For a better return on investment and a better software quality the feedback of experience made it possible to define eight stages of the automation of the tests in company. Automation does not necessarily make software testing faster, more reliable or less expensive. Since the initial costs of configuration and automation tools can be high, test automation is only profitable if the long-term costs offset these initial expenses. In addition not all outsourced software testing automation tools and methodologies have the same characteristics, functionality and capabilities. Each project can meet different requirements with implications for costs and benefits.These tips are intended to help improve return on investment in test automation and improve software quality.

Choose what you need to automate

To achieve the balance of costs and benefits it is essential to identify the factors that increase the complexity of automating a specific test project. Test automation ideally applies to code that plays an important role in an application, processes high volumes of data, runs common processes and can be used on a set of applications.Companies are also advised to search for non-traditional or even non-planned areas where they could extend their investment in automation including testing patch installation routines and bug fixes, tests and for creating test reports.

Choose your test tools

Companies need to cushion their investment in automation. They must therefore choose test tools that can meet their needs over several years. Among the appropriate evaluation criteria

  • Support for various types of automated testing, including functional testing, test management, mobile technology testing, SOA architecture testing and IVR software testing
  • Support for multiple test frameworks
  • The ability to recognize objects created in a wide variety of programming languages
  • Stability of configuration and operation on any environment and any platform
  • The degree of effectiveness of the test execution for a minimum manual effort
  • Automatic recovery capability after application failure, to prevent interruption of testing
  • The performance of the scripting language, facilitating the development of scripts reusable across multiple platforms and test types

Conclusion: understand the meaning

The term automation implies that it is the machines that do the work and not the humans. The amount of manual effort required for automated testing is one of the least understood aspects of software testing. Individuals must configure test machines, create scripts, select tests, analyze test results, record anomalies and clean test machines. It is important to accurately estimate these costs not only for budgeting and planning purposes but also to accurately calculate the return on investment.This methodology consists first of all in defining the objectives to which the tools must respond and in specifying the tests to be automated such as the functional test or the back-end validation.