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| Section | Weight | Objectives |
|---|---|---|
| Software Quality Management | 15% | - Risk Management
|
| General Knowledge | 10% | - Standards and Models
|
| Software Verification and Validation | 20% | - Verification Activities
|
| Software Configuration Management | 15% | - Configuration Status Accounting
|
| Software Metrics and Analysis | 12% | - Statistical Analysis
|
| System and Software Engineering Processes | 18% | - Process Improvement
|
| Project Management | 10% | - Project Control
|
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NEW QUESTION # 26
An effective listener is defined as someone who
Answer: A
Explanation:
An effective listener is defined as someone who is attuned to nonverbal cues. Effective listening involves not only hearing the words but also understanding the speaker's body language, tone, and other nonverbal signals, which can provide significant context and understanding beyond the spoken words.
References:
* Adler, R. B., Rosenfeld, L. B., & Proctor, R. F. (2018). Interplay: The Process of Interpersonal Communication (14th Edition).
* Brownell, J. (2012). Listening: Attitudes, Principles, and Skills (5th Edition).
NEW QUESTION # 27
Which of the following techniques will improve the accuracy of data collection the most?
Answer: C
Explanation:
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.
NEW QUESTION # 28
Project management has been complaining that code inspections are taking too much time and are not worth the effort. The software manager has to decide whether the inspection program should be continued or disregarded for the upcoming release. Which of the following factors is critical to the manager s decision?
Answer: A
Explanation:
The critical factor for the software manager ' s decision on whether to continue or disregard the inspection program is the cost of not using inspection. Code inspections are a preventive measure to identify defects early in the development process. The cost of not using inspections can include increased defects in the final product, higher costs for post-release fixes, decreased customer satisfaction, and potentially significant impacts on the company's reputation. While resources, schedule impact, and additional testing costs are important considerations, the long-term cost implications of not identifying defects early can be far more detrimental.
References:
Gilb, Tom, and Dorothy Graham. " Software Inspection. " Addison-Wesley, 1993.
IEEE Std 1028-2008, IEEE Standard for Software Reviews and Audits.
NEW QUESTION # 29
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)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)354×100#13.5%\text{Volatility} = \frac{(14 + 6 + 28)}{354} \times 100 \approx 13.5\% Volatility=354(14+6+28)×100#13.5% Reference:
" Agile Estimating and Planning " by Mike Cohn, which explains the concept of requirements volatility in agile projects.
NEW QUESTION # 30
A software quality engineer is managing a project to develop a new air traffic control system for a federal agency When conducting a stakeholder needs analysis., which of the following groups would be most important for eliciting criteria for the functional tests?
Answer: A
Explanation:
When developing a new air traffic control system, the functional tests should be based on the needs and requirements of the end-users who interact with the system on a daily basis. Current air traffic controllers are the most critical stakeholders for eliciting criteria for functional tests due to the following reasons:
* User Experience : Air traffic controllers have firsthand experience with the operational aspects and practical challenges of the system, providing valuable insights into functional requirements.
* Operational Knowledge : They understand the necessary functionalities, safety features, and usability aspects that the new system must support.
* Critical Feedback : Their feedback is crucial for identifying essential functionalities, ensuring the system meets real-world requirements and safety standards.
Reference: " Stakeholder Analysis in Software Projects: Eliciting requirements from actual users, such as air traffic controllers, ensures that the functional tests reflect practical and operational needs. " (Project Management Institute)
NEW QUESTION # 31
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