Today each and every program product has defects (or so-called “bugs”). Some of them are identified and deleted during coding, and others are found and corrected during official testing as program module are incorporated into a system. Nevertheless, all software producers know that bugs stay in the software and must be corrected later.
Testing is an essential precondition for the successful introduction of a program product. However, considering the modern testing methods, it is frequently considered hard, boring, labor-intensive and pointless. It is said that defects in the end products cost the USA economy approximately $59.5 billion per year.
In most software engineering projects, testing requires from 25% to 50% of the general budget. Testing team generally includes engineers, tool users, and tool designers. The staff is equally important to the resources as the designed product must be tested very carefully. The modern market is full of different qa service. But most of them are regarded as quite primitive in terms of the necessary quality. They are able to test program products with a certain level of automation, which gives the developers some time to address the problems in the areas of increased risk.
However, their automation is quite poor, as it is confined to reverse developing and recording test script with a few mouse clicks. Test engineers try to create more powerful and flexible testing instruments with more automatic functions to keep up with the fast development of the software technology.
The purpose of this guide is to explain you how to create a testing instrument, the Automated Test tool, to test a complex program product with a minimal human interaction. You are going to learn not only how to design the testing instrument, you’ll acquire the knowledge you need to introduce the tool. To provide controlled and progressive improvement of the automatic testing, the discussion of the design of this tool includes full descriptions of Reflection, Code Document Object Model, late binding, Extensible Markup Language, and MS Excel API programming.
Today there are multiple software operating systems and development languages serving today’s software industry, for example: Java, C++, Visual Basic, C#, Linux, Unix, and Windows. Different software engineers choose different tools.
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