COMPARATIVE EVALUATION OF PROCESS-ORIENTED AND OBJECT-ORIENTED METHODOLOGIES

Comparative Evaluation of Process-Oriented and Object-Oriented Methodologies

Comparative Evaluation of Process-Oriented and Object-Oriented Methodologies

Introduction

Intelligent and comprehensive investigation schemes are a mighty equipment for businesses to investigate their business. The implementation of such investigation schemes for an enterprise-wide administration and conclusion support can be very distinct from customary programs implementations. Because investigation schemes are powerfully data-driven, the development method is highly reliant on its inherent facts and numbers, which is usually retained in a facts and numbers warehouse. Data warehouse schemes usually anxiety numerous organisational units. Therefore, the assemblage of unambiguous, entire, verifiable, reliable and working obligations can be a very tough task. Use situations are advised as benchmark notation for object-oriented obligation modelling. We show how use situations enhances connection between domain professionals, facts and numbers warehouse experts, facts and numbers warehouse designers and other professionals with distinct backgrounds. This paper interprets how use situations can be utilised to extract obligations for facts and numbers warehouse schemes, and how to engage the organisational context in the modelling process. With an acclimatized object form, we illustrate how to arrest distinct investigation perspectives of the enterprise process. We evolve a predefined set of dimension things that pertains to every classic enterprise method and are adept to conceive diverse detail things, comprising these perspectives.

 

Discussion

A facts and numbers warehouse is a widespread queryable source of facts and numbers for investigation reasons, which is prime utilised as support for conclusion processes. It is multidimensional modelled and is utilised for the storage of historicized, cleansed, validated, synthesized, operative, interior and external data. Stakeholders of a facts and numbers warehouse scheme are involved in investigating their enterprise methods in a comprehensive and flexible way. Mostly they currently have a comprehensive comprehending of their enterprise methods, which they desire to discover and analyse.

What they really require is a outlook of their enterprise methods and its facts and numbers, which permits them an comprehensive investigation of their data. For this reason facts and numbers warehouses are modelled multidimensional, which corresponds to a usual outlook of its users. This investigation outlook of the enterprise methods can be very distinct to the general outlook even though the inherent process is the same. Hence it is essential to extract obligations from the stakeholder of a facts and numbers warehouse, which pertains to their investigation views. The conceive of facts and numbers warehouse scheme is highly reliant on these requirements. Very often facts and numbers warehouses are constructed without comprehending rightly these desires and obligations and accordingly go incorrect for that reason.

The next scenario can often depict the implementation of a new facts and numbers warehouse scheme in an enterprise: a scheme analyst of the IT department or advisor works simultaneously with the users to recount the desires and obligations for a facts and numbers warehouse system. A group of developers obtains these descriptions, but they have problem comprehending the enterprise terminology and find the recount too casual general to use for applying the facts ...