The public sector law enforcement agency aimed to overhaul manual testing and improve automation maturity across teams. They experienced challenges with redundant manual regression testing efforts, dependencies on specific quality checkers, and manual testers finding automation testing difficult. An easy and quick ramp-up test automation tool was needed, as previous attempts with Selenium (Cucumber and Protractor frameworks) proved difficult for manual testers to adopt without repeated Dev team intervention. With Agile 2-week sprints, in-sprint automation was lagging in overall velocity. Therefore, this agency realized the need was for a low or no-code tool that would enable manual testers to easily automate tests without deep coding expertise, eliminate redundant manual work, break down testing silos caused by specialized knowledge, make testing more engaging for manual testers, and enable rapid automation within short Agile sprints.
The decision to choose an AI-powered No-Code platform stemmed from factors such as simplicity, faster implementation and reduced maintenance. ACCELQ’s no-code NLP platform let manual testers quickly create automated tests without coding expertise. The AI abilities also reduced maintenance as tests could auto-heal against application changes. This simplicity and agility enabled fast rollout across teams. The no-code solution fit the needs for rapid implementation and minimal sustainment burden. The adoption of a platform offered ease of use, speed, and adaptability, especially for projects requiring rapid automation without extensive coding expertise. ACCELQ stood apart from the reusability standpoint and automation universe representation. It served as a user-friendly, easy-to-understand platform for people with zero automation experience.
How Did Accelq Help Overcome These Challenges :
Business Benefits with ACCELQ