Why Software Testing is required for
There is no question that rigorous functional testing is critical to successful application development. Software Testing overtime has emerged as a strategic function and it ensures that the software, application or system being developed improves and elevates the business’s ability to execute. According to one recent study
- Testing consumes 25% to 50% of the average application life cycle and often is viewed as adding no business value.
- Software defects cost nearly $60 Billion Annually
- 80% of development costs involve identifying and correcting defects
The research also found that, although all errors cannot be removed, more than a third of these costs could be eliminated by an improved testing infrastructure that enables earlier and more effective identification and removal of software defects. These are the savings associated with finding an increased percentage (but not 100 percent) of errors closer to the development stages in which they are introduced
In the increasingly competitive market, speed is an imperative. The inability to launch products would lead to loss of business in general. This is one of the main reasons companies are shifting to the cloud model where not only they save significant cost but also reduce the time to market by saving infrastructure activities duration. In the software development life cycle, one of the main challenges for the companies is to radically reduce the software testing time. With the cloud model getting more complex due to the integration of the existing/new systems, software integration testing need is more than ever. It is not a “nice to new” feature anymore. Rather, it is a necessity and should be given extreme importance when it comes to the quality of the end products. Test automation is an obvious balance to achieve this goal.
It is commonly believed that the earlier a defect is found, the cheaper it is to fix it. The following table shows the cost of fixing the defect depending on the stage it was found. For example, if a problem in the requirements is found only post-release, then it would cost 10–100 times more to fix than if it had already been found by the requirements review. With the advent of modern continuous deployment practices and cloud-based services, the cost of re-deployment and maintenance may lessen over time.
Several approaches are available to mitigate the risk of not testing the application fully but with the existing risk to the ongoing business, the only option left is to invest in the test automation. Functional test automation has evolved from the early days of so called record and playback to robust data and keyword driven frameworks. The innovative tactics results in the benefits of scalability, better performance and increased productivity.
Test automation ensures product quality with the shortest product release cycle.
As technology picks up the pace and tries to meet the demand of the market place, quality of the delivered products is of extreme importance.
The enterprise level test automation framework addresses the major drawbacks of the traditional test automation techniques and can test a system end to end. It reduces the manual effort significantly and removes the dependency of having several tools and frameworks required to test each component of an application individually.
There are several levels of testing including unit, integration, system and user acceptance testing. Also, there are different testing types including smoke testing, functional testing, regression testing, etc. The best approach should be to find or build a product that can do all these sorts of testing in one place.