PATENT CLAIM ANALYSIS

Application Number: 16017407
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["717", "131000"]

Abstract:
An interrelated set of tools and methods are disclosed for recording the identity of software components responsible for creating files, recording the identity of software components that access software files, reasoning about the dependency relationships between software components, identifying and reporting undesirable dependencies between them, and reporting other useful information about a large-scale software architecture by instrumenting a software build process or test process.

Claim (Index 23):
A computer-implemented method for auditing a computer program, the method comprising the steps, performed by a computer system, of:\n (a) executing the computer program and an audit program on the computer system; (b) using the audit program to detect and log access to resources by the computer program and the child processes and threads that the computer program recursively spawns during its operation; (c) using the audit program to track and log the state of child processes and threads used to resolve the fully qualified paths of all resources being accessed; (d) using the audit program to distinguish between and log read-only, read-write, create modes of resource access; (e) using the audit program to distinguish between and log transitory resources and outputs; (f) using the audit program to keep track of and log resources that were removed; and (g) using the audit program to keep track of and record information of renaming of files and directories.

Metadata:
- Claim Count in Document: 86.0
- Percentile: 94.0
- Lexical Diversity: 1.56818
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14741096', '15912637', '14804532', '13723193', '12335327']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3708681282301089
- 35 USC 102 Novelty (BERT): 0.5506579619351668
- Combined Prediction Score: 0.3888471116006147
- Mean Citation Score: 190.951552
- Max Citation Score: 377.91382
- Similarity Product: 305.6076755286169

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