IDE Performance Issue Matching Through Development Call Stacks
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Solution Overview
Problem
Software development environments face challenges in efficiently identifying and presenting only the most impactful performance issues across different hardware and operating systems, leading to overwhelming user interfaces and excessive computational resource usage.
Innovation Solution
A method that maintains development and end-user application call stacks to match potential performance issues, allowing the presentation of a user interface that highlights only those issues likely to have a significant customer impact, thereby reducing computational resources and improving the user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all potential performance issues are presented in the user interface, then completeness of issue identification is improved, but user interface complexity and computational resource usage increase
Solution Approach 1:
The patent extracts and removes non-critical performance issues from the user interface presentation. By analyzing call stack similarity between development and end-user environments, the system identifies and filters out issues that are specific to development environments only, presenting only those issues that match or are relevant to end-user experiences. This extraction principle reduces UI complexity while maintaining completeness of critical issue identification.
Solution Approach 2:
The patent applies different quality levels to different issues based on their relevance. Critical issues that match end-user call stacks are presented with full detail and priority, while non-matching development-specific issues are either summarized, grouped, or excluded. This local differentiation of quality and presentation depth optimizes the user interface by focusing attention on the most important issues.
2Measurement precision
If all potential performance issues are analyzed and presented, then measurement precision is improved, but computational resource usage increases
Solution Approach 1:
The patent performs partial analysis by focusing computational resources on comparing only the necessary call stack portions. Instead of analyzing entire call stacks in full detail, the system identifies and compares key frames (particularly the last application frames) that are most indicative of performance issues. This partial action approach maintains detection precision for critical issues while significantly reducing overall computational resource consumption.
Solution Approach 2:
The patent extracts and removes redundant computational analysis by identifying issues that do not match between development and end-user environments. By using call stack similarity comparison, the system extracts only the matching issues that require detailed analysis, avoiding wasteful computational resources on development-specific issues that will not affect end-users.
3Reliability
If call stack comparison is performed for all potential issues, then reliability of issue matching is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary filtering and comparison of call stacks before detailed analysis. By first comparing key identifying features (such as the last application frames and region information) and only performing full detailed comparison on potentially matching issues, the system establishes reliability efficiently. This preliminary action approach ensures accurate matching of critical issues while minimizing processing time by avoiding exhaustive comparison of all issues.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for presenting data for potential performance issues in a software development IDE. One of the methods includes maintaining a development call stack captured as a result of identification of a potential development performance issue while an application was executed on a physical developer device or simulated device; maintaining an end-user application call stack captured as a result of identification of a potential end-user application performance issue; determining whether a potential end-user application performance issue matches a potential development performance issue; and providing instructions to cause presentation of a user interface on a display that depicts at least a portion of human readable code for the application and a user interface element that identifies a potential performance issue for which the potential end-user application performance issue matches the potential development performance issue.