Tech Veins Academy
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🌈 Ready to become a software testing pro? Look no further! Welcome to Tech Veins Academy YouTube channel, where you can access a treasure trove of knowledge and expertise on software testing. Explore the exciting world of software testing through our detailed and informative Software Testing Course.
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Tech Veins Academy
Here are the 🔝 best software testing tools 🛠️ for 2024, to help with testing and quality assurance processes. For more updates, please subscribe to the channel.
Reference Link: www.bollyinside.com/articles/best-software-testing…
1 year ago | [YT] | 7
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Tech Veins Academy
Boundary value analysis provides multiple benefits, including increased test coverage and proactive defect prevention. It's a simple way to improve test efficiency.
Reference Link: www.techtarget.com/searchsoftwarequality/tip/How-b…
2 years ago | [YT] | 8
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Tech Veins Academy
In recent years, more and more companies are accepting testing as an early activity in the Software Development Life Cycle.
Companies across the globe have a goal to get their applications faster to the market and with the priority of cost optimization.
In this process, companies are adopting the best practices of Agile and DevOps mainly to reduce the time to market. Besides this, companies are adopting other trends such as Artificial Intelligence (AI), Machine Learning, IoT, Blockchain, Cloud Computing, and many more.
So what will the software testing trends in 2023 be?
Here in this article, we will be providing more information about some tremendous software testing trends of the year 2023.
Reference link: www.softwaretestingmaterial.com/software-testing-t…
2 years ago | [YT] | 8
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Tech Veins Academy
Testing Breaking News: AI’s kaleidoscope of software testing:
It highlights the increasing need for high-quality software due to rapid technological changes. Traditional testing methods, primarily manual and rule-based automation, face challenges with the growing complexity of software systems. The emergence of AI-driven software testing brings a revolutionary shift, leveraging AI and ML (Machine Learning) for test case generation, enhanced automation, dynamic test data creation, and defect prediction. The benefits include increased efficiency, improved test coverage, cost reduction, and enhanced accuracy. Despite its potential, AI-driven testing poses challenges such as model validity, bias reduction, and workforce competency. The key takeaway is that AI in software testing is a current reality reshaping quality assurance, providing agility, efficiency, and innovation for future-proof digital creations.
Reference Link: za.investing.com/news/testing-tomorrow-ais-kaleido…
2 years ago | [YT] | 8
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