System and method of a requirement, compliance and resource management

• US 10,268,974 B2
• Filed: 11/20/2017
• Issued: 04/23/2019
• Est. Priority Date: 09/28/2012
• Status: Active Grant

• Current Assignee: 10X Compliance Technologies LLC
• Original Assignee: Angel Martinez, Rex Wiig
• Inventors: Wiig, Rex, Martinez, Angel
• Primary Examiner(s): Li, Guang W
• Application Number:
  US15/732,485
• Publication Number:
  US 20180114169A1
• Time in Patent Office: 519 Days
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: G06N 3/043 based on fuzzy logic, fuzzy membership or fuzzy inference, e.g. adaptive neuro-fuzzy inference systems [ANFIS]
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management
• CPC Class Codes: H04L 51/02 using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

A system and/or a method based on a scalable requirement, compliance and resource management methodology for designing a product/service, optimizing relevant processes and enhancing real time and/or near real time collaboration between many users is disclosed. Utilizing, a learning (self-learning) computer, a requirement, compliance and resource management methodology is further integrated with (a) a machine learning/fuzzy/neuro-fuzzy logic algorithm and/or (b) statistical algorithm and/or (c) weighting logic algorithm and/or (d) game theory algorithm and/or (e) a blockchain and enhanced with a graphical user interface/chatbot interface.

Claims

1. A method of requirement, compliance and resource management algorithm utilizes:

a learning computer system, wherein the learning computer system comprises;

a premise computer system, a mobile computer system and a cloud computer system,

wherein the learning computer system further comprises;

one or more chatbot interfaces or one or more hardware processors or system on chips based on neural networks in communication with a non-transitory computer readable medium, wherein the one or more chatbot interfaces are coupled with the one or more hardware processors or the system on chips based on neural networks,

wherein the non-transitory computer readable medium stores one or more software modules, including instructions for the method of requirement, compliance and resource management algorithm and one or more machine learning algorithms, that are executable by the one or more hardware processors or system on chips based on neural networks,

wherein the method of requirement, compliance and resource management algorithm comprises;

steps (a), (b), (c), (d), (e), (g), (h), (i), (j), (k) and (I), at least in an ordered manner or an ordered sequence,

(a) a requirement input collection algorithm or a set of step-by-step instructions for collecting a requirement or a requirement input data from a data source or an inputting device;

(b) a compliance requirement input collection algorithm or a set of step-by-step instructions for collecting compliance or a compliance input data from a data source or an inputting device;

(c) a requirement analysis algorithm or a set of step-by-step instructions for analyzing the requirement, the requirement input data, the compliance or the compliance input data;

(d) a specification generation algorithm or a set of step-by-step instructions for generating a specification of the requirement based on the analysis of the requirement, the requirement input data, the compliance or the compliance input data;

(e) a resource allocation algorithm or a set of step-by-step instructions for allocating a resource, wherein the resource consisting of;

a hardware resource, a software resource, a human resource and a financial resource;

(f) a verification algorithm or a set of step-by-step instructions for verifying the requirement, the requirement input data, the compliance or the compliance input data;

(g) a fuzzy logic algorithm or a set of step-by-step instructions for accounting for inexactness of the requirement input data or inexactness of interpretation of the requirement input data;

(h) a statistical analysis algorithm or a set of step-by-step instructions for accounting for variability of the requirement input data or variability of interpretation of the requirement input data;

(i) a game theory based algorithm or a set of step-by-step instructions for accounting for conflict in the requirement input data or compliance input data;

(j) interfacing at least to search for a keyword, utilizing a graphical user interface;

(k) searching for the keyword, utilizing the graphical user interface; and

(l) a traceability generation algorithm or a set of step-by-step instructions for tracing the requirement input data or the requirement output data,

wherein the method of requirement, compliance and resource management algorithm is further interfacing with a software program or an algorithm for analysis of a large set of data or a blockchain, utilizing an application programming interface.

2. The method of requirement, compliance and resource management algorithm in claim 1, is further coupled with a set of instructions for collecting the requirement or the requirement input data in a question and answer format.

