In the context of requirements engineering, stakeholders are often unaware of identifying and managing privacy and security requirements. The purpose of this paper is to present a tool, namely PReDUS, for the detection of privacy content from user stories. The core of the tool is the use of deep learning algorithms that exploit Natural Language Processing techniques and linguistic resources.
PReDUS: A Privacy Requirements Detector From User Stories
Casillo F.;Deufemia V.;Gravino C.
2022-01-01
Abstract
In the context of requirements engineering, stakeholders are often unaware of identifying and managing privacy and security requirements. The purpose of this paper is to present a tool, namely PReDUS, for the detection of privacy content from user stories. The core of the tool is the use of deep learning algorithms that exploit Natural Language Processing techniques and linguistic resources.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
