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Each CDRL data item should be linked directly to statement of work (SOW) tasks and managed by the program office data manager. Data requirements can also be identified in the contract via special contract clauses (e.g., DFARS), which define special data provisions such as rights in data, warranty, etc. SOW guidance of MIL-HDBK-245D describes ...
A statement of work (SOW) is a document routinely employed in the field of project management. It is the narrative description of a project's work requirement. [1]: 426 It defines project-specific activities, deliverables and timelines for a vendor providing services to the client. The SOW typically also includes detailed requirements and ...
Analyzing requirements: determining whether the stated requirements are clear, complete, unduplicated, concise, valid, consistent and unambiguous, and resolving any apparent conflicts. Analyzing can also include sizing requirements. Requirements analysis can be a long and tiring process during which many delicate psychological skills are involved.
A scope statement should be written before the statement of work and it should capture, in very broad terms, the product of the project (e.g., "developing a software-based system to capture and track orders for software"). A scope statement should also include the list of users using the product, as well as the features in the resulting product.
Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the ...
Requirements traceability is a sub-discipline of requirements management within software development and systems engineering.Traceability as a general term is defined by the IEEE Systems and Software Engineering Vocabulary [1] as (1) the degree to which a relationship can be established between two or more products of the development process, especially products having a predecessor-successor ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
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 .