PATENT CLAIM ANALYSIS

Application Number: 15997345
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["717", "101000"]

Abstract:
A method, computer program product, and computer system for receiving, at a computing device, a plurality of development requirements of a software development project. A plurality of possible results for one or more development factors estimated to complete the software development project may be generated based upon, at least in part, the plurality of development requirements for the software development project. A plurality of results for the one or more development factors estimated to complete the software development project may be generated and may include processing a different set of random values from the plurality of possible results for the one or more development factors estimated to complete the software development project during each iteration of a plurality of iterations of one or more probabilistic models. The plurality of results for the one or more development factors may be provided in a user interface.

Claim (Index 16):
The computing system of  claim 16 , wherein the operations further comprise:\n defining one or more of a lower control limit and an upper control limit based upon, at least in part, historical software development project data.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 94.0
- Lexical Diversity: 2.75
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13897398', '13153431', '13897337', '15271465', '15921896']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3582736696736803
- 35 USC 102 Novelty (BERT): 0.5049882946545677
- Combined Prediction Score: 0.372945132171769
- Mean Citation Score: 179.49017600000005
- Max Citation Score: 181.05986
- Similarity Product: 124.57206937677384

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