Generating and publishing a problem ticket

1. A computer-implemented method comprising:

generating, by a processor of a problem-tracking system, a problem ticket, wherein the problem ticket describes a problem encountered by a first user, and the problem ticket is assigned to at least one qualified user to resolve;

extracting, by the processor and using an application program interface (API), entity names from information included with the problem ticket;

assigning an image from a previous problem ticket to the problem ticket, wherein the image from the previous problem ticket is determined to be similar to an image submitted with the problem ticket;

assigning a tag, category, or keyword applicable to the problem based in part on the entity names and machine learning-based analysis of the image from the previous problem ticket;

receiving additional information relating to the problem from at least one second user;

storing the received additional information in association with the problem ticket, wherein the receiving and the storing of the additional information occurs while the problem ticket is awaiting to be resolved by the at least one qualified user; and

providing the stored received additional information, the tag, category, or keyword, and the problem ticket to the at least one qualified user.

2. The computer-implemented method of claim 1 , wherein the problem corresponds to a software development problem.

3. The computer-implemented method of claim 2 , wherein receiving additional information comprises receiving imagery or textual information, and the imagery or textual information is received from a mobile device of the at least one second user.

4. The computer-implemented method of claim 3 , further comprising publishing the problem ticket to a platform based on the determined tag, category, or keyword, wherein the platform that is accessible by the at least one second user.

5. The computer-implemented method of claim 4 , wherein the tag, category, or keyword is determined by a convolutional neural network of the problem-tracking system.

6. The computer-implemented method of claim 5 , further comprising extracting an entity name by using an application program interface.

7. A computer system of a problem-tracking system comprising:

a memory; and

a processor system communicatively coupled to the memory;

the processor system configured to perform a method comprising:

generating a problem ticket, wherein the problem ticket describes a problem encountered by a first user, and the problem ticket is assigned to at least one qualified user to resolve;

extracting, by the processor and using an application program interface (API), entity names from information included with the problem ticket;

assigning an image from a previous problem ticket to the problem ticket, wherein the image from the previous problem ticket is determined to be similar to an image submitted with the problem ticket;

assigning a tag, category, or keyword applicable to the problem based in part on the entity names and machine learning-based analysis of the image from the previous problem ticket;

receiving additional information relating to the problem from at least one second user;

storing the received additional information in association with the problem ticket, wherein the receiving and the storing of the additional information occurs while the problem ticket is awaiting to be resolved by the at least one qualified user; and

providing the stored received additional information, the tag, category, or keyword, and the problem ticket to the at least one qualified user.

8. The computer system of claim 7 , wherein the problem corresponds to a software development problem.

9. The computer system of claim 7 , wherein receiving additional information comprises receiving imagery or textual information, and the imagery or textual information is received from a mobile device of the at least one second user.

10. The computer system of claim 9 , wherein the method further comprises publishing the problem ticket to a platform based on the determined tag, category, or keyword, wherein the platform that is accessible by the at least one second user.

11. The computer system of claim 10 , wherein the tag, category, or keyword is determined by a convolutional neural network of the problem-tracking system.

12. The computer system of claim 11 , wherein the method further comprises extracting an entity name by using an application program interface.

13. A computer program product comprising a computer-readable storage medium having program instructions embodied therewith, the program instructions readable by a processor system to cause the processor system to:

generate a problem ticket, wherein the problem ticket describes a problem encountered by a first user, and the problem ticket is assigned to at least one qualified user to resolve;

extract, by the processor and using an application program interface (API), entity names from information included with the problem ticket;

assign an image from a previous problem ticket to the problem ticket, wherein the image from the previous problem ticket is determined to be similar to an image submitted with the problem ticket;

assign a tag, category, or keyword applicable to the problem based in part on the entity names and machine learning-based analysis of the image from the previous problem ticket;

receive additional information relating to the problem from at least one second user;

store the received additional information in association with the problem ticket, wherein receiving and storing of the additional information occurs while the problem ticket is awaiting to be resolved by the at least one qualified user; and

provide the stored received additional information, the tag, category, or keyword, and the problem ticket to the at least one qualified user.

14. The computer program product of claim 13 , wherein the problem corresponds to a software development problem.

15. The computer program product of claim 14 , wherein the receiving additional information comprises receiving imagery or textual information, and the imagery or textual information is received from a mobile device of the at least one second user.

16. The computer program product of claim 15 , wherein the program instructions further cause the processor system to publish the problem ticket to a platform based on the determined tag, category, or keyword, wherein the platform that is accessible by the at least one second user.

17. The computer program product of claim 16 , wherein the tag, category, or keyword is determined by a convolutional neural network of a problem-tracking system.