Um catálogo de padrões de requisitos de privacidade baseado na lei geral de proteção de dados pessoais
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Data
2024-03-18
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Universidade Federal de Goiás
Resumo
[Context] Currently, Brazilian companies are concerned about protecting the personal
data of their customers and employees to ensure the privacy of these individuals. This
concern arises from the fact that personal data protection is an obligation imposed by the
General Data Protection Law (LGPD). Since most organizations store this data digitally
to carry out various operations, software must comply with the current legislation.
[Problem] According to recent research, a large portion of professionals in the software
industry do not have comprehensive knowledge of privacy requirements or the LGPD.
[Objective] The objective of this work is to construct and evaluate a Catalog of Privacy
Requirement Patterns (CPRP) based on the LGPD. [Method] A method for syntactic
analysis of the articles composing the LGPD was defined to extract privacy requirements.
These requirements were converted into requirement patterns (RP) using a method for
constructing RP catalogs based on the grammar of the Software Pattern Metamodel
(SoPaMM), with the support of the Terminal Model Editor (TMed) tool. Finally, two
experts in LGPD and Software Engineering evaluated the completeness and correctness
of the developed catalog concerning the legislation. [Contributions] The conversion of
legal requirements into privacy RPs can assist professionals in eliciting and specifying
requirements, as privacy requirements can be reused in various contexts with minor or
any modifications.
Descrição
Palavras-chave
Padrão de requisito de software , Reúso , Elicitação , Especificação , Privacidade , Lei Geral de Proteção de Dados Pessoais , Catálogo de padrões , Experimentação , Software requirement pattern , Reuse , Elicitation , Specification , Privacy , General Data Protection Law , Pattern catalogue , Experimentation
Citação
Carneiro, Cinara Gomes de Melo. Um catálogo de padrões de requisitos de privacidade baseado na lei geral de proteção de dados pessoais. 2024. 105p. Dissertação (Mestrado em Ciência da Computação ) - Instituto de Informática, Universidade Federal de Goiás, Goiânia, 2024.