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- W1567427961 abstract "Context & motivation: More and more software projects today are security-related in one way or the other. Many environments are initially not considered security-related and no security experts are assigned. Requirements engineers often fail to recognise indicators for security problems. Question/problem: Ignoring security issues early in a project is a major source of recurring security problems in practice. Identifying security-relevant requirements is labour-intensive and error-prone. Security may be neglected in order to finish on time and in budget. Principal ideas/results: In this paper, we address this problem by presenting a tool-supported method that provides assistance for requirements engineering, with an emphasis on security requirements. We investigate whether security-relevant requirements can be automatically identified using a Bayesian classifier. Our results indicate that this is feasible, in particular if the classifier is trained with domain specific data and documents from previous projects. Contribution: We show how the ability to identify security-relevant requirements can be integrated in a workflow of requirements analysis and reuse of experience. In practice, this can increase security awareness within the software development process. We discuss limitations and potential of this approach." @default.
- W1567427961 created "2016-06-24" @default.
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- W1567427961 date "2011-01-01" @default.
- W1567427961 modified "2023-10-08" @default.
- W1567427961 title "Supporting Requirements Engineers in Recognising Security Issues" @default.
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- W1567427961 doi "https://doi.org/10.1007/978-3-642-19858-8_2" @default.
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