Dynamic UI Validation in Multi-Tenant Services
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Solution Overview
Problem
In on-demand multi-tenant service environments, upgrading computer program code can lead to compatibility issues due to errors or ambiguities in new versions, causing client programs to malfunction, as existing validation methods fail to ensure substantive similarity in compiler results between different builds.
Innovation Solution
A validation logic system that processes user-submitted computer program code by translating it into an intermediate representation, comparing results between different builds, and presenting differences to users, ensuring compatibility by filtering out non-substantive changes and identifying regression errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If new versions of building blocks are upgraded to enhance functionality, then the features and capabilities are improved, but compatibility issues arise causing client programs to malfunction
Solution Approach 1:
The validation system performs preliminary actions by compiling client program code against both the old and new versions of building blocks before the upgrade is deployed. This allows compatibility issues to be detected in advance, enabling the system to prevent unreliable upgrades from being activated while still allowing functional enhancements to proceed.
Solution Approach 2:
The system implements feedback by comparing compiler results from both old and new building block versions, identifying substantive differences that indicate compatibility problems. This feedback mechanism allows the system to automatically detect when an upgrade would cause client program failures and prevent deployment of such problematic versions.
2Reliability
If validation is performed on all compiler results to ensure compatibility, then reliability is improved, but the complexity of the validation system increases
Solution Approach 1:
The system extracts only the substantive differences between compiler results using pattern matching and filtering techniques. By focusing only on meaningful changes rather than comparing entire compiler outputs, the system reduces validation complexity while maintaining reliability in detecting compatibility issues.
Solution Approach 2:
The validation system acts as an intermediary layer between the compiler and the deployment process. It intercepts compiler results, performs intelligent comparison and analysis, and determines whether upgrades should proceed. This intermediary approach automates the validation process, reducing the need for complex manual validation procedures.
3Reliability
If comprehensive validation is performed to identify all errors, then reliability is improved, but the time required for validation increases
Solution Approach 1:
The system replaces manual validation mechanics with automated computational processes. By using computer algorithms to compare compiler results, identify patterns, and detect substantive differences, the system achieves comprehensive error detection much faster than manual validation would allow, thus improving reliability without proportionally increasing validation time.
Data Source
AI summary
Methods, systems, apparatus, and computer-readable media for validating components of a dynamic user interface in an on-demand multi-tenant service environment are disclosed. Organizations corresponding to tenants in the on-demand multi-tenant service environment are identified. A multi-tenant database system residing on multiple servers is provided for each of the identified organizations. Dynamic user interface pages associated with the organizations are identified. First and second compilation outputs based upon respective first and second invocations of a compiler configured to compile the one or more dynamic user interface pages are produced with reference to respective first and second builds of computer program code. Differences between the first and second compilation outputs are identified and presented in a user interface on a display device of the multi-tenant service environment. The differences can be identified by performing a comparison and selecting one or more differences that match a pattern specifier.