Proactive Software Performance Evaluation and Support
Number of patents in Portfolio can not be more than 2000
United States of America
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Issued Date -
Nov 14, 2024
app pub date -
May 11, 2023
filing date -
May 11, 2023
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Abstract
Software performance evaluation and support is achieved proactively in a cloud architecture by collecting Key Performance Indicators (KPIs) of software performance across multiple tenants. Such software performance KPIs can include but are not limited to data volumes, backend calculation runtimes, and front end request runtimes. Influencing factors of a software performance model (e.g., model complexity, calculation complexity; application complexity) may be gathered. The collected data is referenced as a training corpus to create an Artificial Intelligence (AI) revealing correlation between model characteristic(s) and software performance. The AI is applied in the form of predictive analytics and/or Robotic Process Automation (RPA) to proactively identify software performance challenges and issue alerts. Embodiments may define lower thresholds and/or performance degradations that result in alert triggering. Correlating software performance model characteristics to KPIs highlights frequently-arising modelling issues. Application designers, software vendors, and end-users can receive modeling feedback/support early enough to make relevant adjustments.
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