3. The method of requirement, compliance and resource management algorithm in claim 1, further comprising:

a set of weighting logic instructions for estimating importance of the requirement input data.

4. The method of requirement, compliance and resource management algorithm in claim 1, further comprising:

a neuro-fuzzy logic algorithm or a set of step-by-step instructions to account for inexactness of an output data of the requirement.

5. The method of requirement, compliance and resource management algorithm in claim 1, further comprising:

a neuro-fuzzy logic algorithm or a set of step-by-step instructions to account for inexactness of interpretation of an output data of the requirement.

6. The method of requirement, compliance and resource management algorithm in claim 1, further comprising:

a Monte Carlo method based algorithm or a set of step-by-step instructions.

7. The method of requirement, compliance and resource management algorithm in claim 1, further comprising:

a set of constraint analysis instructions for an assessment of constraints of the requirement.

8. The method of requirement, compliance and resource management algorithm in claim 1, is further coupled with a set of instructions for identifying a risk, when the requirement changes.

9. The method of requirement, compliance and resource management algorithm in claim 1, is further coupled with a set of instructions for collaboration between users.

10. A method of requirement, compliance and resource management algorithm utilizes:

a learning computer system, wherein the learning computer system comprises;

a premise computer system, a mobile computer system and a cloud computer system,

wherein the learning computer system further comprises;

one or more chatbot interfaces or one or more hardware processors or system on chips based on neural networks in communication with a non-transitory computer readable medium, wherein the one or more chatbot interfaces are coupled with the one or more hardware processors or the system on chips based on neural networks,

wherein the non-transitory computer readable medium stores one or more software modules, including instructions for the method of requirement, compliance and resource management algorithm and one or more machine learning algorithms, that are executable by the one or more hardware processors or system on chips based on neural networks,

wherein the method of requirement, compliance and resource management algorithm comprises;

steps, (a), (b), (c), (d), (e), (f), (g), (h), (i), (j) and (k), at least at least in an ordered manner or an ordered sequence,

(a) a requirement input collection algorithm or a set of step-by-step instructions for collecting a requirement or a requirement input data from a data source or an inputting device;

(b) a requirement analysis algorithm or a set of step-by-step instructions for analyzing the requirement or the requirement input data;

(c) a specification generation algorithm or a set of step-by-step instructions for generating a specification of the requirement based on the analysis of the requirement or the requirement input data;

(d) a resource allocation algorithm or a set of step-by-step instructions for allocating a resource, wherein the resource consisting of;

a hardware resource, a software resource, a human resource and a financial resource;

(e) a verification algorithm or a set of step-by-step instructions for verifying the requirement or the requirement input data;

(f) a fuzzy logic algorithm or a set of step-by-step instructions for accounting for inexactness of the requirement input data or inexactness of interpretation of the requirement input data;

(g) a statistical analysis algorithm or a set of step-by-step instructions for accounting for variability of the requirement input data or variability of interpretation of the requirement input data;

(h) a game theory based algorithm or a set of step-by-step instructions for accounting for conflict in the requirement input data or compliance input data;

(i) interfacing at least to search for a keyword, utilizing a graphical user interface;

(j) searching for the keyword, utilizing the graphical user interface; and

(k) a traceability generation algorithm or a set of step-by-step instructions for tracing the requirement input data or the requirement output data,

wherein the method of requirement, compliance and resource management algorithm is further interfacing with a software program or an algorithm for analysis of a large set of data or a blockchain, utilizing an application programming interface.

11. The method of requirement, compliance and resource management algorithm in claim 10, is further coupled with a set of instructions for collecting the requirement or the requirement input in a question and answer format.

12. The method of requirement, compliance and resource management algorithm in claim 10, further comprising:

a set of weighting logic instructions for estimating importance of the requirement input data.

13. The method of requirement, compliance and resource management algorithm in claim 10, further comprising:

a neuro-fuzzy logic algorithm or a set of step-by-step instructions to account for inexactness of an output data of the requirement.

