Software Quality Assurance Testing Guide Tips And Practices

Quality Assurance The role of Artificial Intelligence and Machine Learning has been growing steadily in business and our daily lives. These technologies are no longer the preserve of science fiction but have been implemented in business operations. You might have a brush with them while shopping on Amazon (by getting recommendations,) receiving ‘likeminded’ feeds on the social media, or asking Siri, Cortana or Google Assistant to play a specific piece of music. In case these appear to be the more visible ways in which AI or ML work, there are many areas where these technologies function in the background. For example, finding out the credit worthiness of bank customers, filtering spam, categorising emails, working as chatbots on websites to resolve customer queries, dynamic price optimization, detecting frauds in online transactions, curating content, pattern and image recognition among many others. Notwithstanding the adoption of AI and ML technologies, these are still ea...

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...