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| Section | Objectives |
|---|---|
| Software Metrics and Analysis | - Statistical methods in software quality - Measurement concepts and metrics selection |
| Software Quality Management | - Continuous improvement methodologies - Quality planning and strategy - Quality systems and models |
| Software Engineering Processes | - Process definition and improvement - Agile and traditional methodologies - Software development life cycle (SDLC) |
| Software Risk Management | - Risk identification and analysis - Risk mitigation strategies |
| Software Configuration Management | - Build and release management - Version control and change management |
| Software Verification and Validation | - Defect prevention techniques - Reviews and inspections - Testing strategies and levels |
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質問 # 75
Preventing or eliminating the causes of injury and damage is the best defense against which of the following?
正解：D
解説：
Preventing or eliminating the causes of injury and damage is primarily aimed at addressing product liability.
Product liability refers to the legal responsibility of a manufacturer or vendor to compensate for injury or damage caused by a defective product. By focusing on prevention and elimination of potential hazards, companies can mitigate the risk of lawsuits and claims related to product liability. This proactive approach ensures that products are safe for consumers and helps maintain the company's reputation and financial stability.
References:
* "Product Liability: Prevention, Practice and Process" by Gene R. Laczniak.
* ISO 31000:2018 - Risk management.
質問 # 76
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?
正解：D
解説：
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)Initial×100\text{Volatility} = \frac{(\text{Introduced} +
\text{Removed} + \text{Changed})}{\text{Initial}} \times
100Volatility=Initial(Introduced+Removed+Changed)×100
Using the given data:
* Initial requirements = 354
* Introduced = 14
* Removed = 6
* Changed = 28
Volatility=(14+6+28)354×10013.5%\text{Volatility} = \frac{(14 + 6 + 28)}{354} \times 100 \approx
13.5\%Volatility=354(14+6+28)×10013.5%
質問 # 77
A static analysis tool is used to
正解：C
解説：
A static analysis tool is used to identify potential problems in the code without executing it. These tools analyze the source code to detect coding errors, vulnerabilities, and adherence to coding standards. By identifying issues early in the development process, static analysis helps prevent defects that could lead to significant problems later on. It is a proactive approach to improving code quality and maintaining robust software.References:
* Ayewah, Nathaniel, et al. "Using Static Analysis to Find Bugs." IEEE Software, vol. 25, no. 5, 2008.
* IEEE Std 1028-2008, IEEE Standard for Software Reviews and Audits.
質問 # 78
The tester should complete which of the following sections of a problem report when documenting a test failure?
正解：B
解説：
When documenting a test failure, the tester should complete the " Steps to reproduce the failure " section of a problem report. This section is crucial as it provides a detailed account of the actions taken leading up to the failure, allowing developers to replicate the issue consistently. This replication is essential for diagnosing and fixing the problem effectively. Documenting the steps accurately ensures that all relevant information is conveyed, facilitating quicker resolution and better communication within the team.
References:
Kaner, Cem, Falk, Jack, and Nguyen, Hung Quoc. " Testing Computer Software. " 2nd Edition, Wiley, 1999.
IEEE Std 1044-1993, IEEE Standard Classification for Software Anomalies.
質問 # 79
When the number of failures found during acceptance testing is compared to the number of failures found after release, the result is a measure of
正解：B
解説：
Measuring Test Effectiveness:This involves comparing the number of defects found during testing phases to those found after release.
Importance of Test Effectiveness:It provides insight into how well the testing process is identifying defects before the product reaches the customer.
Impact on Quality:High test effectiveness means most defects are caught during testing, leading to higher quality products and fewer post-release issues.
質問 # 80
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