14. The method of requirement, compliance and resource management algorithm in claim 10, further comprising:

a neuro-fuzzy logic algorithm or a set of step-by-step instructions to account for inexactness of interpretation of an output data of the requirement.

15. The method of requirement, compliance and resource management algorithm in claim 10, further comprising:

a Monte Carlo method based algorithm or a set of step-by-step instructions.

16. The method of requirement, compliance and resource management algorithm in claim 10, further comprising:

a set of constraint analysis instructions for an assessment of constraints of the requirement.

17. The method of requirement, compliance and resource management algorithm in claim 10, is further coupled with a set of instructions for identifying a risk, when the requirement changes.

18. The method of requirement, compliance and resource management algorithm in claim 10, is further coupled with a set of instructions for collaboration between users.

19. A method of requirement, compliance and resource management algorithm utilizes:

a learning computer system, wherein the learning computer system comprises;

a premise computer system, a mobile computer system and a cloud computer system,

wherein the learning computer system further comprises;

one or more chatbot interfaces or one or more hardware processors or system on chips based on neural networks in communication with a non-transitory computer readable medium, wherein the one or more chatbot interfaces are coupled with the one or more hardware processors or the system on chips based on neural networks,

wherein the non-transitory computer readable medium stores one or more software modules, including instructions for the method of requirement, compliance and resource management algorithm and one or more machine learning algorithms, that are executable by the one or more hardware processors or system on chips based on neural networks,

wherein the method of requirement, compliance and resource management algorithm comprises;

steps, (a), (b), (c), (d), (e), (f), (g), (h), (i), (j) and (k), at least in an ordered manner or an ordered sequence,

(a) a requirement input collection algorithm or a set of step-by-step instructions for collecting a requirement or a requirement input data from a data source or an inputting device;

(b) a requirement analysis algorithm or a set of step-by-step instructions for analyzing the requirement or the requirement input data;

(c) a specification generation algorithm or a set of step-by-step instructions for generating a requirement of the specification based on the analysis of the requirement or the requirement input data;

(d) a resource allocation algorithm or a set of step-by-step instructions for allocating a resource, wherein the resource consisting of;

a hardware resource, a software resource, a human resource and a financial resource;

(e) a verification algorithm or a set of step-by-step instructions for verifying the requirement or the requirement input data;

(f) a neuro-fuzzy logic algorithm or a set of step-by-step instructions for accounting for inexactness of the requirement input data or inexactness of interpretation of the requirement input data;

(g) a statistical analysis algorithm or a set of step-by-step instructions for accounting for variability of the requirement input data or variability of interpretation of the requirement input data;

(h) a game theory based algorithm or a set of step-by-step instructions for accounting for conflict in the requirement input data or compliance input data;

(i) interfacing at least to search for a keyword, utilizing a graphical user interface;

(j) searching for the keyword, utilizing the graphical user interface; and

(k) a traceability generation algorithm or a set of step-by-step instructions for tracing the requirement input data or the requirement output data,

wherein the method of requirement, compliance and resource management algorithm is further interfacing with a software program or an algorithm for analysis of a large set of data or a blockchain, utilizing an application programming interface.

20. The method of requirement, compliance and resource management algorithm in claim 19, is further coupled with a set of instructions for collecting the requirement or the requirement input in a question and answer format.

21. The method of requirement, compliance and resource management algorithm in claim 19, further comprising:

a set of weighting logic instructions for estimating importance of the requirement input data.

22. The method of requirement, compliance and resource management algorithm in claim 19, further comprising:

a Monte Carlo method based algorithm or a set of step-by-step instructions.

23. The method of requirement, compliance and resource management algorithm in claim 19, further comprising:

a set of constraint analysis instructions for an assessment of constraints of the requirement.

24. The method of requirement, compliance and resource management algorithm in claim 19, is further coupled with a set of instructions for identifying a risk, when the requirement changes.

25. The method of requirement, compliance and resource management algorithm in claim 19, is further coupled with a set of instructions for collaboration between users.