Smart Progress Indicator for Script Execution
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Solution Overview
Problem
Scripting languages often lack precise progress indication logic, relying on static markers that provide inaccurate duration estimates, failing to accurately inform users about the execution progress of scripts.
Innovation Solution
A system and method that uses a script execution engine, a history table, and a smart progress indicator to compute and update the expected duration of script execution by annotating script portions with duration tags and conditions, allowing for dynamic adjustment based on observed execution times, thereby providing a more accurate progress indication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static markers are used to indicate progress milestones, then the progress indicator can be implemented with simple logic, but the accuracy of duration estimation deteriorates because the markers rely on developer guesses rather than actual execution data
Solution Approach 1:
The system pre-annotates script portions with expected duration information before execution. These annotations serve as preliminary data that will be refined during actual script runs, allowing the progress indicator to start with reasonable estimates rather than developer guesses.
Solution Approach 2:
The system implements a feedback mechanism where actual execution durations of annotated script portions are measured and used to update the expected duration values in the history table. This feedback loop continuously improves the accuracy of progress indications over time.
2Reliability
If the progress indicator uses static milestone markers, then the system remains simple and easy to operate, but the reliability of progress information deteriorates because it cannot adapt to actual execution conditions
Solution Approach 1:
The progress indicator transitions from a static system to a dynamic one by continuously updating expected duration values based on actual execution measurements. The system adapts to varying execution conditions by refining its estimates over multiple script runs.
Solution Approach 2:
The system improves its own reliability automatically by measuring actual execution times and updating its internal history table without requiring manual intervention. The progress indicator becomes self-correcting and self-improving through automated feedback processing.
3Measurement precision
If annotated portions with duration tags are implemented, then the expected duration computation becomes more accurate, but the script complexity increases due to additional annotations and history table management
Solution Approach 1:
The script is divided into annotated portions with specific duration tags. This segmentation allows the system to measure and track execution time of individual logical units, improving overall duration estimation accuracy while maintaining manageable complexity through structured breakdown.
Data Source
AI summary
Embodiments of the present invention address deficiencies of the art in respect to progress indication and provide a method, system and computer program product for intelligent progress indication for script processing. In one embodiment, a progress indication data processing system can be provided. The system can include a script execution engine such as an ANT configured script execution engine, a history table, and a smart progress indicator coupled to the history table. The indicator can include program code enabled to compute an expected duration of execution of a script such as an ANT script by the script execution engine based upon measured observed durations of execution for annotated portions of the script, for instance, both for the current execution and for previous successful executions.