Software Application Optimization via Unused Module Detection
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Solution Overview
Problem
Software applications often contain unused or obsolete components that consume resources and slow down the application, making it difficult for conventional systems to identify and remove them without causing application failures.
Innovation Solution
A deterministic method is implemented to identify unused software modules by tracking their usage during application execution, generating reports, and analyzing metrics to determine which modules are obsolete, allowing for their removal and reordering or combination to optimize the application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software modules are added to provide new functionality, then adaptability and versatility improve, but device complexity and application bulk increase
Solution Approach 1:
The patent segments the software application into modular components, allowing individual modules to be independently identified, analyzed, and managed. This segmentation enables the system to track which specific modules are used and which are obsolete, making it possible to remove unnecessary modules without affecting the entire application.
Solution Approach 2:
The patent implements a mechanism to identify and discard obsolete software modules that are no longer used by the application. By systematically removing these unused modules, the application maintains adaptability while reducing complexity and resource consumption.
2Adaptability or versatility
If software modules are added over time, then adaptability improves, but boot-up time and resource consumption increase
Solution Approach 1:
The patent performs preliminary analysis during application execution to identify which modules are actually used. This preliminary action allows the system to prepare an optimized module configuration that can be deployed in future versions, reducing boot-up time while preserving necessary functionality.
Solution Approach 2:
By identifying and removing obsolete modules that contribute to boot-up time and resource consumption, the patent reduces the application's size and startup requirements while maintaining the adaptability needed for core functionality.
3Loss of energy
If unused modules are removed to reduce application bulk, then resource consumption decreases, but application reliability may worsen due to potential failures
Solution Approach 1:
The patent implements a feedback mechanism that tracks module usage during application execution. This feedback information is used to make informed decisions about which modules can be safely removed, ensuring that only truly unused modules are discarded and that removal decisions do not compromise application reliability.
Solution Approach 2:
The patent replaces manual or heuristic module removal approaches with an automated, data-driven system that uses runtime tracking and analysis to identify obsolete modules, reducing the risk of erroneous removal decisions that could harm application stability.
4Ease of operation
If manual module removal is performed based on developer suspicion, then ease of operation improves, but reliability worsens due to potential application failures
Solution Approach 1:
The patent enables the system to automatically identify and flag obsolete modules based on runtime usage data, eliminating the need for developers to manually guess which modules are unused. This self-service approach provides objective, data-driven guidance for module removal decisions.
Solution Approach 2:
The patent replaces manual developer judgment with an automated analysis system that uses runtime tracking data to identify obsolete modules, providing a more reliable and less error-prone method for determining which modules can be safely removed.
Data Source
AI summary
Embodiments of the present disclosure relate to software optimization by identifying unused/obsolete components of a software application. Other embodiments may be described and/or claimed.