PATENT CLAIM ANALYSIS

Application Number: 15882490
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-08
Patent Classification: ["717", "124000"]

Abstract:
Software applications are tested in different contexts, such as on different devices and under different conditions. During initial testing of an application, conditions of contexts are selected randomly, and the application is tested in each resulting context. After obtaining results from a sufficient number of contexts, the results are analyzed to create a predictive model indicating, for any postulated context, whether testing of the application is most likely to fail or to otherwise produce negative test results. The model is then analyzed to identify contexts that are most likely to produce negative results or failures, and those contexts are emphasized in subsequent application testing.

Claim (Index 14):
A method comprising:\n producing multiple test results, wherein producing a test result comprises:\n randomly selecting, as one or more randomly selected test contexts, one or more test contexts; \n performing a test of an application under each of the one or more randomly selected test contexts; and \n recording which of the one or more randomly selected test contexts the test was performed under, performance parameters associated with the application, and whether the application passed the test, for each of the multiple test results; \n utilizing the multiple test results to predict postulated contexts other than the tested contexts that are likely to cause the test to produce negative results; and performing further testing with one or more of the postulated contexts.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 86.0
- Lexical Diversity: 1.85484
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11860515', '14683499', '14448435', '14245587', '12034181']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2926255914634259
- 35 USC 102 Novelty (BERT): 0.5016803592694983
- Combined Prediction Score: 0.3135310682440332
- Mean Citation Score: 98.9502608
- Max Citation Score: 105.83582
- Similarity Product: 63.88534235453367

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

Dataset: test