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 17):
A system ( 100 ) for managing a program in an agile delivery environment, the system comprises:\n an input module ( 102 ) configured to provide:\n a set of visions corresponding to the program, \n a list of a plurality of teams participating in the release of the program, wherein each of the plurality of teams has a team velocity, and \n a sprint duration to be used during the release of the program; \n a vision board ( 104 ) for displaying the set of visions; a memory ( 106 ); and a processor ( 108 ) in communication with the memory, the processor further configured to perform the steps of:\n deriving a set of goals aligned to the set of visions, wherein each of the set of goals have a key result metric; \n deriving a set of requirements from a plurality of sources to achieve the set of goals, wherein the set of requirements is maintained in a product backlog based on the priority; \n performing profiling of the plurality of teams, the product backlog and the sprint duration using a profiling module ( 112 ); \n performing a set of machine learning methods based on the profiling for generating a set of recommendations for matching the plurality of teams with the set of requirements for optimal release of the program using a machine learning module ( 114 ); \n delivering a minimum viable product corresponding to the program based on the set of recommendations at the end of every sprint using an MVP delivering module ( 118 ); and \n managing the release of the program through an automated deployment pipeline by defining the various stages that the program would go through in a single click start using a product build release management module ( 120 ).

Metadata:
- Claim Count in Document: 23.0
- Percentile: 90.0
- Lexical Diversity: 1.85
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14489112', '15249893', '12971310', '15180730', '14728674']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4176692813994563
- 35 USC 102 Novelty (BERT): 0.5263602843003531
- Combined Prediction Score: 0.428538381689546
- Mean Citation Score: 226.600408
- Max Citation Score: 256.80325
- Similarity Product: 150.4251016573906

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