio Manoel França, Moutinho, Elton Rocha, de França, Arilene Santos, de Oliveira, Ivan Ikikame, de Santana, Ádamo Lima
The Knowledge Discovery in Database (KDD) process permits the detection of pattern in databases, where this analysis may be compromised if database is not consistent, making necessary the use of data cleaning techniques. This paper presents a tool ba
Externí odkaz:
http://arxiv.org/abs/2107.12884
Autor:
Pun, Ka I, Stolz, Volker, Fazeldehkordi, Elahe, Owe, Olaf, Ramezanifarkhani, Toktam, Damasceno, Carlos Diego Nascimento, Ahishakiye, Faustin, Kristensen, Lars Michael, Tabar, Asmae Heydari, Bubel, Richard, Hähnle, Reiner, Sagemüller, Justus, Verdier, Olivier
Externí odkaz:
https://hdl.handle.net/11250/2719437
Autor:
Damasceno, Carlos Diego Nascimento, Jakobs, Marie-Christine, Lambers, Leen, Uchitel, Sebastián
Publikováno v:
In Science of Computer Programming February 2025 240
Publikováno v:
Empirical Software Engineering; Jan2021, Vol. 26 Issue 1, p1-46, 46p