As technology has proliferated business in every possible way, every enterprise is looking to invest in business applications. Software development is a heavy investment but it is justified because of the returns it is likely to bring for an organization. Whether you are investing in a web or mobile application or an enterprise-grade software solution, you have to understand that the quality of the software or application is of utmost importance. For this reason, you must join hands with a technology partner that ensures stringent QA and testing for each project it undertakes.
Now that the significance of software testing has been understood, you must know more about the testing techniques and innovations. The traditional manual approach involves evaluation of the application by a human tester who tests it from the user’s perspective to identify deviations if any. The process, however, has undergone a phenomenal change as the technology of Artificial Intelligence has taken over in the recent years. The innovative approach has enhanced the process of testing and development manifold.
Bots And AI- Impact On The Future Of Software Testing
Process Agility: Agility is the buzzword for software developers today as there is an increased focus on bringing quality products faster to market. AI-Powered bots make a great aid for keeping pace with agile development cycle as they are capable of discovering all the new features and bugs quickly. They are empowered to handle repetitive tasks in a better manner and require little maintenance.
Reduced Workloads: The biggest complexity related to software testing is the ever-changing parameters that testers come across during the development stages. This translates into extra workload for them. Robotic automation tools come to their rescue as they can be customized for running parallel tests and auto-tuning the tasks according to the changing requirements.
Advanced Continuous Testing: The adoption of AI is a smart move because it supports advanced continuous testing, which enhances the overall quality of the final product as well as strengthens the QA team with the capability to perform more viably on projects at present and in the future.
De-Bugging Efficiency: Unlike human testers, AI bots are able to work 24/7 which means that de-bugging can be done at any hour and even on weekends. The process can be done uninterruptedly and without the need of human intervention. This translates into accuracy in the anticipation of potential weak spots and speedier resolution of issues.
Cost-Effectiveness: Replacing human testers with AI bots not only boosts efficiency but also brings down costs of the development cycle. The transition serves cost-effectiveness as the repetitive tasks are automated while the proportion of the testing operations which requires creative and reasoning ability can be allocated to the humans. Overall, this ensures foolproof results as the possibilities of inaccuracies and inconsistencies are reduced to the minimum.
Although AI bots are seen as game-changers in the IT industry, there is a need to use them intelligently in order to derive maximum benefits from them. The real test is to adhere to the standard QA code as well as integrate the new features and highlights while automating the process. The transition should be a smooth one, with the technology working in tandem with human testers instead of completely relying on robotic automation of the process.