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 3):
The system of  claim 1 , wherein the regression identification engine automatically identifies the regression by:\n identifying a defect of the application under test, the defect occurring during a first test execution of the test executions; identifying, based on the correlated data, a second test execution of the test executions, the second test execution having a similar test identification to a test identification of the first test execution; and determining the regression by comparing, based on the correlated data, the first test execution with the second test execution, the first test execution including a first set of test steps and a first set of application behavior, and the second test execution including a second set of test steps and a second set of application behavior.

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): 0.4068336087723695
- 35 USC 102 Novelty (BERT): 0.5126050837719139
- Combined Prediction Score: 0.417410756272324
- Mean Citation Score: 203.271264
- Max Citation Score: 237.96361
- Similarity Product: 163.89332991212487

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test