Cell apps tester Kobiton introduced plans to roll out an AI problem aggregation engine early subsequent yr. The AI-driven engine will permit customers to group associated errors and establish shared commonalities throughout check periods, the corporate mentioned.
Kobiton made the announcement September 26. Offering one instance of how the engine would work, Kobiton mentioned points that appear to be distinct, similar to button occlusion throughout totally different units, might be recognized as stemming from the identical trigger, similar to a shared display decision. Kobiton’s AI problem aggregation engine can consolidate these errors right into a single bug, eliminating handbook steps and streamlining debugging for builders, the corporate mentioned.
Presently, Kobiton permits clients and an ecosystem of third-party AI suppliers to combine their very own AI algorithms to research the cell machine “exhaust” that’s captured throughout a check session. This exhaust contains vital information similar to check steps, display photographs, full video seize at 30 frames per second, machine logs, system metrics, community payloads, machine well being statistics, and XML for every check.
