Monday, February 24, 2020

Published February 24, 2020 by with 0 comment

Test Metrics & When to Stop Testing Training Session | Professional Development Program - QA InfoTech

Under QA InfoTech’s Professional Development Program (PDP) that aims to upskill and reskill its software testing workforce, a training session on Test Metrics was conducted by in-house experts, Paras Ahi, Sr. Lead and Megha Gupta, Assistant Manager from the Quality Engineering team for QA InfoTech’s test engineers.


A Brief About This Session

Measuring the quality, cost and effectiveness of the project and the process is one of the most important elements of software projects to determine complete success. To bring out the best result, software testers are using a defined and quantifiable technique like software testing metrics and key performance indicators (KPIs). These two elements help in calculating the health of the software testing lifecycle along with its progress.   

With an extensive list of software testing metrics, also known as a software test measurement, indicating various attributes of a software process, tries to improve its effectiveness and efficiency. The engineers also understood the importance of KPIs and how it is used to ensure compliance of process and business objectives. 

To add an extra advantage, test metrics become crucial for testers, agile team members and quality assurance managers. Choosing the right metrics and identifying the KPIs pose a challenge for the project heads. To implement this successfully, learning about types of test metrics, the difference between test metrics and software quality metrics, which metrics to use at which organisational level, metrics in waterfall vs metrics in an agile environment and manual vs automated testing are most important learnings. 

Paras and Megha, spoke about how much time and cost it will take to complete testing, how many bugs a software or application may generate, will the product be ready on time and what are the risks involved, are few questions that test metrics help answer, making the testing life cycle and the task of an engineer both effective and fruitful.

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