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| Section | Objectives |
|---|---|
| Software Verification and Validation | - Defect prevention techniques - Testing strategies and levels - Reviews and inspections |
| Software Risk Management | - Risk mitigation strategies - Risk identification and analysis |
| Software Metrics and Analysis | - Statistical methods in software quality - Measurement concepts and metrics selection |
| Software Engineering Processes | - Process definition and improvement - Agile and traditional methodologies - Software development life cycle (SDLC) |
| Software Configuration Management | - Version control and change management - Build and release management |
| Software Quality Management | - Quality systems and models - Continuous improvement methodologies - Quality planning and strategy |
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NEW QUESTION # 236
Which of the following metrics would be most appropriate for evaluating how effective the peer review process was for removing defects?
Answer: C
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 # 237
A use case is described as a technique that illustrates the
Answer: D
Explanation:
A use case is a requirements analysis technique that describes how an external actor interacts with a software system to achieve a specific goal. In software quality engineering, use cases help clarify functional requirements by showing user-visible behavior, normal flows, alternate flows, exceptions, inputs, and expected outcomes. They are not intended to show the internal view of the system, because implementation details are usually hidden from users. They also do not represent the software design itself, although designers may later use them to create design elements. The steps taken by the developer are part of development procedure, not use-case modeling. Since use cases illustrate what the system does from the user or actor perspective, they describe system functionality.
NEW QUESTION # 238
Which of the following requirements statements is written in such a way that it can be validated?
Answer: C
Explanation:
A validatable requirement must be clear, measurable, testable, and objective. The statement that the system shall be available at least 99.98% of the time provides a specific measurable threshold. Testers and quality engineers can verify it using availability measurements, operational logs, downtime records, or reliability monitoring over a defined period. Option A is weak because "some signals" is vague and does not define which signals must cause which response. Option B is not independently testable because "according to user requirements" refers to another undefined set. Option C says response time is operator defined, but it does not specify an acceptable value or condition. Since option D includes a measurable acceptance criterion, it is the best validated requirement.
NEW QUESTION # 239
Which of the following activities can be performed during the requirements phase?
Answer: A
Explanation:
Acceptance test planning can begin during the requirements phase because acceptance tests are derived from user needs, business rules, functional requirements, constraints, and acceptance criteria. Software quality engineering encourages early test planning to make requirements measurable, testable, complete, and clear.
When acceptance planning starts early, stakeholders can agree on how the finished system will be validated before design and coding begin. Data normalization is usually associated with database design. Functional testing is performed after software functions are implemented and executable. Reliability modeling may be performed in planning or design contexts, but the most directly appropriate requirements-phase activity among the options is acceptance test planning. It supports requirements validation and helps ensure that the delivered product meets customer expectations.
NEW QUESTION # 240
The diagram below corresponds to a 100-lme; high-level language program with a single loop that can be executed no more than 20 times.
If this program was exhaustively tested, approximately how many possible paths would be executed0
Answer: D
Explanation:
In the given diagram, each diamond represents a decision point, and each square represents a process step.
Assuming the decisions and paths within the loop create unique paths, the complexity can be calculated as follows: if each decision point splits into 2 paths and there are nn n decision points within the loop, then the number of possible paths for one iteration can be represented as 2n2