Software Matrix it's a topic in software quality.pptx

Software quality

1. Subject SQA Topic Software Matrix

2. Software matrix Software metrics are quantitative measurements used to assess various attributes of software products or processes. These measurements provide insights into the quality, performance, complexity, and other characteristics of software systems. Properly applied metrics can help organizations make informed decisions, identify areas for improvement, and track progress over time. Software metrics are needed for several reasons:

3. Reasons of using software matrix 1. Quality Assessment: Software metrics help assess the quality of software products, processes, and overall systems. By quantifying various attributes such as functionality, reliability, maintainability, and performance, metrics provide a measurable indication of the software's quality. This enables organizations to identify areas of improvement and ensure that software meets established standards and requirements. 2. Performance Monitoring: Metrics allow organizations to monitor the performance of software systems and make data-driven decisions. By tracking metrics related to resource utilization, response time, throughput, and other performance indicators, organizations can identify bottlenecks, inefficiencies, or areas of optimization. This fosters effective resource allocation and helps maintain or enhance system performance.

4. Reasons of using software matrix 3. Decision Making: Software metrics provide valuable insights for decision-making processes. When collected and analyzed, metrics offer an objective basis for selecting development methodologies, tools, and technologies. They also assist in evaluating the impact of proposed changes or improvements and aid in prioritizing activities to align with organizational goals and objectives. 4. Risk Management: Metrics play a vital role in identifying and managing risks associated with software development projects. By tracking metrics related to defect density, test coverage, and customer satisfaction, organizations can identify potential issues, address them proactively, and mitigate risks. This leads to more successful project outcomes and reduces the chances of costly errors or failures.

5. Reasons of using software matrix 5. Process Improvement: By collecting and analyzing software metrics, organizations can pinpoint areas for process improvement. Metrics help identify inefficiencies, bottlenecks, or deviations from established processes or best practices. This allows organizations to establish a baseline, set realistic and achievable goals, and track progress over time. Continuous improvement efforts based on metrics facilitate enhanced productivity, efficiency, and quality in software development.

6. Summary In summary, software metrics are essential to assess quality, monitor performance, make informed decisions, manage risks, and drive process improvement in software development. They provide a quantitative basis for evaluation and optimization, supporting organizations in delivering high-quality software products and achieving their strategic objectives.

7. Calculations The calculation of software metrics depends on the specific metric being used. Here are a few examples of commonly used software metrics: 1. Lines of Code (LOC): LOC measures the size of a software program in terms of the number of lines of code. This metric is calculated by counting the number of lines in the program's source code.

8. Calculations 2. Cyclomatic Complexity (CC): CC measures the structural complexity of a software program. It gives an indication of the number of unique paths through the program's control flow. The formula to calculate CC is usually derived from the number of decision points, which may include if statements, loops, and case statements. 3. Defect Density: Defect Density measures the number of defects found in proportion to the size of the software code. It is calculated by dividing the total number of defects found in a software component by the size of that component.

9. Calculations 4. Mean Time to Repair (MTTR): MTTR measures the average time taken to repair a system or software component after a failure. It is calculated by summing the time taken to repair all failures and dividing it by the total number of failure. It is important to note that different software metrics have specific calculations and interpretation methods, depending on the context and goals. It is recommended to refer to established standards or industry best practices when applying software metrics to ensure accuracy and relevance. ------------------------------- THE END----------------------------------

10. Life cycle