PATENT CLAIM ANALYSIS

Application Number: 15898248
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["718", "104000"]

Abstract:
An apparatus including a processor to: parse comments of multiple task routines to identify I/O parameters; for each task routine, generate a macro including its I/O parameters; transmit the macros to a requesting device to enable it to generate a visualization of a DAG to include visual representations of the task routines; wherein each representation includes a task graph object, an input data graph object representing an input and indicating a characteristic of the input, and an output data graph object representing an output and indicating a characteristic of the output; and wherein the requesting device is to: identify, in the I/O parameters, each dependency between an output and an input of a pair of task routines; augment the visualization, for each identified dependency, with a dependency marker that visually links the visual representations of the pair of task routines; and visually output the visualization.

Claim (Index 6):
The apparatus of  claim 4 , wherein:\n the instance log comprises a job flow identifier of a first job flow definition that comprises a flow task identifier of multiple flow task identifiers for each task of the multiple tasks; and the processor is caused to:\n use the job flow identifier to retrieve the first job flow definition from among the plurality of job flow definitions; \n use the multiple flow task identifiers of the first job flow definition to retrieve at least a most recent version of each task routines of the multiple task routines from among the plurality of task routines; and \n for each task routine of the multiple task routines in which the task routine is not the most recent version, augment the corresponding macro with an indication of the most recent version to enable the requesting device to indicate that the task routine visually presented in the visualization is not the most recent version.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 88.0
- Lexical Diversity: 2.59677
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15897723', '15897675', '15851869', '15897707', '15425886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4988793483611526
- 35 USC 102 Novelty (BERT): 0.6218351140741942
- Combined Prediction Score: 0.5111749249324569
- Mean Citation Score: 414.67225
- Max Citation Score: 592.27704
- Similarity Product: 417.18508639025686

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