PATENT CLAIM ANALYSIS

Application Number: 15938553
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-08
Patent Classification: ["717", "102000"]

Abstract:
In an agile delivery program, hundreds of team members are organised into multiple agile teams work in a synchronized manner, to build a product. Normally, they are geographically distributed teams need to have the infrastructure and tools, to manage their agile delivery seamlessly. In addition to team, a product backlog, and sprint duration also need to be managed the simultaneously. A system and method for managing a program in an agile delivery environment using a single integrated platform has been described. The method involves providing a set of visions to each of the members working in the program. The set of goals, the teams and sprint duration are then provided. The profiling and machine learning techniques are then performed on these parameters to generate an optimal release plan for the release of the product.

Claim (Index 5):
The method of  claim 1 , wherein step of generating the set of recommendations using the set of machine learning methods further comprising:\n comparing the planned story points with the total number of story points and performing at least one of the following steps based on the comparison ( 310 ),\n adding one or more requirements to the first set of requirements in the release backlog if the planned story points are less than the total number of story points ( 312 ), and \n modifying at least one of the following to enable the optimal release of the program in the agile delivery environment if the planned story points are more than the total number of story points ( 314 ):\n reducing one or more requirements of the first set of requirements from the release backlog ( 316 ), \n adding one or more teams to the list of teams who would participate in the release ( 318 ), or \n adding one or more sprints to the number of sprints required for the release if an end date of the program is not fixed ( 320 ).

Metadata:
- Claim Count in Document: 23.0
- Percentile: 90.0
- Lexical Diversity: 1.85
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14489112', '15249893', '12971310', '15180730', '14728674']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3890755389432965
- 35 USC 102 Novelty (BERT): 0.5240312312835836
- Combined Prediction Score: 0.4025711081773253
- Mean Citation Score: 226.600408
- Max Citation Score: 256.80325
- Similarity Product: 150.53163605618474

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

Dataset: test