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pro vyhledávání: '"Ferreyra, Nicolás E. Díaz"'
In this paper, we present MADE-WIC, a large dataset of functions and their comments with multiple annotations for technical debt and code weaknesses leveraging different state-of-the-art approaches. It contains about 860K code functions and more than
Externí odkaz:
http://arxiv.org/abs/2408.05163
Autor:
Tony, Catherine, Ferreyra, Nicolás E. Díaz, Mutas, Markus, Dhiff, Salem, Scandariato, Riccardo
Large Language Models (LLMs) are gaining momentum in software development with prompt-driven programming enabling developers to create code from natural language (NL) instructions. However, studies have questioned their ability to produce secure code
Externí odkaz:
http://arxiv.org/abs/2407.07064
Autor:
Ferreyra, Nicolás E. Díaz, Shahin, Mojtaba, Zahedi, Mansooreh, Quadri, Sodiq, Scandariato, Ricardo
Self-Admitted Technical Debt (SATD) encompasses a wide array of sub-optimal design and implementation choices reported in software artefacts (e.g., code comments and commit messages) by developers themselves. Such reports have been central to the stu
Externí odkaz:
http://arxiv.org/abs/2401.12768
Autor:
Cao, Clinton, Schneider, Simon, Ferreyra, Nicolás E. Díaz, Verwer, Sicco, Panichella, Annibale, Scandariato, Riccardo
The microservice architecture allows developers to divide the core functionality of their software system into multiple smaller services. However, this architectural style also makes it harder for them to debug and assess whether the system's deploym
Externí odkaz:
http://arxiv.org/abs/2401.09838
Autor:
Schneider, Simon, Ferreyra, Nicolás E. Díaz, Quéval, Pierre-Jean, Simhandl, Georg, Zdun, Uwe, Scandariato, Riccardo
Models of software systems are used throughout the software development lifecycle. Dataflow diagrams (DFDs), in particular, are well-established resources for security analysis. Many techniques, such as threat modelling, are based on DFDs of the anal
Externí odkaz:
http://arxiv.org/abs/2401.04446
Large Language Models (LLMs) like Codex are powerful tools for performing code completion and code generation tasks as they are trained on billions of lines of code from publicly available sources. Moreover, these models are capable of generating cod
Externí odkaz:
http://arxiv.org/abs/2303.09384
Autor:
Ferreyra, Nicolás E. Díaz, Shahi, Gautam Kishore, Tony, Catherine, Stieglitz, Stefan, Scandariato, Riccardo
During the outbreak of the COVID-19 pandemic, many people shared their symptoms across Online Social Networks (OSNs) like Twitter, hoping for others' advice or moral support. Prior studies have shown that those who disclose health-related information
Externí odkaz:
http://arxiv.org/abs/2303.09135
Social Coding Platforms (SCPs) like GitHub have become central to modern software engineering thanks to their collaborative and version-control features. Like in mainstream Online Social Networks (OSNs) such as Facebook, users of SCPs are subjected t
Externí odkaz:
http://arxiv.org/abs/2303.01822
GitHub is a popular data repository for code examples. It is being continuously used to train several AI-based tools to automatically generate code. However, the effectiveness of such tools in correctly demonstrating the usage of cryptographic APIs h
Externí odkaz:
http://arxiv.org/abs/2211.13498
Online self-disclosure is perhaps one of the last decade's most studied communication processes, thanks to the introduction of Online Social Networks (OSNs) like Facebook. Self-disclosure research has contributed significantly to the design of preven
Externí odkaz:
http://arxiv.org/abs/2208.04649