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Have we ever wondered why are there not enough details on domain knowledge in various methodologies and frameworks related to software development although all of them emphasize that domain knowledge is the subject matter of the software being produced and is a core skill as such? While they recognize the importance of domain knowledge, they mostly rely on traditional ways of gaining it which is vast, subjective and requires long-term commitment. The root cause of this prolonged learning curve is availability of information in primarily unstructured formats such as manuals and specifications. Various knowledge structuring techniques try to bring commonality across different domains. However, they represent individual aspects of domain knowledge such as business process models for process, product specifications for products, data models for data and rule engines for business rules. Domain Knowledge Framework, also known as DKF takes this commonality to the next stage in a structure that can cater to multiple aspects (i.e., product, process, rule, data) of domain in a common domain agnostic structure. This structure is easily expanded to enterprise knowledge and project knowledge and can deliver an IT project with better quality with less cost. Knowledge structuring brings in quantification resulting in overall improvement in project delivery.
Choudhary et al. (Tue,) studied this question.
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