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2016 has been a year of mashups in the technology space. While the enterprise software market witnessed some phenomenal upgrades such as Artificial Intelligence, Cloud accessibility, Intelligent Applications and Systems, Smart Devices are more, Open Source Innovation took the commercial tool players by a storm and software testing to a whole new stance in the Software Development Life Cycle (SDLC).
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There also stands a high probability that one of the areas between manual and automation testing would be compromised. We can understand this better by comparing the two different approaches, one follows agile and the other follows the V model. To perform both these testing techniques in an agile environment, it would be way more challenging that doing it in the V model process due to the time boxed approach.
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How reporting framework helps automation test report After test suite executions using TestNG or Junit, by default they will give the HTML reports, but the information provided by these reports are not so good in terms of one page summary of the test, though that can also be emailed to the team and stakeholders of the project but still have good scope of improvement.
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Organizations in the 21st century needs to bring testing upfront in Software delivery life-cycle to present rapid feedback, build a safety net of automated tests which allow rapid changes in the application and involve users early to build the right value tests.
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Compatibility testing focuses on determining if the applications function properly on the systems with altered software and hardware configurations.
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Test Data Management plays a crucial role in the testing life cycle. It can be deployed on the premises and in the cloud. It provides integrated business classification, data discovery and policy-driven data for safe use of production data used in test and development environments.
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