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| Section | Weight | Objectives |
|---|---|---|
| Software Configuration Management | 15% | - Configuration Identification
|
| System and Software Engineering Processes | 18% | - Process Improvement
|
| General Knowledge | 10% | - Standards and Models
|
| Software Verification and Validation | 20% | - Validation Activities
|
| Software Metrics and Analysis | 12% | - Statistical Analysis
|
| Project Management | 10% | - Project Control
|
| Software Quality Management | 15% | - Risk Management
|
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NEW QUESTION # 233
Static analysis tools are used to evaluate
Answer: C
Explanation:
Static analysis tools are used to evaluate documentation and source code. These tools analyze the code without executing it, looking for potential errors, coding standard violations, security vulnerabilities, and other issues.
By reviewing the source code and associated documentation, static analysis helps in identifying problems early in the development process, improving code quality and reducing the likelihood of defects in the final product.
References:
* "Code Complete: A Practical Handbook of Software Construction" by Steve McConnell
* "Static Analysis: Results from the Static Analysis Tool Exposition (SATE) IV" by Paul E. Black,
* Elizabeth Fong, et al.
NEW QUESTION # 234
Which of the following statements is true about using branched development paths on a module?
Answer: A
Explanation:
Branched development allows different versions of a module to be changed independently, often to support parallel releases, emergency fixes, experiments, or customer-specific versions. While branching is useful, it increases configuration management complexity. Each branch may require separate testing, merging, reviews, defect correction, and documentation. If changes are made in one branch, the team must decide whether and how to propagate them to other branches. This can create merge conflicts, inconsistent behavior, and duplicated maintenance effort. Branching does not necessarily reduce the delta or size of the code base, and it does not require a unique interface. The main software quality concern is increased maintenance cost and control complexity.
NEW QUESTION # 235
A sprint started with 354 requirements. As the sprint progressed, 14 requirements were introduced, 6 requirements were removed, and 28 requirements were changed. What was the requirements volatility for this sprint?
Answer: A
Explanation:
Requirements volatility is calculated as the percentage of change in the total number of requirements during a sprint. The formula to calculate volatility is:
Volatility=(Introduced+Removed+Changed)InitialΓ100\text{Volatility} = \frac{(\text{Introduced} + \text
{Removed} + \text{Changed})}{\text{Initial}} \times 100Volatility=Initial(Introduced+Removed+Changed)
Γ100
Using the given data:
* Initial requirements = 354
* Introduced = 14
* Removed = 6
* Changed = 28
Volatility=(14+6+28)354Γ100#13.5%\text{Volatility} = \frac{(14 + 6 + 28)}{354} \times 100 \approx 13.5\% Volatility=354(14+6+28)Γ100#13.5% Reference:
" Agile Estimating and Planning " by Mike Cohn, which explains the concept of requirements volatility in agile projects.
NEW QUESTION # 236
A usability test measured the number of errors made in performing a task with a product intended for 500 users. The following number of errors were made by six users: 5, 2, 12, 4, 2, 3. What conclusion can be drawn from this sample?
Answer: B
Explanation:
The sample includes only six users out of an intended population of 500 users, so it is too small to support a strong conclusion about overall usability. Software quality engineering emphasizes representative sampling when evaluating usability, reliability, performance, and user behavior. The data shows variation, including one user with 12 errors, but that value should not automatically be removed unless there is a valid assignable cause. The average is not 6 errors; it is 28 divided by 6, or about 4.67 errors. Also, no acceptance criteria are provided, so the error levels cannot be judged acceptable. The most valid conclusion is that more usability testing should be performed with additional groups of representative users.
NEW QUESTION # 237
As it relates to testing, the phrase " 80% coverage " means 80% of the
Answer: C
Explanation:
The phrase " 80% coverage " in testing typically refers to the percentage of statements in the program that have been executed at least once during testing. This is known as statement coverage or code coverage. It is a measure of how much of the code has been exercised by the test suite and is used to assess the thoroughness of the testing efforts. It does not necessarily mean that 80% of the software is error-free, that 80% of planned test cases have been completed, or that 80% of predicted errors have been uncovered, although higher coverage often correlates with better defect detection.
References:
Kaner, Cem, Jack Falk, and Hung Quoc Nguyen. " Testing Computer Software. " 2nd Edition, Wiley, 1999.
Myers, Glenford J., Tom Badgett, and Corey Sandler. " The Art of Software Testing. " 3rd Edition, Wiley,
2011.
NEW QUESTION # 238
......
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