Software Modification Impact Scoring for User Experience
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Solution Overview
Problem
Developers lack a rigorous, quantifiable guide for determining the probable effect that modifications to computer software applications will have on user experience, as these modifications can adversely affect operational parameters such as execution time, power consumption, and user interaction, leading to degraded user experience.
Innovation Solution
An automated system and method for assessing software application modifications using machine-measurable parameters to generate an amelioration score, which quantifies the impact of modifications on user experience by correlating processing time, user interactions, and user feedback, and generates reports or alerts based on these metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software modifications are made to add new or enhance existing features, then functionality and user capabilities are improved, but operational parameters such as execution time, power consumption, and user interaction may deteriorate
Solution Approach 1:
The system performs preliminary assessment of modifications by computing amelioration scores before actual deployment. It identifies affected functionalities and predicts impacts on operational parameters in advance, allowing developers to evaluate potential trade-offs before committing to the modification.
Solution Approach 2:
The system establishes a feedback loop where user experience data and operational parameter measurements are continuously collected after modification deployment. This feedback is used to update amelioration scores and generate alerts when performance degradation exceeds thresholds, enabling iterative refinement of modifications.
2Adaptability or versatility
If software modifications are made to add new or enhance existing features, then functionality and user capabilities are improved, but operational parameters such as power consumption may worsen
Solution Approach 1:
The system computes amelioration scores that incorporate power consumption as a key operational parameter before modification deployment. It predicts the energy impact of modifications on affected functionalities, allowing developers to assess power trade-offs in advance.
Solution Approach 2:
The system continuously monitors power consumption metrics after modification deployment and compares them against baseline values. When power consumption degradation exceeds predetermined thresholds, the system generates alerts and can trigger rollbacks to maintain energy efficiency.
3Adaptability or versatility
If software modifications are made to add new or enhance existing features, then functionality and user capabilities are improved, but user interaction quality may worsen
Solution Approach 1:
The system identifies functionalities affected by modifications and predicts impacts on user interaction quality before deployment. It computes amelioration scores that incorporate user interaction metrics, allowing developers to evaluate usability trade-offs in advance.
Solution Approach 2:
The system collects user feedback and interaction quality metrics after modification deployment, comparing them against baseline measurements. When user interaction quality degradation exceeds thresholds, the system generates alerts and can initiate rollbacks to preserve ease of operation.
4Measurement precision
If automated assessment systems are implemented to evaluate modifications, then modification impact can be quantified and controlled, but system complexity increases
Solution Approach 1:
The assessment system is divided into modular components: modification impact analyzer, amelioration score computer, alert generator, and rollback manager. Each component handles a specific aspect of the assessment process, making the overall system more manageable and maintainable despite its complexity.
Solution Approach 2:
The system uses a unified amelioration score framework that can assess multiple operational parameters (execution time, power consumption, user interaction) simultaneously. This multi-functional approach reduces complexity compared to implementing separate assessment systems for each parameter.
Data Source
AI summary
A contrastive review of a computer software application modification includes retrieving an amelioration score for a computer software application, the amelioration score based on a predetermined set of operational attributes associated with functionalities of the computer software application. The functionalities that are affected by the modification of the computer software application are identified and changes to operational attributes associated with the functionalities affected by the modification are determined. A revised amelioration score is generated by recomputing the amelioration score based on the changes to operational attributes of the functionalities affected. The impact of the modification is determined based on a comparison of the amelioration score and the revised amelioration score. A modification report based on the impact is generated.