PATENT CLAIM ANALYSIS

Application Number: 16063991
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["717", "124000"]

Abstract:
The present invention relates to a computer module testability problem detection method defined: on the one hand, by first code instructions in a modeling language representing blocks, divided up into one or more components, and relationships between the blocks and/or the components, and on the other hand, by second code instructions in a textual language representing a list of specifications that are each associated with a capability and define at least one information flow at the capability. The method is characterized in that it includes implementing, by means of a data processing means ( 11 ) of a device ( 1 ), steps for: (a) expressing the first and second code instructions, each code being in the form of a model instantiating a common meta-model that correlates them with each other, (b) synchronizing the related models into a consolidated model, (c) expressing a graph on the basis of said consolidated model, (d) calculating, by means of a graph traversal algorithm, the width and/or depth of the graph, and (e) sending a signal indicating a computer module testability problem if at least one of said calculated width and depth is greater than a predefined threshold.

Claim (Index 10):
The method as claimed in  claim 9 , comprising a subsequent step (f) of instantiation in a system of code instructions generated in a procedural programming language.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 2.11429
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14896078', '12858562', '12628590', '15189494', '09790247']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3517056280447285
- 35 USC 102 Novelty (BERT): 0.4793938858402004
- Combined Prediction Score: 0.3644744538242757
- Mean Citation Score: 135.898346
- Max Citation Score: 146.71312
- Similarity Product: 107.68390991991043

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

Dataset: test