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| Section | Weight | Objectives |
|---|---|---|
| General Knowledge | 10% | - Basic statistics and measurement theory - Ethical, legal, and professional considerations - Standards, models, and frameworks - Quality principles and concepts |
| Software Quality Management | 15% | - Audits and assessments - Quality management systems - Quality planning and assurance - Quality control and improvement |
| Project Management | 10% | - Project planning and estimation - Risk management - Tracking, control, and communication - Supplier and vendor management |
| Software Verification and Validation | 20% | - Validation and testing concepts - Verification principles and methods - Reviews, inspections, and defect management - Test planning, design, and execution |
| Software Metrics and Analysis | 12% | - Measurement and data collection - Reporting and decision support - Process and product metrics - Statistical analysis and interpretation |
| System and Software Engineering Processes | 18% | - System integration and deployment - Requirements engineering and management - Software design, construction, and maintenance - Software development lifecycles and models |
| Software Configuration Management | 15% | - Configuration audits and status accounting - Release and deployment management - Configuration planning and identification - Change control and traceability |
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問題 #225
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?
答案:D
解題說明:
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%
問題 #226
What type of audit is performed to verify that the components of a system match the documented deliverables?
答案:A
解題說明:
A physical configuration audit verifies that the actual components of a system match the documented configuration, deliverables, and approved product baseline. In software quality engineering and configuration management, this audit confirms that the correct files, executables, documents, versions, media, build items, manuals, and supporting artifacts are present and properly identified. A functional configuration audit focuses on whether the configuration item satisfies functional and performance requirements. A second-party audit is performed by a customer or organization with an interest in the supplier. A third-party audit is performed by an independent external body. Since the question asks whether system components match documented deliverables, the correct audit type is physical configuration.
問題 #227
Which of the following techniques will improve the accuracy of data collection the most?
答案:C
解題說明:
Automation in Data Evaluation: Automating the data evaluation process helps to eliminate human error, ensures consistency, and increases the efficiency of data collection.
Training Staff: While important, training staff can still lead to variability in data collection due to human error and subjective judgment.
Defining Time Frames: Helps in organizing the data collection process but does not inherently improve the accuracy of data.
Post-Project Analysis: Useful for insights but does not directly improve the accuracy of ongoing data collection.
Conclusion: Automation ensures precision, consistency, and objectivity in data collection, making it the most effective technique for improving accuracy. References from software quality engineering practices highlight the benefits of using automated tools for data collection to minimize errors and improve reliability.
問題 #228
Which of the following techniques can interfere with an interviewer's ability to read nonverbal signals?
答案:A
解題說明:
Taking notes can interfere with an interviewer's ability to read nonverbal signals because it may cause the interviewer to look down, lose eye contact, miss facial expressions, overlook posture changes, and fail to notice hesitation or discomfort. In software quality engineering, interviews are often used for requirements elicitation, audits, root cause analysis, customer feedback, and process assessment. Nonverbal cues can help reveal uncertainty, disagreement, risk, or missing information. Ignoring distractions generally helps the interviewer focus. Reading between the lines may help interpret implied meaning, although it must be used carefully. Asking questions is essential to clarify information. Note-taking is useful for accuracy, but excessive note-taking can reduce awareness of nonverbal communication.
問題 #229
Which of the following disadvantages are associated with the "formal meeting" technique of oral communication?
答案:A
解題說明:
Formal meetings, while useful, can have several disadvantages:
* They can degrade into time wasters if not well-managed.
* Some people might feel uncomfortable offering opinions in a public setting, leading to a lack of valuable input.
* It can be challenging for remote team members to participate effectively, especially if the meeting relies heavily on in-person dynamics.
References:
* "Peopleware: Productive Projects and Teams" by Tom DeMarco and Timothy Lister
* "The Art of Project Management" by Scott Berkun
問題 #230
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