PATENT CLAIM ANALYSIS

Application Number: 15890385
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-05
Patent Classification: ["717", "101000"]

Abstract:
Methods are provided for software build outcome prediction. For example, one method may comprise obtaining feature data associated with a software build, the feature data including one or more of the following: first data identifying a user to perform a modification on a set of one or more software artifacts, second data identifying the set of one or more software artifacts, and third data identifying a set of one or more reviewers to review the modification. The method may also comprise determining first probability data associated with the software build being unsuccessful given the feature data and second probability data associated with the software build being successful given the feature data; and predicting a software build outcome associated with the software build based on the first probability data and the second probability data.

Claim (Index 13):
The non-transitory computer-readable storage medium of  claim 12 , wherein the method further comprises:\n based on the first conditional probability data and the second conditional probability data, performing risk assessment by assigning one or more of the following: a first risk class to the user, a second risk class to the set of one or more software artifacts and a third risk class to the set of one or more reviewers.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 88.0
- Lexical Diversity: 2.62963
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13589180', '14188005', '15362343', '14308450', '14450164']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3682013873617608
- 35 USC 102 Novelty (BERT): 0.512075191013094
- Combined Prediction Score: 0.3825887677268941
- Mean Citation Score: 132.161096
- Max Citation Score: 154.41745
- Similarity Product: 87.79192283494473

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

Dataset: test