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Software Metrics Overview
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Software Metrics Overview
Software Metrics Overview
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1
Question
What are software metrics?
Answer
Software metrics are quantitative measures used to assess various aspects of the software development process, product quality, and project management.
2
Question
Why are software metrics important in software engineering?
Answer
Software metrics provide insights into the efficiency, quality, and maintainability of software, helping teams make data-driven decisions to improve software development outcomes.
3
Question
What are the purposes of software metrics in the software development lifecycle?
Answer
1. Quality Assurance: Measure software quality, such as code maintainability, reliability, and performance. 2. Process Improvement: Identify bottlenecks and areas for improvement in the development process. 3. Project Management: Monitor progress, allocate resources effectively, and predict project outcomes.
4
Question
What are the three main categories of software metrics?
Answer
1. Process Metrics 2. Product Metrics 3. Project Metrics
5
Question
What are process metrics?
Answer
Process metrics focus on measuring the effectiveness and efficiency of the software development process, evaluating practices, workflows, and methodologies.
6
Question
What is defect density?
Answer
Defect Density measures the number of defects per unit of code (e.g., per thousand lines of code). Lower defect density indicates higher software quality.
7
Question
What is cycle time in software development?
Answer
Cycle Time is the time taken to complete one iteration or phase in the development process, helping teams identify delays and improve efficiency.
8
Question
What is test coverage?
Answer
Test Coverage is the percentage of code tested by automated or manual tests, indicating the extent to which code is verified for correctness.
9
Question
What are product metrics?
Answer
Product metrics evaluate the characteristics and quality of the software product itself, assessing aspects such as functionality, reliability, and usability.
10
Question
What does code complexity measure?
Answer
Code Complexity measures the complexity of code using metrics like Cyclomatic Complexity, which counts the number of linearly independent paths in a program.
11
Question
What are coupling and cohesion in software engineering?
Answer
Coupling measures the degree of interdependence between software modules, while cohesion assesses the focus of functions within a single module.
12
Question
What are project metrics?
Answer
Project metrics help project managers track progress, costs, and timelines, valuable for planning, controlling, and assessing project success.
13
Question
What is effort estimation in project metrics?
Answer
Effort Estimation measures the estimated versus actual hours worked, which helps in resource planning and workload management.
14
Question
What is budget variance?
Answer
Budget Variance assesses the difference between the budgeted and actual cost, allowing teams to manage costs and control budget overruns.
15
Question
What is schedule variance?
Answer
Schedule Variance compares the estimated timeline with the actual timeline, providing insights into project delays or early completions.
16
Question
What tools are commonly used for software metrics?
Answer
1. SonarQube: For analyzing code quality metrics. 2. JIRA: For tracking project metrics. 3. Jenkins: For continuous integration and delivery metrics.
17
Question
What are the best practices in using software metrics?
Answer
1. Select Relevant Metrics 2. Avoid Over-Reliance on Metrics 3. Regular Monitoring and Adjustment 4. Promote Transparency and Accountability.
18
Question
What is Cyclomatic Complexity?
Answer
Cyclomatic Complexity is a software metric used to measure the complexity of a program's control flow, developed by Thomas McCabe in 1976.
19
Question
How is Cyclomatic Complexity calculated?
Answer
Cyclomatic complexity M is calculated using the formula M = E - N + 2P, where E = number of edges, N = number of nodes, and P = number of connected components.
20
Question
What does a Cyclomatic Complexity value of 1 indicate?
Answer
A program with no control flow, such as a sequence of straight-line code, has a complexity of 1.
21
Question
What does a Cyclomatic Complexity value between 2 and 10 indicate?
Answer
Generally considered a low complexity, meaning the code is likely easy to read and test.
22
Question
What is the implication of high Cyclomatic Complexity?
Answer
High complexity suggests that the function or module is complex, making it harder to test thoroughly and maintain.
23
Question
What is the benefit of Cyclomatic Complexity in testing?
Answer
It helps in determining the minimum number of test cases required for path coverage.
24
Question
What are the benefits of Cyclomatic Complexity?
Answer
1. Provides a clear, numeric indication of control flow complexity. 2. Helps identify code that might be prone to errors. 3. Assists in planning adequate test cases.
25
Question
What are the limitations of Cyclomatic Complexity?
Answer
1. It doesn't account for data complexity or readability of code. 2. Higher values may not always indicate problematic code if justified.
26
Question
What does coupling measure in software design?
Answer
Coupling measures the degree of interdependence between software modules or components.
27
Question
What is high coupling?
Answer
Modules with high coupling are heavily dependent on one another, making maintenance and updates more challenging.
28
Question
What is low coupling?
Answer
Modules with low coupling have minimal dependencies on each other, making the system more robust and flexible.
29
Question
What types of coupling exist?
Answer
1. Content Coupling 2. Common Coupling 3. External Coupling 4. Control Coupling 5. Stamp/Data-Structure Coupling 6. Data Coupling.
30
Question
What does cohesion measure in software design?
Answer
Cohesion measures how closely related and focused the responsibilities of a single module or component are.