{"id":15356,"date":"2021-04-26T20:11:59","date_gmt":"2021-04-26T14:41:59","guid":{"rendered":"https:\/\/cigniti.com\/blog\/?p=15356"},"modified":"2023-01-17T14:13:39","modified_gmt":"2023-01-17T08:43:39","slug":"intelligent-no-scripting-test-automation","status":"publish","type":"post","link":"https:\/\/www.cigniti.com\/blog\/intelligent-no-scripting-test-automation\/","title":{"rendered":"Reduce Cost of Quality using Intelligent no-scripting Test Automation"},"content":{"rendered":"
According to Gartner<\/em><\/strong>, \u201cScriptless testing tools reduce or eliminate the amount of scripting involved in the creation of tests using model, object, data or keyword-driven approaches. The goal is to enable business user testing and to reduce maintenance costs.<\/em><\/strong>\u201d<\/p>\n With the advent of Scriptless test automation, the whole complexion of test automation changed. It is no longer alienated from manual testers or business analysts who cannot code.<\/p>\n Scriptless test automation not only simplifies the test automation process without actual coding but is also an effortless and easy process to learn compared to other automation tools.<\/p>\n In this era of digitalization, where the consumer needs are changing according to the evolving trends, scriptless test automation has now advanced to the next level of automation, which is intelligent no-scripting test automation.<\/p>\n According to Forrester<\/em><\/strong> predictions, \u201cIntelligent automation suites will provide one quarter of all robotic process automation (RPA) solutions. Commoditization, major enterprise software acquisitions, new entrants, specialization, and public market ambitions are defining a diverse RPA market. Like machine learning, RPA will become an embedded feature in many platforms by the end of 2021. RPA will be available from almost 200 software companies that are in the business of digital transformation.\u201d<\/em><\/strong><\/p>\n The intelligent no-scripting test automation is an amalgamation of traditional automation practices combined with nascent technologies such as Artificial Intelligence (AI), Machine Learning (ML), Cloud Computing, and to an extent, the Internet of Things (IoT).<\/p>\n With technologies like AI and ML entering the mainstream, they are not just limited to developing new applications, but have also started to spread their wings in areas such as quality assurance and other facets of testing.<\/p>\n Arbitrating the advantages of these technologies such as efficiency and cost savings, enterprises have started espousing them to a larger extent, especially in the areas of digitalization.<\/p>\n In the current pandemic, businesses have refocused on resilience, which for many has led to fast-tracking the automation agenda.<\/p>\n According to Craig Le Clair<\/em><\/strong>, Vice President, Principal Analyst, Forrester<\/em><\/strong>, \u201cThe world of automation has changed in the past year. Just six months ago, tech and business leaders would lightly suggest automation ideas, jockey for budget, and get nods and smiles for their efforts but little commitment. Now, automation has moved to heated board-level discussions that often end with statements such as \u201cIf we don\u2019t automate everything we can, we may not survive.\u201d\u201d<\/em><\/strong><\/p>\n Contextual Intelligence and automation can together provide a path to sturdier growth, an enhanced customer experience, abridged risk, and a greater agility.<\/p>\n Complementing these powerful technologies, enterprises have started automating several business activities such as orchestrating corporate IT systems to processing insurance claims, which once required a human resource at the helm of affairs.<\/p>\n Enterprises that have ignored the potential of intelligent automation might risk putting themselves at a competitive disadvantage.<\/p>\n To create competitive advantage for enterprises, the digital transformation initiatives<\/a> need to deliver superior experience to customers at higher velocity.<\/p>\n Per Forrester\u2019s<\/em><\/strong> predictions 2021,\u201d The ‘great lockdown’ of 2020 will make the drive for automation in 2021 both inevitable and irreversible. Remote work, new digital muscles, and pandemic constraints will create millions of pragmatic automations in 2021; document extraction, RPA (robotic process automation) from anywhere, drones, and various employee robots will proliferate; and, as expected, the mad dash to automate will bring trouble.<\/em><\/strong>\u201d<\/p>\n While automated test platforms have proven to be efficient, however, there is a need for the next level of automation to cater to the latest emerging trends. By orchestrating the QA processes with AI enabled Intelligent no-scripting Test Automation, enterprises can achieve:<\/p>\n While the reasons to adopt intelligent no-scripting test automation are many, efficiency and cost savings are the core drivers of automation initiatives at most enterprises.<\/p>\n Enterprises are now enabled to bring new heights of milieu, astuteness, and automation to decision making and day-to-day processes, with the rapid development of increasingly erudite technologies.<\/p>\n Intelligent no-scripting test automation helps reduce a lot of quality costs to enterprises, thereby increasing their return on investment (ROI).<\/p>\n Per Forrester<\/em><\/strong>, \u201cAutomation, not surprisingly, is aimed at the employee experience. In 2021, digital transformation initiatives in more than three-quarters of enterprises will focus on automation<\/em><\/strong>.\u201d<\/p>\n Two-thirds of the enterprises that encountered broken processes during the pandemic were able to recoup quickly by implementing intelligent no-scripting test automation solutions, thereby saving them from a lot of unexpected expenditure.<\/p>\nThe need for enterprises to adopt Intelligent Scriptless Test Automation<\/h2>\n
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Quantify Cost of Quality with Intelligent no-scripting Test Automation<\/h2>\n