Software Testing Unit 2

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Questions and Answers

What is the concept of the mutation score in mutation testing?

The mutation score is a measure used to evaluate the effectiveness of a set of test cases in identifying faults by assessing how many of the mutations (changes) introduced in the code are detected by the tests.

What are definition-use chains (DU-chains) in data flow testing?

Definition-use chains are paths that show how variables are defined and used throughout a program, helping in identifying potential faults related to data flow.

How is cyclomatic complexity calculated and what is its significance in control flow testing?

Cyclomatic complexity is calculated by determining the number of linearly independent paths through a program's source code. It is significant as it helps in measuring the complexity of the program and can inform testing efforts.

What is cause-effect graphing and why is it significant in the testing process?

Cause-effect graphing is a testing technique that represents the relationship between different causes (inputs) and their effects (outputs) in a system, facilitating systematic test case generation. Signup and view all the answers

What are the advantages and limitations of Decision Table Based Testing?

Advantages include its ability to provide a systematic approach for testing different combinations of inputs and outputs. Limitations include the complexity of creating tables for systems with many conditions. Signup and view all the answers

How does mutation testing differ from traditional testing techniques?

Mutation testing differs from traditional testing by introducing small changes (mutations) into the code to evaluate the effectiveness of test cases, rather than solely relying on executing the original code. Signup and view all the answers

How can data flow testing be integrated into the software development lifecycle?

Data flow testing can be integrated into the software development lifecycle by incorporating it during the design and implementation stages to proactively identify data-related issues. Signup and view all the answers

What are the strengths and weaknesses of mutation testing compared to other testing methods?

Strengths include its ability to reveal weaknesses in test cases by exposing undetected faults. Weaknesses include its higher complexity and resource requirements compared to traditional methods. Signup and view all the answers

What are the differences between Decision Table Based Testing and other testing techniques like Equivalence Partitioning and Boundary Value Analysis?

Decision Table Based Testing focuses on combinations of different conditions, while Equivalence Partitioning divides input data into equivalent partitions and Boundary Value Analysis tests the boundaries of these partitions. Signup and view all the answers

Study Notes

Software Testing Unit 2

Software Testing (KCS076) is a subject for 4th year, 7th semester B.Tech CSE students.
Course Coordinator/Faculty: Mr.Rudrendra Bahadur Singh and Mr.Praveen Pandey
Course Outcome 1 (CO1): Apply software testing knowledge and engineering methods.

Long Answer Type Questions

Mutation Testing:
- Mutation Score: A metric used to evaluate the effectiveness of a test suite in detecting faults. It is calculated as the percentage of mutants killed by the test suite. A higher score indicates a more effective test suite.
Data Flow Testing:
- Definition-Use Chains (DU-chains): Trace the flow of data from its definition (where it is assigned a value) to its use (where the value is accessed). This helps identify potential errors and ensures thorough testing.
Control Flow Testing:
- Cyclomatic Complexity: A metric used to measure the complexity of a program's control flow. It is calculated using the formula: V(G) = E - N + 2, where E is the number of edges and N is the number of nodes in the control flow graph. Higher complexity indicates greater difficulty testing and potential for defects.
Cause-Effect Graphing:
- A technique that visually represents the relationship between the cause and effect of a program. It helps identify possible test cases and ensures thorough testing.

Short Answer Type Questions

Mutation Testing vs. Traditional Testing:
- Mutation testing uses a more systematic approach to test code by introducing deliberate faults (mutations) and then evaluating the effectiveness of the test suite in detecting these faults.
- Traditional testing focuses on testing the program based on the specification and requirements, while mutation testing goes a step further by actively trying to introduce faults.
Data Flow Testing Integration:
- Data flow testing can be integrated throughout the software development lifecycle by using it during design reviews to identify potential data flow problems, during coding to ensure that data flow is implemented correctly, and during testing to evaluate the effectiveness of the test suite in detecting data flow related faults.
Data Flow Testing Effectiveness:
- Strengths:
  - Effective in detecting faults related to data flow and data dependencies.
  - Can help identify missing or incorrect data validation.
- Weaknesses:
  - Limited to data flow related errors.
  - May not be enough if focusing only on control flow.
Mutation Testing Strengths and Weaknesses:
- Strengths:
  - Systematic and thorough in identifying faults.
  - Provides feedback on the effectiveness of the test suite.
- Weaknesses:
  - Can be time-consuming and computationally expensive.
  - May not identify all potential faults.
Decision Table Based Testing vs. Equivalence Partitioning and Boundary Value Analysis:
- Decision Table Based Testing helps test complex logic by systematically representing the decision-making conditions and their corresponding actions. Useful for testing systems with many combinations.
- Equivalence Partitioning divides the input domain of a system into equivalence classes, where each class has similar behavior. Useful for testing valid and invalid inputs.
- Boundary Value Analysis tests the boundaries of each equivalence class, focusing on potential errors that occur at these boundaries. Useful for identifying potential bugs at input edges.
- Decision tables are more detailed and complex. Useful for complex logic and interactions but may be difficult to implement for simple situations.
- Equivalence partitioning and boundary value analysis are simpler and easier to implement but may not be as effective for complex logic.

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Description

This quiz covers key concepts from Unit 2 of the Software Testing course, designed for final year B.Tech CSE students. Topics include Mutation Testing, Data Flow Testing, and Control Flow Testing with relevant metrics and definitions. Enhance your understanding of evaluation techniques and error identification in software testing.