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:
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.
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.
Client Server Development (Object Oriented)
This full-life-cycle methodology utilizes object-oriented development methods and techniques and is target at distributed applications development.
Component Based Development
This development path utilizes staged analysis/design/construction techniques to deliver incremental system functionality. Each stage delivers usable application components.
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.
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.
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.
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.
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.