Walkthrough Criteria Matching for Cloud Applications
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Solution Overview
Problem
Existing walkthrough systems face challenges in modifying or updating stages without disrupting the start and completion criteria, leading to mismatched conditions that affect the functionality of the walkthroughs, particularly in cloud computing environments where business models change frequently.
Innovation Solution
A database system is implemented to automatically match and generate new start and completion criteria when stages are added, removed, or modified, ensuring that walkthroughs remain functional and up-to-date with the latest business model changes, and provides a preview for validation by users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If walkthrough stages are manually updated or modified to reflect business model changes, then the walkthrough content remains relevant to current business operations, but mismatched start and completion criteria occur leading to functionality disruptions
Solution Approach 1:
The system performs self-service by automatically detecting when walkthrough stages are added, removed, or modified, and then autonomously regenerates the start and completion criteria without requiring manual intervention. This self-correcting mechanism ensures criteria remain matched while allowing flexible updates to walkthrough content.
Solution Approach 2:
The system performs preliminary action by proactively regenerating start and completion criteria before functionality disruptions can occur. When stage modifications are detected, the system immediately updates the criteria to prevent mismatched conditions rather than waiting for errors to manifest.
2Reliability
If automated regeneration of criteria is implemented, then criteria matching is maintained, but system complexity increases
Solution Approach 1:
The system introduces an intermediary component that acts as a mediator between walkthrough stage definitions and criteria generation. This intermediary layer handles the complex logic of detecting stage changes and regenerating criteria, isolating the complexity from both the user interface and core walkthrough functionality.
Solution Approach 2:
The system implements feedback by continuously monitoring walkthrough stage configurations and automatically responding to changes by regenerating criteria. This closed-loop feedback mechanism maintains criteria matching through automated detection and correction, reducing the need for complex manual management procedures.
Data Source
AI summary
Disclosed are examples of systems, apparatus, methods and computer program products for automatically matching start criteria and completion criteria of a walkthrough for an application or an online service. A database storing data objects identifying walkthroughs and walkthrough stages can be maintained. An indication can be received that walkthrough stages of a first walkthrough in the database have been added, removed, or modified. It can be determined that a first completion criterion associated with a first walkthrough stage of the first walkthrough and a first start criterion associated with a second walkthrough stage of the first walkthrough do not match. The first start criterion and the first completion criterion can be processed to generate a matched start criterion and a matched completion criterion. The first start criterion and the first completion criterion can be replaced with the matched start criterion and the matched completion criterion to generate a modified walkthrough.