Automated Object-Oriented Logging via Wrapper Metadata
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Solution Overview
Problem
Current software systems face inefficiencies and increased development costs due to the need for manual insertion of logging mechanisms, leading to redundancy and decreased developer productivity as multiple team members write and debug logging code for complex systems.
Innovation Solution
An automated logging system is implemented using a metadata method generation module at design time and a wrapper object at runtime, which generates additional methods to retrieve metadata and encapsulate objects, allowing for automated logging without modifying the original code, thereby reducing redundancy and effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual logging mechanisms are inserted into software methods, then logging functionality is achieved, but development time and effort increase due to redundant work by multiple team members
Solution Approach 1:
The logging functionality is extracted from individual software methods and consolidated into a separate logging framework. The instrumentation module automatically generates logging code outside the original business logic, allowing logging to be implemented without modifying existing methods. This eliminates redundant logging code written by multiple team members while maintaining comprehensive logging coverage.
Solution Approach 2:
The system performs preliminary actions by automatically generating logging infrastructure and instrumentation code before the actual software execution. The design-time component creates logging configurations and the runtime instrumentation module prepares logging mechanisms in advance, so that when software methods execute, logging is already in place without requiring manual insertion during development.
2Reliability
If additional logging instructions and data structures are inserted into software methods, then logging capability is provided, but code complexity increases
Solution Approach 1:
The logging system is segmented into distinct functional modules: a design-time instrumentation module that generates logging code, a runtime logging framework that executes the logging, and a separate configuration component. This segmentation isolates logging complexity from the original software methods, allowing the business logic to remain clean while the logging infrastructure handles complexity in dedicated modules.
Solution Approach 2:
An intermediary instrumentation module is introduced between the original software methods and the logging framework. This mediator automatically generates and manages logging instructions, acting as a buffer that prevents direct complexity injection into business logic methods. The intermediary handles all logging-related data structures and instructions without requiring their insertion into original code.
3Reliability
If multiple team members write and debug logging code for different code modules, then comprehensive logging coverage is achieved, but redundancy of effort increases
Solution Approach 1:
The logging framework is designed as a universal, multi-functional system that can automatically instrument and log any software method regardless of which team member developed it. The instrumentation module provides a single unified logging mechanism that works across all code modules, eliminating the need for each team member to write and debug separate logging code while maintaining comprehensive coverage across the entire system.
4Reliability
If logging code is manually inserted into each software method, then method-specific logging is achieved, but automation is reduced
Solution Approach 1:
The system performs preliminary automatic generation of method-specific logging code at design time. The instrumentation module analyzes software methods and automatically generates appropriate logging instructions for each method based on its signature and characteristics. This preliminary automation creates method-specific logging without requiring manual insertion, achieving both customization and automation.
Solution Approach 2:
The logging system enables self-service by allowing the instrumentation module to automatically generate and configure logging code for each software method without human intervention. The system serves itself by automatically instrumenting methods, generating logging statements, and configuring logging parameters based on method characteristics, eliminating the need for manual logging code insertion while maintaining method-specific logging capabilities.
Data Source
AI summary
Example systems and methods of logging information in an object-oriented system are presented. In one example, a first object including a plurality of first methods is received. The first object also includes an additional method to receive an identity of one of the first methods and to return metadata corresponding to the one of the first methods. A wrapper object is created for the first object and includes a plurality of second methods. Each second method includes an interface that is equivalent to an interface of a corresponding first method. Each of the second methods is configured to call the additional method of the first object to retrieve the metadata for the corresponding first method, call the corresponding first method, receive a return value from the corresponding first method, return the return value, and store information regarding the corresponding first method based on the retrieved metadata.