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| Section | Objectives |
|---|---|
| Software Metrics and Analysis | - Measurement concepts and metrics selection - Statistical methods in software quality |
| Software Verification and Validation | - Testing strategies and levels - Defect prevention techniques - Reviews and inspections |
| Software Risk Management | - Risk mitigation strategies - Risk identification and analysis |
| Software Quality Management | - Quality planning and strategy - Quality systems and models - Continuous improvement methodologies |
| Software Engineering Processes | - Process definition and improvement - Software development life cycle (SDLC) - Agile and traditional methodologies |
| Software Configuration Management | - Version control and change management - Build and release management |
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NEW QUESTION # 140
Which of the following software metrics is based on a nominal scale-1
Answer: B
Explanation:
Nominal scales are used in measurement to categorize data without any order or priority. They are the simplest form of measurement scale and are used to group items into distinct categories based on names or labels123.
* Root cause of defect (Option A): This fits the nominal scale as it involves categorizing defects based on their root causes, such as logic errors or data definitions. These categories are mutually exclusive and do not have a natural order1.
* Severity of a defect (Option B): This is an example of an ordinal scale, not a nominal scale. The severity levels (critical, major, minor) imply a ranking or order of importance or impact2.
* Defect density (Option C): This metric uses a ratio scale as it involves a quantitative measure (number of defects) relative to the size of the software (function points), which has a true zero point and allows for meaningful comparisons between measurements2.
* Defect discovery rate (Option D): This is also a ratio scale because it measures the rate of defect detection over time (number detected per day), which is a quantitative assessment that allows for arithmetic operations
NEW QUESTION # 141
A company uses a feature rating system with the following values.
1= Completely dissatisfied
2= Somewhat dissatisfied
3= Neither satisfied nor dissatisfied
4= Somewhat satisfied
5= Completely satisfied
This rating system is based on what type of measurement scale?
Answer: D
Explanation:
The feature rating system described (1 = Completely dissatisfied, 2 = Somewhat dissatisfied, 3 = Neither satisfied nor dissatisfied, 4 = Somewhat satisfied, 5 = Completely satisfied) is based on an ordinal measurement scale. Ordinal scales categorize data into distinct groups that have a meaningful order or ranking, but the intervals between the ranks are not necessarily equal. In this case, the ratings provide a rank order of satisfaction levels.
NEW QUESTION # 142
Which of the following metrics would be most appropriate for evaluating how effective the peer review process was for removing defects?
Answer: D
Explanation:
Defect density is a metric that measures the number of defects relative to the size of the software component (e.g., per thousand lines of code). It is particularly useful for evaluating the effectiveness of the peer review process in removing defects. By calculating defect density before and after the peer review process, teams can assess how many defects were identified and addressed during reviews. This metric helps in understanding the quality of the code and the effectiveness of the review process in identifying and mitigating defects. Higher effectiveness in peer reviews typically results in lower defect density. Industry practices and standards, such as those from IEEE or ISO, often recommend using defect density as a key quality metric.
NEW QUESTION # 143
During what activity would it be appropriate for a team to use a complexity analyzer0
Answer: D
Explanation:
A complexity analyzer evaluates the complexity of the code, typically measured by metrics like cyclomatic complexity, which helps in understanding the number of linearly independent paths through a program's source code.
* Test Planning:
* Complexity Analysis: Identifies complex areas that require more thorough testing.
* Resource Allocation: Helps allocate testing resources effectively based on code complexity.
* Risk Assessment: High complexity often correlates with higher risk and potential for defects.
* Objective: To ensure that the test plan includes adequate coverage for complex code areas, which are more prone to errors.
NEW QUESTION # 144
When a defect is discovered during the test phase., what is the earliest phase in the software lifecycle that could need rework to resolve the defect?
Answer: C
Explanation:
When a defect is discovered during the test phase, the earliest phase in the software lifecycle that could need rework to resolve the defect is often the requirements phase because:
* Root Cause Analysis : Many defects originate from misunderstandings or errors in the initial requirements. If the requirements are incorrect or incomplete, it will affect all subsequent phases.
* Impact on Design and Implementation : Incorrect requirements lead to flawed design and implementation, necessitating rework in these phases as well.
* Cost of Fixing Defects : The cost and effort to fix defects increase exponentially the later they are found in the development lifecycle. Addressing issues at the requirements stage is more cost-effective.
Reference: " Software Defect Origins and Removal Methods: Fixing defects at the requirements stage prevents propagation of errors through the design, implementation, and testing phases. " (IEEE Software Engineering Standards)
NEW QUESTION # 145
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