Iterative neural code translation
US-2024184555-A1 · Jun 6, 2024 · US
US2016110280A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016110280-A1 |
| Application number | US-201414519083-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 20, 2014 |
| Priority date | Oct 20, 2014 |
| Publication date | Apr 21, 2016 |
| Grant date | — |
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In embodiments of iterative detection of forms-usage patterns, a data analytics application can be implemented to receive analytics data associated with one or more data forms that each include data-entry fields displayed in a user interface, where the data-entry fields are designed for data entry, such as by a user of a computing device. The data analytics application can determine data-entry problems with the data-entry fields of the data forms based on the analytics data, as well as identify a critical data-entry problem with a data-entry field of a data form, the critical data-entry problem being identified as one of the determined data-entry problems. A distribution scale can be generated and displayed to depict the determined data-entry problems along with the critical data-entry problem. The data form can also be displayed in a preview mode with the analytics data displayed on the data form itself to indicate the data-entry problems.
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1 . A method, comprising: receiving analytics data associated with one or more data forms that each include data-entry fields displayed in a user interface configured for data entry; determining data-entry problems with one or more of the data-entry fields of the one or more data forms based on the analytics data; identifying a critical data-entry problem with a data-entry field of a data form, the critical data-entry problem identified as one of the determined data-entry problems; and di…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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