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This model can also be used in the next phase of the software development (implementation) to generate code through tools such as (Yakindu Statechart Tools 2016).
This approach is applicable at design time, not requiring source code, thus enabling detection and removal of some defects at an early phase of the software development lifecycle.
Model-based change-proneness prediction helps to make high-quality software by exploiting design models from the earlier phase of the software development process.
The experimental results show the effectiveness of the predictor built on the combination of the requirement and design metrics in the early phase of the software development process.
This differentiation is used to emphasize the phase of the software development they appear, while requirements elements describe the stakeholders' needs, design ones express a possible way to fulfil those needs.
The prototype of NFES was simulated using some life data and the performance results obtained point to the DSSA responsiveness to the users' requirements that are defined at the requirements definition phase of the software development process.
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This is performed during design, development, and testing phases of the software development life cycle.
This difference held for all phases of the software development life cycle.
This area of research focuses on considering security and privacy threats in the early phases of the software development lifecycle.
Also, the extension makes AuthUML spans to different phases of the software development process that widen the application of AuthUML.
These issues are more pronounced when the effort prediction is used during the early phases of the software development lifecycle.
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