Source Code Migration Using Runtime Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for migrating source code from one format to another, such as static analysis, fail to effectively handle semantic differences, leading to tedious and time-consuming manual corrections due to the inability to determine critical runtime information like object data types until execution.
Innovation Solution
Executing the source code in an environment compatible with the source format, analyzing runtime information, identifying incompatibilities with the target format, and using a data structure of solutions to convert the code to the target format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If static analysis is used to migrate source code, then syntactic differences can be handled, but semantic differences cannot be effectively handled
Solution Approach 1:
The patent performs preliminary actions by executing the source code in a runtime environment before migration to capture runtime information such as object data types. This preliminary execution allows the system to gather critical semantic information that static analysis cannot obtain, enabling more accurate migration decisions to be made beforehand.
Solution Approach 2:
The patent introduces a runtime environment as an intermediary between the source code and the migration process. This intermediary executes the source code and provides runtime information (object data types, variable values, etc.) that mediates the migration process, allowing semantic differences to be properly handled while maintaining code behavior accuracy.
2Device complexity
If static analysis is used for code migration, then the process is simpler, but manual corrections are required which makes it time consuming
Solution Approach 1:
The patent enables the code migration process to be self-service by automatically capturing runtime information and using it to guide the migration. The system serves itself by executing the source code, analyzing the runtime behavior, and automatically applying appropriate migration transformations without requiring manual intervention for corrections.
Solution Approach 2:
The patent implements feedback by using the captured runtime information to inform and adjust the migration process. The runtime data provides feedback about actual code behavior, allowing the migration tool to make intelligent decisions about how to transform the code while preserving semantics, thereby reducing or eliminating the need for manual corrections.
3Productivity
If runtime information is not captured, then the migration process is faster, but critical code behavior information is lost
Solution Approach 1:
The patent performs preliminary execution of the source code to capture runtime information before the migration process begins. This preliminary action ensures that critical information such as object data types, variable values, and runtime behavior is recorded in advance, preventing information loss during migration while maintaining process efficiency.
Data Source
AI summary
Source code is automatically migrated from a source format to a target format. In particular, the execution of the source code is dynamically analyzed for incompatibilities using runtime information. Solutions for the incompatibilities are additionally determined. Based on the identified incompatibilities and solutions, the source code is converted from the source format to the target format.