Systems and methods for real-time adaptive experiment management on software applications

A system for adaptive experiment management in an application environment, comprising:

• a processor operatively coupled to a memory, the memory storing instructions that, when executed by the processor, cause the system to:
• receive data associated with an experimental application, wherein the data comprises at least a start time, current progress, historical metrics, configuration parameters, and user behavior data;
• detect anomalies in the received data using one or more machine learning models;
• compute a projected completion time of the experimental application based on the received data, wherein the computation is based on a selection of one or more statistical models;
• determine whether one or more adjustment conditions are met based on the computed projected completion time and the received data;
• in response to the determination that the adjustment conditions are met, modify one or more experiment parameters for the experimental application;
• and
• generate one or more modified experiment parameters based on the modification to the one or more experiment parameters.

A computer readable storage medium having data stored therein representing software executable by a computer, the software comprising instructions that, when executed, cause the computer readable storage medium to perform:

• receiving data associated with an experimental application, wherein the data comprises at least a start time, current progress, historical metrics, configuration parameters information, and user behavior data;
• detecting anomalies in the received data using one or more machine learning models;
• computing a projected completion time of the experimental application based on the received data, wherein the computation is based on a selection of one or more statistical models;
• determining whether one or more adjustment conditions are met based on the computed projected completion time and the received data;
• and
• in response to the determination that the adjustment conditions are met, modifying one or more experiment parameters for the experimental application;
• and
• generating one or more modified experiment parameters for the experimental application based on the modification to the one or more experiment parameters.