US 11,726,996 B2
Analyzing query comments for identifying potential software bugs
Orestis Kostakis, Redmond, WA (US)
Assigned to Snowflake Inc., Bozeman, MT (US)
Filed by Snowflake Inc., Bozeman, MT (US)
Filed on Mar. 9, 2022, as Appl. No. 17/654,147.
Application 17/654,147 is a continuation of application No. 17/533,932, filed on Nov. 23, 2021, granted, now 11,294,895.
Application 17/533,932 is a continuation of application No. 17/241,745, filed on Apr. 27, 2021, granted, now 11,188,528.
Claims priority of provisional application 63/143,803, filed on Jan. 30, 2021.
Prior Publication US 2022/0245135 A1, Aug. 4, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/24 (2019.01); G06F 16/245 (2019.01); G06F 11/36 (2006.01)
CPC G06F 16/245 (2019.01) [G06F 11/362 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A method performed by a data platform executing instructions on at least one hardware processor, the method comprising:
obtaining query comments associated with a query; and
based on determining that the query comments include a reference to a software bug of the data platform:
generating a software-bug alert based on the query comments; and
transmitting the software-bug alert to an endpoint.