Dynamic Software Anomaly Response With Proactive Notifications
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Solution Overview
Problem
Existing systems fail to efficiently detect anomalies in software applications, leading to excessive network traffic and resource exhaustion at organizations, causing network congestion and dropped calls due to user inquiries about malfunctioning applications.
Innovation Solution
A system that proactively detects anomalies in software applications, generates custom text notifications to inform users, and determines countermeasure actions to resolve the issues, reducing network traffic and improving system operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the organization provides software applications to users, then users can perform operations, but when anomalies occur, users contact the organization excessively causing network congestion and resource exhaustion
Solution Approach 1:
The system proactively detects anomalies in software applications before they affect users and publishes notifications in advance. This preliminary action prevents users from contacting the organization about issues that haven't occurred yet, thereby avoiding network congestion and resource exhaustion while maintaining software functionality.
2Reliability
If users contact the organization about software anomalies, then user issues are addressed, but network resources are exhausted and calls are dropped
Solution Approach 1:
The system continuously monitors software application performance and provides feedback to users through notifications about detected anomalies. This feedback mechanism informs users that issues are already being addressed, reducing their need to contact the organization and preventing network resource exhaustion while maintaining reliable issue resolution.
Solution Approach 2:
By detecting anomalies before they impact users and publishing notifications in advance, the system performs preliminary action that prevents the cascade of user contacts that would exhaust network resources, while still ensuring issues are resolved reliably.
3Measurement precision
If the organization monitors network traffic for anomalies, then anomalies can be detected, but network traffic increases and processing resources are consumed
Solution Approach 1:
The system extracts and analyzes only the most critical anomaly indicators from network traffic rather than processing all traffic data. This selective extraction maintains high anomaly detection accuracy while reducing the complexity of the monitoring system and the resources required for analysis.
4Object-affected harmful factors
If custom notifications are published for each anomaly, then users are informed and network traffic is reduced, but system processing time increases
Solution Approach 1:
The system changes the parameters of anomaly notification by publishing customized messages that provide users with specific information about the anomaly and expected resolution time. This approach reduces network traffic by informing users while managing their expectations, and the processing time is optimized by using template-based notification generation rather than custom manual responses.
Data Source
AI summary
A system determines content indicated on a website where a software application is accessible. The system receives a set of rules comprising a first rule that indicates a first generated response is to be published on one or more first platforms. The system generates a first text response according to the first rule and based on the determined content, an anomaly associated with a software application, and a countermeasure action that addresses or resolves the anomaly. The system determines whether the first generated text response corresponds to an expected response. In response to determining that the first generated text response corresponds to the expected response, the system publishes the first generated text response on the one or more first platforms.