Code Review Context Profile Impact Analysis

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Solution Overview

Problem

Existing methods for reviewing software code changes lack insight into how these changes affect the application as a whole, providing only file-level comparisons that may not reveal significant or unexpected impacts.

Innovation Solution

A method and system that utilize a context profile associated with the application, including static analysis, to determine the effects of code changes on inputs and outputs, identifying affected areas and providing real-time reports to developers or reviewers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If file-level comparison is used for code review, then the review process is simple and fast, but the insight into application-level impact is insufficient

Engineering Contradiction:
Improveimpact assessment accuracyVSAvoidreview system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary system that sits between the file-level comparison and the reviewer. This intermediary performs static analysis, builds application models, and translates file-level changes into application-level impact assessments. The intermediary includes components like a static analysis engine, application model builder, and impact analysis module that collectively bridge the gap between simple file comparison and comprehensive application impact assessment.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The review system is segmented into multiple independent modules: file-level comparison module, static analysis module, application model building module, and impact analysis module. Each module handles a specific aspect of the review process, allowing the system to maintain simplicity in individual components while achieving comprehensive application-level analysis through their integration.

Inventive Principle:
Principle #1Segmentation

2Loss of information

If comprehensive application-level analysis is performed, then the insight into change impact is improved, but the review time and complexity increase

Engineering Contradiction:
Improveinformation completenessVSAvoidreview time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary actions by building application models and identifying code paths before the actual code review takes place. The static analysis and application modeling are conducted in advance, creating a ready-to-use framework that enables rapid impact assessment when code changes are submitted, thus reducing the time required for comprehensive analysis at the point of review.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system applies partial analysis by focusing only on the code paths and application areas that are actually affected by the submitted changes, rather than performing exhaustive analysis on the entire application. The impact analysis module identifies and analyzes only the relevant portions of the application model that are connected to the changed files, providing sufficient information without unnecessary overhead.

Inventive Principle:
Principle #16Partial or excessive action

3Difficulty of detecting and measuring

If static analysis and application modeling are implemented, then the detection precision of change effects is improved, but the computational resources required increase

Engineering Contradiction:
Improvechange effect detection capabilityVSAvoidcomputational resource consumption
Core Design Contradiction:
Difficulty of detecting and measuringVSUse of energy by moving object

Solution Approach 1:

The static analysis and application modeling focus on local quality by concentrating computational resources on the specific files, code paths, and application areas that are actually affected by the changes. The system identifies and analyzes only the relevant portions of the codebase and application model, rather than uniformly analyzing the entire application, thus improving detection precision while reducing overall computational resource consumption.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11836485B1Software code review
Publication Date: 2023.12.05 RAPID7 INC
  • US11836485B1 patent drawing
  • US11836485B1 patent drawing
  • US11836485B1 patent drawing

AI summary

Methods and systems for reviewing software code. The methods involve detecting a change in source code associated with an application and determining an effect on the application of the detected change based at least in part on a context profile associated with application.