PATENT CLAIM ANALYSIS

Application Number: 15942022
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["717", "125000"]

Abstract:
A computer-implemented method for debugging an executable control flow graph that specifies control flow among a plurality of functional modules, with the control flow being represented as transitions among the plurality of functional modules, the computer-implemented method including: specifying a position in the executable control flow graph at which execution of the executable control flow graph is to be interrupted; wherein the specified position represents a transition to a given functional module, a transition to a state in which contents of the given functional module are executed or a transition from the given functional module; starting execution of the executable control flow graph in an execution environment; and at a point of execution representing the specified position, interrupting execution of the executable control flow graph; and providing data representing one or more attributes of the execution environment in which the given functional module is being executed.

Claim (Index 15):
The computer-implemented method of  claim 1 , further including:\n configuring the executable control flow graph to interrupt execution of the executable control flow graph on failure of any functional module.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.51613
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15873095', '09915509', '14884436', '13076245', '14691602']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3847857289288816
- 35 USC 102 Novelty (BERT): 0.5034815012868373
- Combined Prediction Score: 0.3966553061646772
- Mean Citation Score: 164.352786
- Max Citation Score: 206.94153
- Similarity Product: 144.6495270506376

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