System Integration Testing

Unifying diverse systems, seamlessly

As a result, the application is tested in order to verify that it meets the standards set by the client as a part of the System Integration Testing.

AppLabs performs System Integration Testing to ensure that all related systems exchange data seamlessly, verifying a system’s ability to operate as expected with other systems within the same environment. System Integration Testing requires close coordination across all streams/applications and makes sure that all systems have been integrated successfully by verifying the flows between the systems, ensuring the system that might consist of multiple sub-systems to produce the expected result.

AppLabs follows a Black Box approach to System Integration Testing. The focus is on testing the functional requirements for the applications. AppLabs System Integration Testing will cover as many paths as possible through the application based on varying data and actions of the user.

AppLabs uses functional testing, performance testing, load testing, stress testing, volume testing, usability testing, etc., as part of the black box testing strategy.

AppLabs’ SIT Test Design Techniques for developing Test Cases:

• Equivalence partitioning:The functionality of the component is divided into multiple equivalent portions.
• Boundary value analysis:Minimum and maximum values are identified. Test cases are designed around Min-1, Min, Min+1, Max-1, Max, and Max+1 values.
• Decision table testing:Test cases are designed based on the conditions/actions and the business rules.
• State transition testing:Test cases are designed by identifying the transition states in the application transactions.
• Use case testing:Test cases are designed with scenarios representing a series of logical actions from an end user’s perspective.
• Load Testing:The application is tested against heavy loads or inputs to determine the point at which the web-site/application fails or at what point its performance becomes unacceptable.
• Volume Testing:Large amounts of data are processed through the application being tested to check the extreme limitations of the system.
• Usability Testing:This testing is also called as ‘Testing for User-Friendliness’. This testing is done if User Interface of the application stands an important consideration and needs to be specific for the specific type of user.
• Orthogonal Array Testing Strategy (OATS) technique: Orthogonal Array Testing Strategy (OATS) is a systematic, statistical way of testing pair-wise interactions. AppLabs’ OATS provides representative (uniformly distributed) coverage of all variable pair combinations. It is useful for integration testing of software components (especially in OO systems where multiple subclasses can be substituted as the server for a client). It is also useful for testing combinations of configurable options (such as a web page that lets the user choose the font style, background colour, and page layout).
• Graph Based Testing Technique: Applications are built up with some objects. These objects are identified and a graph is prepared. From this object graph each object relationship is identified and test cases are written accordingly to discover the errors.