US 11,947,447 B2
Systems and methods for evaluating product testing
Chris Yin, Redwood City, CA (US); Russell Howard Smith, San Francisco, CA (US); Frederick Henry Stevens-Smith, San Francisco, CA (US); Derek Choy, Dublin, CA (US); and Elliot Beaudoin, El Sobrante, CA (US)
Assigned to Rainforest QA, Inc., San Francisco, CA (US)
Filed by Rainforest QA, Inc., San Francisco, CA (US)
Filed on May 3, 2019, as Appl. No. 16/403,427.
Prior Publication US 2020/0349056 A1, Nov. 5, 2020
Int. Cl. G06F 11/36 (2006.01); G06F 16/957 (2019.01); H04L 67/50 (2022.01); H04L 67/54 (2022.01)
CPC G06F 11/3664 (2013.01) [G06F 11/3612 (2013.01); G06F 16/9577 (2019.01); H04L 67/535 (2022.05); H04L 67/54 (2022.05)] 35 Claims
OG exemplary drawing
 
1. An electronic system comprising a first data retriever configured to communicate with a first database associated with an analytic tool, and a second data retriever configured to communicate with a second database associated with an electronic testing device;
wherein the analytic tool is configured to generate and store information regarding actual usage of a product in the first database;
wherein the electronic testing device is configured to generate and store product testing data for the product in the second database;
wherein the first data retriever comprises a first communication interface configured to electronically receive the information regarding the actual usage of the product from the first database;
wherein the second data retriever comprises a second communication interface configured to electronically receive the product testing data from the second database, the second database being different from the first database; and
wherein the electronic system further comprises a processing unit configured to compute a score indicating a quality of product testing for the product based on the information regarding the actual usage of the product and/or the product testing data, wherein the product testing comprises respective amounts of workability testings performed respectively for different features of the product, and wherein the score is based on how well the respective amounts of the workability testings performed respectively for the different features of the product correspond with the actual usage associated with the features of the product; and
wherein the processing unit comprises a metric generator configured to generate metrics respectively for the different features of the product, the metrics related to the respective amounts of workability testings performed respectively for the different features of the product, and wherein the processing unit is configured to compute the score based on the metrics relating to the respective amounts of workability testings performed respectively for the different features of the product.