Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process An 2017
DOI: 10.1145/3143434.3143461
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Using FSM patterns to size security non-functional requirements with COSMIC

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Cited by 3 publications
(12 citation statements)
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“…On the other hand, customers use software size to control their suppliers' price/performance, the delivered product quality, etc. In addition to its advantages compared to the first FSM generation methods, COSMIC has been successfully used for approximate sizing variants for use in early/rapid project estimation [11], guidance on how to deal with non-functional requirements (cf., [2], [12]), sizing functional change requests (cf., [9], [10]), and making decisions on software project development (cf., [21], [3]). Fig.…”
Section: B Cosmic Fsm Methods Overviewmentioning
confidence: 99%
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“…On the other hand, customers use software size to control their suppliers' price/performance, the delivered product quality, etc. In addition to its advantages compared to the first FSM generation methods, COSMIC has been successfully used for approximate sizing variants for use in early/rapid project estimation [11], guidance on how to deal with non-functional requirements (cf., [2], [12]), sizing functional change requests (cf., [9], [10]), and making decisions on software project development (cf., [21], [3]). Fig.…”
Section: B Cosmic Fsm Methods Overviewmentioning
confidence: 99%
“…As shown in Table I, several studies have recently proposed to measure the functional size of some system-NFR such as portability, security, performance, etc. Some of these studies used FSM methods such as COSMIC (cf., [2], [12]), while others proposed their own methods and tools (cf., [24], [25]). For instance, Kassab et al, [12] proposed to apply the COSMIC-FFP method in measuring the functional size of non-functional requirements in order to reduce the uncertainty in software estimation.…”
Section: Related Work a Measuring Non-functional Requirements Overviewmentioning
confidence: 99%
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