QA GOVERNANCE

Quality assurance is integral for online business reputation and business growth. Internally, it is also important in business process execution. In software development lifecycle, there are several areas, wherein bugs and defects can insinuate themselves. Therefore, a quality governance framework is necessary for preventing the quality issues at any point of software development lifecycle. Test Triangle’s quality governance model ensures that robust quality assurance practices are implemented in the organization.

Following are the features of Test Triangle’s Test Governance Model:

Test Metrics

“You can’t control what you can’t measure” – Tom Demacro

Software test metrics are designed to monitor the testing process. They are integral in measuring the quality, cost and effectiveness of a project.

In a metrics lifecycle, there are four major phases. These are:

• Analysis
• Communication
• Evaluation, and
• Reporting

In analysis, the project managers design the metrics and define its parameters. In the communication phase, the project managers communicate the importance of metrics and the key data points, which will be helpful in regulating the metrics. In the evaluation phase, the testing data is captured, which is used to calculate the metrics value. In the last phase, a report is created with effective conclusion which can be used as a feedback for further improvement.

Nowadays, testing has to be performed at a shorter span of time with less number of professional. In this scenario, software testing metrics are used to evaluate the health and quality of the software testing efforts. Test Metrics are beneficial in decision-making and understanding the key improvement factors in software testing process. They are also used to evaluate the amount of work done by the test engineers.  In the absence of a software testing metrics, it would be impossible to quantify the software testing process. It is also critical in smart decision making and predicting the defect leakage in production environment. Software testing metrics is beneficial in several ways:

• Cost containment by reducing the defect leakage in the production environment
• Improving the project planning
• Accurate evaluation of quality and current project stage

There are several key performance indicators (KPIs) in the software testing metrics, such as test coverage, defect identification, defect prevention, defect aging and current quality ratio.

• Test Coverage: It is used to evaluate the total number of test procedures covered in the test requirements. It is used to evaluate the success of test coverage.
• Defect Identification: The defect identification efficiency evaluates that all the defects are identified in accordance to the agile principles. It is applied at every stage of software development lifecycle.
• Defect Prevention: This metrics analyzes that there is minimal production leakage.
• Defect Ageing: The defect ageing indicates the average turnaround time of any defect.
• Current quality ratio: The current quality ratio metrics examines the number of test procedures successfully executed compared to total number of test procedures.