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Artificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.
In systems engineering and software engineering, requirements analysis focuses on the tasks that determine the needs or conditions to meet the new or altered product or project, taking account of the possibly conflicting requirements of the various stakeholders, analyzing, documenting, validating, and managing software or system requirements.
Requirements engineering (RE) [1] is the process of defining, documenting, and maintaining requirements [2] in the engineering design process. It is a common role in systems engineering and software engineering .
The PMI guide Requirements Management: A Practical Guide recommends that a requirements tool should be identified at the beginning of the project, as [requirements] traceability can get complex and that switching tool mid-term could present a challenge.
For example, a maximum development cost requirement (a process requirement) may be imposed to help achieve a maximum sales price requirement (a product requirement); a requirement that the product be maintainable (a product requirement) often is addressed by imposing requirements to follow particular development styles (e.g., object-oriented ...
Requirements management involves communication between the project team members and stakeholders, and adjustment to requirements changes throughout the course of the project. [3] To prevent one class of requirements from overriding another, constant communication among members of the development team is critical.
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