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This section presents our meta-model for requirements management.
This paper presents a comprehensive meta-model for requirements management.
The core concepts of a single meta-model for requirements engineering are presented alongside exemplary usage showing the power of the language together with its graphical notation.
The data collected was based on a new meta-model for requirements decisions, which is a bi-product of this study.
Related work on requirement management methods, meta-models, and UML profiles are discussed in Section 3. The general requirements process concepts are discussed in Section 4. Our meta-model for requirements management is presented in Section 5.
Ramesh and Jarke [18] present reference models for requirements traceability based on focus groups and interviews conducted in 26 software development organizations.
Table 8 Multivariate regression model for transfusion requirements Independent variable Regression coefficient 95% Confidence interval P value Age (years) 0.021 (.017) −0.13 to 0.054 0.230 Preoperative hemoglobin concentration (g/dl) −0.642 (0.157 −0.952 to −0.3322 <0.001* Blood loss (g/dl) 0.752 0.499 1.006 <0.001* * Statistically significant.
Use the company's usage model, initial domain model, and initial user interface model to create the model for initial requirements.
Each of these three alternatives constructs an executable requirements model for verifying the requirements and results in higher-quality requirements.
The modeling of requirements for development and verification has also been widely studied.
It is challenging to develop comprehensive, consistent, analyzable requirements models for evolving requirements.
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