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| Section | Objectives |
|---|---|
| Topic 1: Software Configuration Management | - Version control and change management - Build and release management |
| Topic 2: Software Verification and Validation | - Reviews and inspections - Defect prevention techniques - Testing strategies and levels |
| Topic 3: Software Metrics and Analysis | - Measurement concepts and metrics selection - Statistical methods in software quality |
| Topic 4: Software Quality Management | - Continuous improvement methodologies - Quality planning and strategy - Quality systems and models |
| Topic 5: Software Risk Management | - Risk identification and analysis - Risk mitigation strategies |
| Topic 6: Software Engineering Processes | - Software development life cycle (SDLC) - Process definition and improvement - Agile and traditional methodologies |
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NEW QUESTION # 35
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 # 36
Which of the following libraries would be most appropriate for a tester to use when experimenting with different test case designs?
Answer: B
Explanation:
The lead auditor acts as the final arbitrator for any audit-related issues that cannot be handled at a lower level.
This individual is responsible for the overall conduct of the audit, ensuring that the audit is performed according to the plan and that all findings are appropriately addressed and resolved.
The lead auditor has the authority to make final decisions on disputes or issues that arise during the audit process, ensuring objectivity and adherence to audit standards.
References:
* ISO 19011: Guidelines for Auditing Management Systems
* "Internal Auditing: Assurance & Advisory Services" by Urton L. Anderson, Michael J. Head, et al.
NEW QUESTION # 37
The highest risk associated with ambiguous requirements for requirements analysts is
Answer: A
Explanation:
Ambiguous requirements create one of the highest risks in software quality engineering because different stakeholders may interpret the same requirement in different ways. If analysts, developers, testers, and customers do not share a common understanding, the team may design and build software that does not satisfy the real business need. Extra reviews or longer review time are possible consequences, but they are not the highest risk. ISO 9001 compliance is also not the central issue unless the requirement process violates defined quality management controls. The most serious outcome is that the software product may be built incorrectly, leading to rework, customer dissatisfaction, failed validation, schedule delays, and increased cost. Clear, testable, complete, and unambiguous requirements are essential.
NEW QUESTION # 38
A software product should be re-inspected when the
Answer: A
Explanation:
A software product should be re-inspected when the inspection team agrees that re-inspection is necessary. In formal inspections, the decision depends on the seriousness, number, and type of defects found, the extent of required rework, and the risk that corrections may introduce new defects. The team has the technical context to judge whether follow-up verification is enough or a full re-inspection is required. A rework estimate greater than the original inspection effort may suggest concern, but it is not the only decision rule. Being ahead of schedule is not a quality-based reason. A very small number of modules needing rework may reduce the need for re-inspection. The best criterion is the inspection team's judgment.
NEW QUESTION # 39
One-to-one, one-to-many, and many-to-many are examples of which of the following data attributes as shown in an entity relationship diagram (ERD)?
Answer: A
Explanation:
In an entity relationship diagram, cardinality describes the numerical relationship between entities. Common cardinality relationships include one-to-one, one-to-many, and many-to-many. These relationships define how many instances of one entity can be associated with instances of another entity. For example, one customer may place many orders, creating a one-to-many relationship. Cardinality is important in software quality engineering because incorrect data relationships can cause design defects, database anomalies, invalid business rules, and integration problems. Modality refers to whether participation in a relationship is mandatory or optional. Complexity and hierarchy may describe general structure, but they are not the formal ERD term for one-to-one, one-to-many, and many-to-many relationships. Therefore, the correct answer is cardinality.
NEW QUESTION # 40
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