Software Anomaly Investigation File for Network Notification
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Solution Overview
Problem
Conventional agile software development techniques are inefficient for managing software changes after software has been released to end users, particularly in multi-user database computer environments.
Innovation Solution
A method and system for efficiently investigating and addressing software anomalies by creating an investigation file, identifying problematic functional characteristics, and transmitting notifications to a sub-group of computer-readable addresses associated with the issue, facilitating rapid resource allocation and communication within a computer network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional agile software development techniques are used for managing software changes after release, then collaboration between developers and users is maintained, but efficiency in managing software anomalies is insufficient
Solution Approach 1:
The system segments the anomaly management process by creating distinct functional modules: anomaly detection, investigation file generation, automated notification, and resolution tracking. This segmentation allows each component to operate independently and efficiently, improving overall productivity in managing software anomalies while reducing delays through parallel processing of different task components.
Solution Approach 2:
The system introduces an intermediary automated notification mechanism that acts as a mediator between anomaly detection and human investigation. This intermediary automatically generates investigation files and distributes notifications to relevant parties, eliminating manual coordination overhead and significantly reducing the time loss associated with manual anomaly management while maintaining collaborative workflows.
2Productivity
If manual investigation and communication methods are used for software anomalies, then communication among parties is maintained, but resource allocation and communication efficiency are reduced
Solution Approach 1:
The system implements a universal investigation file that serves multiple functions simultaneously: it documents the anomaly, tracks investigation progress, manages communication among parties, and records resolution status. This multi-functional approach consolidates what would otherwise require multiple separate tools and processes, improving resource allocation efficiency without proportionally increasing system complexity.
Solution Approach 2:
The system enables self-service through automated investigation file generation and automatic notification distribution. When an anomaly is detected, the system automatically creates the investigation file and identifies relevant parties based on the anomaly type, eliminating the need for manual resource coordination. This self-service capability significantly improves resource allocation efficiency while the automation actually reduces overall system complexity by replacing complex manual coordination procedures.
3Loss of information
If comprehensive notifications are sent to all parties, then complete information distribution is achieved, but communication overhead and processing time increase
Solution Approach 1:
The system applies local quality by customizing notification distribution based on the specific anomaly type and affected components. Instead of uniformly notifying all parties, the system identifies and notifies only the relevant sub-group of parties whose expertise and responsibilities align with the specific problematic functional characteristic. This targeted approach maintains complete information distribution to necessary parties while significantly reducing notification overhead and processing time compared to comprehensive universal notification.
Data Source
AI summary
The present invention is directed to methods and systems of distributing information in a computer network related to a report a software anomaly that includes receiving information concerning the reported software anomaly (RSA); identifying a problematic functional characteristic included in the RSA; ascertaining from a plurality of computer-readable addresses a sub-group of the computer-readable addresses that correspond to parties with information corresponding to the problematic functional characteristic; storing on the computer network an investigation record having associated therewith data corresponding to the RSA; and transmitting to the sub-group a message perceivable by the parties indicating a location on the computer network of the investigation record.