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Testing Worshop in Software Engineering Project Department of Computer Science Ben-Gurion university 1 Worshop in SE Project Spring 2013

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Testing. Worshop in Software Engineering Project Department of Computer Science Ben-Gurion university. Classification. Tests are boolean: Pass or fail! White-box testing: Unit testing Follow computation paths (code coverage) Test scenarios derived from use cases (data coverage) - PowerPoint PPT Presentation

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Page 1: Testing

Testing

Worshop in Software Engineering ProjectDepartment of Computer Science

Ben-Gurion university

1Worshop in SE ProjectSpring 2013

Page 2: Testing

Software Engineering, 2005 Design Patterns – Creational patterns 2

Classification Tests are boolean: Pass or fail!1. White-box testing:

1. Unit testing1. Follow computation paths (code coverage)2. Test scenarios derived from use cases (data coverage)3. Test non-functional requirements (data coverage)

2. Integration testing1. Test integration scenarios derived from functional and

non-functional requirements

2. Black-box testing1. Test scenarios derived from use cases (data coverage)2. Test non-functional requirements (data coverage)

3.Regression testing

Page 3: Testing

Software Engineering, 2005 Design Patterns – Creational patterns 3

Unit testing – Follow computation paths

1. White-box testing:1. Unit testing

1. Follow computation paths (code coverage)2. Test scenarios derived from use cases (data coverage)3. Test non-functional requirements (data coverage)

Code coverage: Statement, line coverage Branch coverage

Code complexity – e.g., cyclomatic complexity Related to data coverage

Page 4: Testing

Software Engineering, 2005 Design Patterns – Creational patterns 4

Unit testing – Use-case scenarios

1. White-box testing:1. Unit testing

1. Follow computation paths (code coverage)

2. Test scenarios derived from use cases (data coverage)

3. Test non-functional requirements (data coverage)

Use-case coverage: Build scenarios for use-case alternatives

Use sequence diagrams for scenario specification What is the relevance of use-case diagrams?

Data coverage How to test “big, complex” data, like a big graph?

Page 5: Testing

Software Engineering, 2005 Design Patterns – Creational patterns 5

Unit testing – Non-functional requirements

1. White-box testing:1. Unit testing

1. Follow computation paths (code coverage)2. Test scenarios derived from use cases (data coverage)3. Test non-functional requirements (data coverage)

How to create Data? How to test success/failure Beware of side-effects

Page 6: Testing

Software Engineering, 2005 Design Patterns – Creational patterns 6

Integration testing

1. White-box testing:1. Unit testing

2. Integration testing1. Test integration scenarios derived from functional and

non-functional requirements1. Use sequence diagrams to emphasize inter-module

interaction

Page 7: Testing

Software Engineering, 2005 Design Patterns – Creational patterns 7

Black-box: Test Use case scenarios

How different from white-box testing?

1. Black-box testing Positive tests Negative tests Use customer advice for testing data

1. Test scenarios derived from use cases (data coverage)

2. Test non-functional requirements (data coverage)


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