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 19):
The computer-program product of  claim 17 , wherein:\n multiple versions of at least one task routine of the multiple task routines are stored within the at least one federated area; use of the flow task identifiers of the first job flow definition to retrieve the multiple task routines comprises retrieving the multiple versions of each task routine of the at least one task routine; and the processor is caused to perform operations comprising, for each task routine of the at least one task routine:\n parse the comments of each version of the multiple versions to identify and retrieve the specification of the I/O parameters from the comments of each version of the multiple versions; \n compare the specification of I/O parameters retrieved from the comments of each version of the multiple versions; and \n in response to a determination that a difference exists among the multiple versions, generate the visualization to indicate the difference.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 88.0
- Lexical Diversity: 2.77586
- Patent Class: 718.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15897675', '15897707', '15851869', '15613516', '15425886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4771870311988997
- 35 USC 102 Novelty (BERT): 0.5616147147157583
- Combined Prediction Score: 0.4856297995505856
- Mean Citation Score: 365.206322
- Max Citation Score: 373.45416
- Similarity Product: 276.6366419920349

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