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| Section | Weight | Objectives |
|---|---|---|
| Software Metrics and Analysis | 12% | - Measurement Programs
|
| Software Quality Management | 15% | - Risk Management
|
| System and Software Engineering Processes | 18% | - Software Development Life Cycle
|
| Project Management | 10% | - Project Control
|
| Software Configuration Management | 15% | - Configuration Control
|
| General Knowledge | 10% | - Quality Principles and Concepts
|
| Software Verification and Validation | 20% | - Validation Activities
|
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NEW QUESTION # 118
A test team is tasked to test an application that creates a large volume of reports. During regression testing, which of the following tools should the team use to assure that the application continues to produce the appropriate reports?
Answer: C
Explanation:
A file comparison tool is the best choice when regression testing an application that generates many reports.
Regression testing verifies that existing functionality still works correctly after changes. For report-producing applications, expected report files can be compared with newly generated output files to identify differences in content, layout, values, totals, headers, formatting, or missing data. A file format conversion tool changes one format into another, but it does not verify correctness. A string finding tool may locate specific text, but it cannot efficiently validate complete report output. A keyboard capture and replay tool automates user input, but it does not directly confirm that generated reports match expected results. Therefore, file comparison provides the strongest regression assurance.
NEW QUESTION # 119
In the archival process, retention of historical records is
Answer: D
Explanation:
Organizational Policies:The retention of historical records is typically governed by organizational policies, which are designed to comply with legal, regulatory, and business requirements.
Retention Periods:These policies specify the duration for which records need to be retained, ensuring that important historical data is available for future reference, audits, and compliance checks.
References:Industry standards and guidelines, such as those from ISO and regulatory bodies, provide frameworks for establishing record retention policies tailored to organizational needs.
NEW QUESTION # 120
Which of the following terms is used to describe the measure of interdependence among modules in a computer program?
Answer: A
Explanation:
Coupling describes the degree of interdependence between software modules. In software quality engineering and design, low coupling is preferred because it makes modules easier to understand, test, maintain, reuse, and change without creating unintended effects elsewhere in the system. High coupling means one module depends heavily on another module's data, control flow, internal structure, or behavior, increasing the risk that a change in one area will break another. Cohesion is different; it measures how strongly related the responsibilities within a single module are. Coherence is not the standard design metric for module dependency, and concurrency concerns simultaneous execution. Since the question asks for interdependence among modules, the correct term is coupling.
NEW QUESTION # 121
Which of the following goals is important when a defect tracking system is being established?
Answer: B
Explanation:
When establishing a defect tracking system, one important goal is to define how defects will be classified.
Classification rules make defect data consistent, searchable, reportable, and useful for analysis. Defects may be categorized by severity, priority, origin phase, detection phase, root cause, component, status, type, and customer impact. Without clear classification, defect reports become inconsistent and metrics lose value.
Collecting as much data as possible can overload users and reduce reporting quality. Approving a validation plan is a test management activity, not the main purpose of a defect tracking system. Determining how to prevent defects is important later during causal analysis, but the tracking system must first define reliable defect categories and workflow rules.
NEW QUESTION # 122
Which of the following approaches best facilitates the analysis of software product and process metrics to enhance monitoring and reporting techniques?
Answer: D
Explanation:
Statistical analysis is central to effective software metrics interpretation because it helps determine whether relationships exist between process performance and product quality outcomes. By using statistical methods, a software quality engineer can evaluate trends, correlations, variation, defect patterns, process capability, and the effectiveness of improvement actions. Audits are useful for compliance, but they do not by themselves analyze metric relationships. Tool integration may improve visibility, and automated testing may increase data collection, but neither guarantees meaningful analysis. The question asks for an approach that best facilitates analysis of product and process metrics to improve monitoring and reporting. Correlating process efficiencies with product defects provides actionable insight into which process changes are likely to improve software quality.
NEW QUESTION # 123
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