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 10):
A non-transitory machine-readable storage medium including instructions which, when executed by a processor, cause the processor to:\n receive an indication of a defect of an application under test, the defect occurring during a first test execution of a plurality of test executions, the first test execution being associated with a first test identification; query a correlated data structure to identify an initial set of test executions of the plurality of test executions, the initial set of test executions having a same test identification as the first test identification; narrowing, based on the correlated data structure, the initial set of test executions to generate a narrowed set of test executions, the narrowed set of test executions being test executions that experience similar application behavior in response to the test steps but not including the defect; and automatically identifying each version of the application under test corresponding to the narrowed set of test executions as a regression from a version of the AUT tested during the first 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): 0.4068638001126252
- 35 USC 102 Novelty (BERT): 0.5124692602685708
- Combined Prediction Score: 0.4174243461282198
- Mean Citation Score: 203.271264
- Max Citation Score: 237.96361
- Similarity Product: 164.20406721012952

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