Assurance
* Verification - Did you build the thing right
* Validation - Did you build the right thing
* Testing - Not a exhaustive testing
* Use Automation, Coverage, Regression testing, Integration testing, Test Driven Design
Productivity
* Clarity via conciseness
- Syntax: short and easier to read
- Raise the level of abstraction
* Synthesis
-Automatic code generation
* Reuse
- Procedures and functions
- Standardized Libraries
- OOP
- Design Patterns
* Automation and tools
- Replace long and dull manual tasks with automation to save time and
improve accuracy
- Dependability or User interface
Software as a service ( SaaS )
* SaaS delivers software & data as a service
* No worries in installation
* No data loss
* Easy for groups to interact with same data
* Easier upgrading features
Service oriented architecture ( SOA )
* Software architecture, where all components are designed to be services
* Applications composed of inter operable services
Demands of SaaS
* Communication
* Scalability
* Dependability
* Cluster - commodity hardware
* Utility Computing / Public Cloud Computing
Cloud Computing
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In the SaaS model, cloud providers install and operate application software in the cloud and cloud users access the software from cloud clients. The cloud users do not manage the cloud infrastructure and platform on which the application is running. This eliminates the need to install and run the application on the cloud user's own computers simplifying maintenance and support. What makes a cloud application different from other applications is its scalability. This can be achieved by cloning tasks onto multiple virtual machines at run-time to meet the changing work demand.
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