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 16):
The computer system of  claim 15 , wherein the instructions for predicting the software build outcome cause the processor to:\n in response to determination that the first probability data is greater than the second probability data, predict the software build outcome to be unsuccessful; and in response to determination that the second probability data is greater than the first probability data, predict the software build outcome to be successful.

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): 0.3737568771491757
- 35 USC 102 Novelty (BERT): 0.4897371600777677
- Combined Prediction Score: 0.3853549054420349
- Mean Citation Score: 132.161096
- Max Citation Score: 154.41745
- Similarity Product: 108.20943526823224

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