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Why is Quality Assurance needed to ensure an effective Application Development?

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Quality Assurance The digital revolution has entailed the building of myriad software applications working in tandem with hardware systems to deliver a better customer experience. The demands of the market notwithstanding, a software application needs to stand tall on the crucible of customer satisfaction. The latter can only be achieved when a software application is validated for Quality Assurance. The importance of QA is felt all across the business since attributes/outcomes such as trust, credibility, customer satisfaction, and even ROI are determined by it. A company with a suspect quality software application does not make much headway in the market as far as gaining customer approval is concerned. Remember, a marketing blitz can make the much needed initial noise about a software application in the market, but its real worth is only felt when customers start using it. If the quality of the software application does not inspire confidence then no marketing push can c...

Why should AI and machine learning be used in software testing?

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Artificial intelligence Software applications have grown in complexity thanks to their interfacing with myriad devices, legacy systems, operating systems, frameworks, networks, browsers, and cloud platforms. Moreover, the complexity often grows in a non-linear fashion making the job of testers a challenging exercise. Since the proper functioning of these applications has a bearing on achieving customer satisfaction, not to speak of the business staying competitive, the quality needs to be top notch. The changing dynamics of evolving technologies and customer choices has led businesses to adopt the methodology of Agile-DevOps. The objectives of Agile-DevOps in terms of ensuring Continuous Integration and Delivery have led software testers to embrace test automation in a big way. However, test automation can have its pitfalls too as follows: The inability to identify the processes for test automation. The difficulty in writing automated test scripts for soft...