Software Interface Removal Through Invocation Pattern Analysis
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Solution Overview
Problem
Redundant interfaces in software codebases lead to inefficiencies, requiring substantial developer resources for maintenance and increasing the likelihood of bugs and errors, as they often accumulate over time.
Innovation Solution
A method and system to identify and remove redundant interfaces by analyzing software instructions, utilizing reflection and code compilation to create a meta-model, and applying criteria to determine and implement modifications that eliminate these interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If interfaces are added to software codebases to provide abstraction layers, then software flexibility and maintainability are improved, but code complexity and maintenance burden increase over time
Solution Approach 1:
The system extracts and identifies redundant interfaces from the codebase by analyzing software instructions and determining which interfaces are no longer invoked by any units. These redundant interfaces are then removed to reduce code complexity while preserving the flexibility provided by necessary interfaces.
Solution Approach 2:
The system changes the state of interfaces from 'present' to 'removed' based on analysis of invocation patterns. By dynamically determining which interfaces are redundant through code analysis, the system adapts the codebase structure to optimize between flexibility and complexity.
2Reliability
If redundant interfaces are maintained in the codebase, then backward compatibility and functionality are preserved, but developer resources and time for maintenance increase
Solution Approach 1:
The system performs self-service by automatically analyzing the codebase, identifying redundant interfaces through reflection and code compilation, and generating removal recommendations without requiring manual developer analysis. This automates the maintenance process and frees developer resources.
Solution Approach 2:
The system provides feedback to developers by generating data describing modifications to remove redundant interfaces. This feedback mechanism enables informed decision-making about interface removal while preserving necessary functionality, balancing reliability and productivity.
3Measurement precision
If comprehensive code analysis is performed to identify redundant interfaces, then interface removal accuracy is improved, but computational resources and analysis time increase
Solution Approach 1:
The system performs partial analysis by focusing specifically on interface invocation patterns rather than analyzing entire codebases comprehensively. By using reflection and code compilation targeted at interface identification, the system achieves sufficient accuracy without exhaustive computational resource consumption.
Data Source
AI summary
An interface in a first unit of software instructions is identified, the interface being configured to be invoked by an invoking unit of software instructions and when invoked, to invoke a function in a second unit of software instructions. A plurality of other units of software instructions are analyzed to identify a set of units of software instructions that are configured to invoke the interface. Based on the set of the units of software instructions and at least one criterion, data descriptive of modifications that modify the first unit of software instructions to remove software instructions that implement the interface is provided.


