PATENT CLAIM ANALYSIS

Application Number: 15897723
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["718", "104000"]

Abstract:
An apparatus including a processor to: parse comments of multiple task routines to identify I/O parameters; generate a visualization of a DAG to include a visual representation of each task routine, wherein each representation includes a task graph object of the task routine, at least one input data graph object that represents an input to the task routine and that includes a visual indication of at least one characteristic of the input; and at least one output data graph object that represents an output of the task routine and that includes a visual indication of at least one characteristic of the output; in the I/O parameters, identify each dependency between an output of one task routine and an input of another; for each identified dependency, augment the visualization with a dependency marker that visually links the visual representations of each associated pair of task routines; and visually output the visualization.

Claim (Index 16):
The computer-program product of  claim 11 , wherein:\n identification of a dependency between an output and an input of a pair of task routines comprises identification of an instance in which a data object is specified for both the output and the input; and the processor is caused to, for each dependency identified between an output and an input of a pair of task routines, visually present an identifier of the data object specified for both the output and the input at one of the output data graph object that corresponds to the output and the input data graph object that corresponds to the input.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 88.0
- Lexical Diversity: 2.77586
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15897675', '15897707', '15851869', '15613516', '15425886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5066073258819267
- 35 USC 102 Novelty (BERT): 0.5639091688002366
- Combined Prediction Score: 0.5123375101737577
- Mean Citation Score: 365.206322
- Max Citation Score: 373.45416
- Similarity Product: 287.02664537474163

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

Dataset: test