Business Process Capture (e.g. Rational Software Tools, Ptech, TAU)
	Requirements Management (e.g. Rational Software Tools, Ptech, DOORS)
	Software Engineering Life-Cycle Software Requirements, Visual Modeling  (UML), Automated Testing, Change Management (Rational Software Tool)
	Client-Server Application Characterization and Performance Monitoring  (e.g. OpNet Modeling Tools)
	Network Topology Modeling, Simulation and Performance Assessment  (OpNet Modeling & Simulation Tools)
	Protocol Modeling, Simulation and Performance Assessment   (OpNet Modeling & Simulation Tools)
	"What-if" Network Scenario Testing  (OpNet Modeling & Simulation Tools)

Business Process Capture

CSI staff performs business modeling:

	To understand the structure and the dynamics of a target organization in  which a system is being deployed.
	To understand current problems in the target organization and identify  potential improvement.
	To ensure that customers, end users, and other stakeholders have a  common understanding of the target organization.
	To derive requirements needed to support the target organization.

Requirements Management

CSI staff performs requirements workflow modeling and management:

	To establish and maintain agreement with customers and other  stakeholders on what the system should do.
	To provide system developers with a better understanding of system  requirements and service level agreements (SLAs).
	To delimit the target system(s).
	To provide a basis for planning and establishing the technical iterations.
	To provide a basis for estimating cost and time to develop a system.
	To define a user-interface for the system, focusing on the needs and goals  of the users and stakeholders.

Software Engineering Life-cycle

CSI consultants performs Software Engineering Life-Cycle Analysis & Design modeling:

	To transform requirements into a design of the to-be-built-system.
	To evolve an effective architecture that supports the system and scalability.
	To adapt design and implementation environments
	To design and develop applications with functionality, scalability and  performance in mind.

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Client-Server Application Characterization and Network Performance Modeling/Simulation

CSI staff use comprehensive tools to model, simulate, and analyze performance of communications network topologies, protocol, client-server applications, and the like.  We analyze, model, simulate, recommend and plan network performance:

Diagnose Problems

	Visualize network, traffic flow, and application transactions.
	Debug network configuration errors.
	Pinpoint bottlenecks.
	Troubleshoot application performance problems

Validate Changes Prior to Implementation

	Catch configuration errors or protocol conflicts introduced by  modifications to device configuration files.
	Test network configuration changes before implementation.
	Predict link utilization after configuration or topological changes  during Flow Analysis.
	Tune Protocols and verify that protocol tuning achieves the desired  effect.
	Validate Quality of Service (QoS) policies prior to deployment:  Enhanced Hybrid Simulation accurately estimates benefits of QoS  policy modifications.
	Analyze server upgrades and relocations: Server models predict  performance benefits of changes to server configurations (CPUs,  disk interfaces), location, and replication strategies.
	Right-size capacity upgrades.

Plan Ahead for Growth and Availability

	Leverage discovery from network management platforms by importing  topology data.
	Create virtual networks from device configuration files.
	Load network traffic and utilization data from traffic data collection  tools.
	Import network data from standard formats (XML, ASCII).
	Establish budgets with quantitative justifications.
	Design cost-effective, optimized networks that incorporate new  technologies such as wireless LANs, Gigabit Ethernet, ATM, or VoIP.
	Define realistic Service Level Agreements for application response  times: Define service-level agreements (SLAs) for any statistic, such  as application response time.
	Plan upgrades for traffic growth or new facilities: Simulate projected  traffic growth to identify necessary network upgrades and associated  costs.
	Optimize deployment of new technologies and mission-critical  applications.
	Optimize labor-intensive application deployments by right-sizing  network resources, fine-tuning protocols, and configuring servers in  advance.
	Design networks with resilience to failure: Perform exhaustive failure  analysis to determine risks areas, and plan redundant routes.