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Software testing is the process of finding errors in the developed product. It also checks whether the real outcomes can match expected results, as well as aids in the identification of defects, missing requirements or gaps.

Software testing is the penultimate step before the launch of the product to the market. It includes examination, analysis, observation, and evaluation of different aspects of a product.

Professional software testers use a combination of manual testing with automated tools. After conducting tests, the testers report the results to the development team. The end goal is to deliver a quality product to the customer, which is why software testing is so important.

Quality assurance (QA) in software testing is defined as a procedure to ensure the quality of software products or services provided to the customers by an organization.

Quality assurance focuses on improving the software development process and making it efficient and effective as per the quality standards defined for software products.

Quality assurance steps in software testing generally include something like this:

  • Plan – Organization should plan and establish the process related objectives and determine the processes that are required to deliver a high-Quality end product
  • Do – Development and testing of Processes and also “do” changes in the processes
  • Check – Monitoring of processes, modify the processes, and check whether it meets the predetermined objectives
  • Act – A quality assurance tester should implement actions that are necessary to achieve improvements in the processes

Want to learn more? Tonex offers Fundamentals of Software Testing and Quality Assurance, a 2-day course that emphasizes basic software testing and principles for today’s rigorous testing demands.

This fundamentals course also provides participants with powerful tools and techniques to reduce software defects, improve the quality and enhance your business success. 

Learn about the basics of software testing, fundamentals of graph theory needed for software testing, software development life cycle, distributions and data analysis in software testing, software testing strategies and static testing.

For more information, questions, comments, contact us.

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