Active Time Calculation via Peripheral Signal Correlation
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Solution Overview
Problem
Conventional time tracking systems in software development fail to accurately distinguish between active developer time and automated application functions, leading to inaccurate monitoring of productivity and efficiency.
Innovation Solution
A computing system that aggregates data from software development applications to calculate active time by differentiating between developer engagement and automated functions, using machine learning algorithms and API interactions to analyze activity data and input signals from peripheral devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional time tracking systems are used to monitor employee time, then time data can be collected, but the accuracy of distinguishing active developer time from automated application functions is poor
Solution Approach 1:
The patent segments time tracking into two distinct components: active developer time and automated application time. By separating these measurements and tracking them independently through different mechanisms (manual entry vs. automated logging), the system achieves higher measurement precision without requiring a complete overhaul of the time tracking infrastructure.
Solution Approach 2:
The patent introduces an intermediary mechanism that captures system events and correlates them with developer activity. This intermediary layer processes automated application logs and distinguishes between developer-initiated actions and automated functions, thereby improving measurement accuracy without directly modifying the core time tracking system.
2Reliability
If manual time entry is required from users, then time data can be recorded, but the productivity and efficiency of the process decrease
Solution Approach 1:
The system enables automated self-service time tracking by logging application usage and system events without requiring developer intervention. The automated application time is captured through system hooks and event listeners, while active developer time is inferred from patterns of interaction, thereby maintaining data reliability while eliminating manual entry requirements.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor developer activity patterns and automatically adjust time allocation between active and automated categories. By providing real-time feedback on detected patterns and allowing for correction, the system maintains high data accuracy without burdening developers with manual time tracking.
3Loss of information
If automated application functions are not distinguished from active developer time, then time tracking is simpler, but the insight into actual productivity is lost
Solution Approach 1:
The patent employs dynamic analysis that adapts to varying developer workflows and application behaviors. By continuously learning from activity patterns and adjusting the distinction between active and automated time based on observed behaviors, the system preserves detailed information about developer engagement without requiring rigid, complex classification rules.
Data Source
AI summary
Aspects of the invention include computer-implemented methods, computing systems and computer program products for calculating an active time on a software application with respect to a first work item. A computer-implemented method includes retrieving activity data from a software development application and a plurality of input signals generated by a peripheral device. The method further includes determining a causal relationship between the input data and any events described by the activity data. In response to a determination of a causal relationship, a first time interval is calculated between an initial signal and a final signal of the plurality of input signals. The first time interval is compared to an estimated time interval. A schedule of a second work item is determined based on the comparison, wherein the first time interval relates to a first work item.