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IT System Development Lifecycles (SDLC) Methodologies

IT System Development Life cycles (SDLCs) Each methodology contains everything you need to be successful - concise task descriptions, clearly defined roles and responsibilities, deliverable descriptions, templates and examples. It consists of:

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Standard Development Baseline

This development path supports the creation of large applications. It is a complete, concise methodology - containing all of the definitions, topics, roles and responsibilities and deliverables needed for success.

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Client Server Design
Client/Server architectures require special considerations for proper distribution of data and processes. This path utilizes event based modeling techniques and covers distributed architecture considerations.

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Client Server Development (Object Oriented)
This full-life-cycle methodology utilizes object-oriented development methods and techniques and is target at distributed applications development.
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Component Based Development
This development path utilizes staged analysis/design/construction techniques to deliver incremental system functionality. Each stage delivers usable application components.
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Rapid Application Development
This development path applies proven group facilitation and prototyping techniques to gather requirements and produce a high quality system in a fast development environment.  RAD is extremely useful in situations where project scope is well known and tight deadlines must be met.
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Internet Applications Design
Web-enabled architectures involve careful attention to architecture, deployment and security implications. This path utilizes UML modeling techniques and covers web architecture considerations.
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Purchased Package Acquisition and Adaptation
This path covers all aspects of Acquisition and Adaptation of a Commercial Off-the-Shelf (COTS) package. It includes considerations for integrating data and process models of COTS with existing application models.
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Small Systems Development
Every organization is faced with dozens of small, short-cycle application development projects. The Small Systems path contains tasks to manage the issues inherent in these projects and integrate the new system into an overall architecture.
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Decision Support Systems Development
Decision support systems and data warehousing frameworks supply businesses with consistent historical information for strategic and long-term business planning.  This path includes datamart, data warehouse, operational data store, and metadata repository architectures.

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