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Recent Blogs
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The Future Role of a QA Tester When AI and Automation Takes Over
Artificial intelligence and machine automation has come a long way since its inception and is growing and evolving at an exponential pace. Its multifaceted application in various fields, ranging from finance to trade securities and more, has enabled machine learning to improve software-testing processes by making them faster, easier, and efficient. The rapid evolution of AI and automation has left some professionals speculating about the future role of QA testers and the impact of their role in the automation era....
Testing / 14th January 2020
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User Acceptance Testing (UAT) in ERP Projects
Implementing a new Enterprise Resource Planning (ERP) can be a complex task. Statistics suggest that around half of all ERP projects fail. One of the main reasons for this is not the software as much as the ERP implementation process. This is where a smart testing structure can add great value. Applying efficient UAT procedures before launching your ERP project can result in far greater success rates. This allows you to provide real-life testing to a project to make sure...
Testing / 8th January 2020
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Requirements Engineering – Team Effort or One Man Show?
While the perfect software development system may not exist, there are many things that project managers can do to ensure smooth sailing. One of which is requirements engineering. This is a great place to get the ball rolling on a fairly complicated process and to ensure that an application’s features are always being kept in mind. After all, we all know how complicated the design process and functionality can get, especially when it boils down to the final user-experience! Being...
Requirements / 17th December 2019
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How is Artificial Intelligence (AI) Transforming the Software Testing Industry?
This article highlights the role of Artificial Intelligence in software engineering and the key benefits of implementing AI. It also covers the challenges faced in adopting Artificial Intelligence for software development and testing. From continuous testing to autonomous testing, AI has transformed the software development and testing industry. Today industry leaders are using the latest methodologies such as Agile, Continuous Testing, and DevOps to develop high-quality software in shorter timelines. But the real power lies in Artificial Intelligence (AI) to...
Testing / 3rd December 2019
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Is Machine Learning the Future of Quality Assurance?
This article highlights the need for machine learning in quality assurance and how machine learning can transform quality assurance. Key Takeaways Machine learning in quality assurance. The benefits of using machine learning led quality assurance instead of traditional testing. The various types of machine learning algorithms used for testing. Various techniques used to check the software for quality and its benefits. The use of machine learning to improve software quality and performance by leading industry players. There are many innovations...
Testing / 26th November 2019
