Automated Software Performance Regression Analysis System
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Solution Overview
Problem
Conventional systems face challenges in scaling and efficiency when detecting and addressing software performance regressions, often leading to human error and increased costs due to the complexity and size of software applications.
Innovation Solution
A system for software performance regression analysis that uses historical data to identify performance issues, determines responsible code elements, and prioritizes fixes, incorporating a change point detector, divergence analyzer, code ownership service, and regression report generator to automate the detection and reporting of performance regressions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual detection and analysis of software performance problems is used, then human expertise can identify issues, but the level of effort becomes unmanageable as software size and complexity increase
Solution Approach 1:
The patent replaces manual mechanical analysis with automated computer-based systems. The system automatically collects performance data, detects regressions using algorithms, analyzes root causes through code comparison, and generates reports without human intervention in the detection and analysis phases, thereby resolving the contradiction between detection accuracy and analysis efficiency.
Solution Approach 2:
The system enables self-service performance monitoring where the software automatically detects its own performance regressions, analyzes the causes, and identifies affected code elements. This self-diagnostic capability eliminates the need for manual effort while maintaining high detection precision, addressing the productivity challenge.
2Reliability
If manual analysis of software performance issues is performed, then detailed investigation can be conducted, but the efforts are difficult to scale
Solution Approach 1:
The patent creates a universal automated system that can handle multiple software applications, different types of performance metrics, and various regression scenarios through a single platform. The system scales by processing multiple applications simultaneously using the same automated detection and analysis mechanisms, maintaining reliability while achieving scalability.
Solution Approach 2:
By replacing manual analysis with automated computer-based systems, the patent enables the detection process to scale indefinitely without proportional increases in human effort. The automated system can analyze unlimited numbers of performance metrics across multiple applications simultaneously, providing both reliability and scalability.
3Measurement precision
If manual detection of software performance problems is used, then human judgment can be applied, but human error and bias are introduced
Solution Approach 1:
The patent replaces human judgment with automated algorithms and statistical analysis. The system uses consistent computational methods to detect and analyze performance regressions, eliminating human error and bias while maintaining high detection accuracy through objective, repeatable measurement and comparison processes.
4Reliability
If comprehensive performance monitoring is implemented, then all performance issues can be detected, but the complexity and cost to serve increase
Solution Approach 1:
The patent segments the performance monitoring system into distinct automated modules: data collection, regression detection, root cause analysis, and report generation. This segmentation manages system complexity by organizing functions into manageable, independent components while maintaining comprehensive monitoring coverage through the coordinated operation of these modules.
Solution Approach 2:
The automated computer-based system manages complexity through algorithmic processing and automated workflows. The system handles comprehensive performance monitoring by automatically collecting, analyzing, and interpreting data without manual intervention, reducing the operational complexity despite the comprehensive scope of monitoring.
Data Source
AI summary
Embodiments of the present disclosure relate to software application performance regression analysis. Other embodiments may be described and/or claimed.