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| Section | Weight | Objectives |
|---|---|---|
| Test Analysis and Design | 25% | - Test case design - Test techniques
|
| Managing the Test Activities | 20% | - Risk-based testing - Test monitoring and control - Test planning and estimation - Defect management |
| Tool Support for Testing | 10% | - Test tools classification - Benefits and risks of test automation |
| Static Testing | 10% | - Review process - Static testing basics |
| Testing Throughout the Software Development Lifecycle | 15% | - Test types - Test levels - Software development models |
| Fundamentals of Testing | 20% | - What is testing? - Why testing is necessary - Seven testing principles |
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NEW QUESTION # 56
A requirement specifies that a certain identifier (ID) must be between 5 and 10 characters long, must contain only alphanumeric characters, and its first character must be a letter. As a tester, you want to apply one- dimensional equivalence partitioning to test this ID. This means that you have to apply equivalence partitioning individually: to the length of the ID, the type of characters contained within the ID, and the type of the first character of the ID.
What is the number of partitions to cover?
Answer: A
Explanation:
To determine the number of partitions using one-dimensional equivalence partitioning, we need to consider each aspect of the ID requirement individually.
* Length of the ID:
* Valid partitions: 5 to 10 characters (1 partition)
* Invalid partitions: Less than 5 characters, more than 10 characters (2 partitions)
* Type of characters:
* Valid partitions: Alphanumeric characters (1 partition)
* Invalid partitions: Non-alphanumeric characters (1 partition)
* Type of first character:
* Valid partitions: First character is a letter (1 partition)
* Invalid partitions: First character is not a letter (1 partition)
Adding these together, we have a total of 1 (valid length) + 2 (invalid lengths) + 1 (valid type) + 1 (invalid type) + 1 (valid first character) + 1 (invalid first character) = 7 partitions.
Reference:
ISTQB CTFL Syllabus, section on equivalence partitioning and test design techniques.
NEW QUESTION # 57
What is error guessing?
Answer: B
Explanation:
Error guessing is a test technique where testers anticipate potential developer mistakes, defects, and resulting failures based on experience and intuition.
NEW QUESTION # 58
What type of testing measures its effectiveness by tracking which lines of code were executed by the tests?
Answer: C
Explanation:
Structural testing is a type of testing that measures its effectiveness by tracking which lines of code were executed by the tests. Structural testing, also known as white-box testing or glass-box testing, is based on the internal structure, design, or implementation of the software. Structural testing aims to verify that the software meets the specified quality attributes, such as performance, security, reliability, or maintainability, by exercising the code paths, branches, statements, conditions, or data flows. Structural testing uses various coverage metrics, such as function coverage, line coverage, branch coverage, or statement coverage, to determine how much of the code has been tested and to identify any untested or unreachable parts of the code. Structural testing can be applied at any level of testing, such as unit testing, integration testing, system testing, or acceptance testing, but it is more commonly used at lower levels, where the testers have access to the source code.
The other options are not correct because they are not types of testing that measure their effectiveness by tracking which lines of code were executed by the tests. Acceptance testing is a type of testing that verifies that the software meets the acceptance criteria and the user requirements. Acceptance testing is usually performed by the end-users or customers, who may not have access to the source code or the technical details of the software. Acceptance testing is more concerned with the functionality, usability, or suitability of the software, rather than its internal structure or implementation. Integration testing is a type of testing that verifies that the software components or subsystems work together as expected. Integration testing is usually performed by the developers or testers, who may use both structural and functional testing techniques to check the interfaces, interactions, or dependencies between the components or subsystems. Integration testing is more concerned with the integration logic, data flow, or communication of the software, rather than its individual lines of code. Exploratory testing is a type of testing that involves simultaneous learning, test design, and test execution. Exploratory testing is usually performed by the testers, who use their creativity, intuition, or experience to explore the software and discover any defects, risks, or opportunities for improvement. Exploratory testing is more concerned with the behavior, quality, or value of the software, rather than its internal structure or implementation. Reference = ISTQB Certified Tester Foundation Level (CTFL) v4.0 syllabus, Chapter 4: Test Techniques, Section 4.3: Structural Testing Techniques, Pages 51-54; Chapter 1: Fundamentals of Testing, Section 1.4: Testing Throughout the Software Development Lifecycle, Pages 11-13; Chapter 3: Static Testing, Section 3.4: Exploratory Testing, Pages 40-41.
NEW QUESTION # 59
An alphanumeric password must be between 4 and 7 characters long and must contain at least one numeric character, one capital (uppercase) letter and one lowercase letter of the alphabet.
Which one of the following sets of test cases represents the correct outcome of a two-value boundary value analysis applied to the password length? (Note: test cases are separated by a semicolon)
Answer: B
Explanation:
The correct outcome of a two-value boundary value analysis applied to the password length is the set of test cases represented by option D. Boundary value analysis is a test design technique that focuses on the values at the boundaries of an equivalence partition, such as the minimum and maximum values, or the values just above and below the boundaries. A two-value boundary value analysis uses two values for each boundary, one representing the valid value and one representing the invalid value. For example, if the valid range of values is from 4 to 7, then the two values for the lower boundary are 3 and 4, and the two values for the upper boundary are 7 and 8. The test cases in option D use these values for the password length, while also satisfying the other requirements of the password, such as containing at least one numeric character, one capital letter, and one lowercase letter.
NEW QUESTION # 60
You test a university grading system that assigns grades based on a student's final score out of
100. Scores from 0 to 49 result in "Fail", scores from 50 result in "Borderline pass", and scores from 51 to 100 result in "Pass". The system allows input only of the integer numbers from 0 to
100.
You use a 2-value boundary value analysis to test the grading system.
What is the MINIMAL number of test data (final score) that allows for achieving the 100% coverage?
Answer: A
Explanation:
For 2-value boundary value analysis, two values are tested around each boundary. The valid partitions are 0-49, 50, and 51-100, so the boundaries are at 49/50 and 50/51. Testing both sides of these boundaries gives 49, 50, 50, and 51, with the duplicate 50 counted once, and the input range limits also require 0 and 100. This gives a minimal total of six test data values.
NEW QUESTION # 61
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