PATENT CLAIM ANALYSIS

Application Number: 15758284
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["717", "124000"]

Abstract:
Example implementations relate to automatically identifying regressions. Some implementations may include a data capture engine to capture data points during test executions of the application under test. The data points may include, for example, test action data and application action data. Additionally, some implementations may include a data correlation engine to correlate each of the data points with a particular test execution of the test executions, and each of the data points may be correlated based on a sequence of events that occurred during the particular test execution. Furthermore, some implementations may also include a regression identification engine to automatically identify, based on the correlated data points, a regression between a first version of the application under test and a second version of the application under test.

Claim (Index 9):
The system of  claim 8 , wherein the regression engine automatically identifies the regression by:\n receiving an indication of a defect of the first version of the application under test, the defect occurring during a first test execution of the test executions, the first test execution being associated with a first set of backbone nodes of the backbone nodes of the directed acyclic graph; querying the directed acyclic graph to identify a second set of backbone nodes that are similar to the first set, the second set of backbone nodes being associated with a second test execution of the second version of the application under test; comparing data nodes, metadata, and tags corresponding to the first test execution to data nodes, metadata, and tags corresponding to the second test execution; and automatically identifying the regression by determining, based on the comparison, that (1) the defect occurred during the first test execution and did not occur during the second test execution; and (2) there was no difference in behavior of the application under test during the first test execution and the second test execution.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 90.0
- Lexical Diversity: 2.57407
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15749639', '15568099', '15508710', '15540086', '16068782']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4067586614837298
- 35 USC 102 Novelty (BERT): 0.512942292990656
- Combined Prediction Score: 0.4173770246344224
- Mean Citation Score: 203.271264
- Max Citation Score: 237.96361
- Similarity Product: 163.12177720080672

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test