In the tech-driven world, customers’ expectations are changing dramatically. To keep ahead of the competition, organizations must be agile enough to respond ceaselessly across all the channels to these ever-increasing expectations, that are often driven by an individual’s experience in using technology in everyday life.
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Innominds supported over 9 releases of a global digital workforce management product. Our testing team performed comprehensive Quality Engineering (QE) with testing process automation for successful releases.
Game testing is a specialized skill that requires diverse tests to be performed in order to meet complex architectural needs and recent emergent compliance rules in game development. The number of elements interacting with each other inside a game is large, so identifying and testing them takes up a large chunk of the time and effort of test engineers.
Adapting to changing consumer requirements is a primary goal for any organization to sell better and progress in managing their business from the sales point of view. When a business fails to recognize the customer’s choice and preferences, catering to the relevant market becomes more and more of a stressful scenario.
Asset tracking and management pose a tremendous challenge to organizations that deal with transportation of various equipment, supplies and material from one location to the other or over long distances. Losses, theft and damage to assets result in losses amounting to trillions of dollars for companies around the world.
Software quality assurance currently stresses upon the speed of delivery of apps on top of quality through the implementation of better QA practices that includes DevOps. Supporting faster development through automation and DevOps CI/CD is considered the better alternative to old QA methods.
For every organization, innovation and resilience is the only thing that keeps them motivated to keep going amidst a global pandemic.
IoT application testing is an essential part of smart device development. Just like any other system, the IoT systems have to work seamlessly well in the desired environment during their deployment. Hence, it demands rigorous testing as they are often deployed in heterogenous application platforms with various infrastructural dependencies. The devices are also mostly located far from any
Most organizations spend thousands of hours creating QA tests for applications, meticulously breaking down the application and debugging it from release to release. This enormous amount of time spent in manual testing produces very little outcome as it slows down development and affects productivity. Automating the testing by injecting test automation scripts into every stage of the test cycle
Artificial Intelligence and Machine Learning (ML) are the next steps to digital evolution that are redefining technology across the testing landscape. In terms of application development, there are newer requirements and trends such as Rapid Application Development (RAD) and Continuous Integration (CI) that are pushing the Quality Assurance teams to include automation at every step of the testing