PATENT CLAIM ANALYSIS

Application Number: 15916660
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["717", "104000"]

Abstract:
Automated requirements-based test case generation method includes constructing a software architecture model derived from software design model architectural information, allocating requirement models into blocks/operators of the software architecture model, and generating component-level requirements-based test cases from the software architecture configured to be executable at different levels in the software architecture. The component-level requirements-based test case generation method includes receiving a software architecture along with allocated requirement models represented in hierarchical data flow diagram, selecting one of the software components, building an intermediate test model based on the selected component by automatically attaching at least one of test objectives or constraints to the corresponding software architecture model blocks/operators based on the selected test strategy, and generating human and machine readable test cases with the test generator for further automatic conversion to test executable and test review artifacts. A system and a non-transitory computer-readable medium for implementing the method are also disclosed.

Claim (Index 6):
The method of  claim 1 , including generating the test cases according to at least one strategy selected from the list of a requirements coverage strategy, a logic condition coverage strategy, an input masking strategy, a data completeness analysis strategy, an event strategy, a list strategy, a decomposition and equation strategy, an equivalence class strategy, a boundary value analysis strategy, a robustness strategy, and a timing strategy.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.83721
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14947633', '15013391', '13595148', '12558375', '14819167']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3976736870517669
- 35 USC 102 Novelty (BERT): 0.5445486566795289
- Combined Prediction Score: 0.4123611840145431
- Mean Citation Score: 221.223416
- Max Citation Score: 360.99756
- Similarity Product: 264.7882688960838

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

Dataset: test