Setting software error severity ranking

US10360129B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10360129-B2
Application numberUS-201514930974-A
CountryUS
Kind codeB2
Filing dateNov 3, 2015
Priority dateNov 3, 2015
Publication dateJul 23, 2019
Grant dateJul 23, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Embodiments of the present invention provide systems, methods, and program products for automatic ranking of a technical software defect of a software service. Embodiments of the present invention can be used to collect technical environment parameters of a software service responsive to receiving a message associated with a technical software defect of the software service and determine a severity ranking value of the technical software defect based on a combined rating of the collected technical environment parameters wherein the technical environment parameters comprise at least a usage rate of the software service; a percentage of a number of users of the software-as-a-service environment authorized for using the software program; a log pattern of a signature of the technical software defect; and a percentage of a total functionality number of the software program, wherein the percentage defines a defect impact value.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer-implemented method comprising: responsive to receiving a message associated with a technical software defect of a software service, wherein the software service is executed on a server in a software-as-a-service environment, collecting technical environment parameters of the software service by a severity scanner module; determining a severity ranking value of the technical software defect based on a combined rating of the collected technical environment parameters, wherein: the determined severity ranking value reflects whether one or a plurality of users are affected by the technical software defect and is applied to improve the efficiency of the software-as-a-service environment; and the technical environment parameters comprise: a usage rate of the software service; a percentage of a number of users of the software-as-a-service environment authorized for using a software program; a log pattern of a signature of the technical software defect; and a percentage of a total functionality number of the software program, wherein the percentage defines a defect impact value; and automatically ranking the technical software defect based on the determined severity ranking value. 2. The method of claim 1 , wherein the technical environment parameters are selected from the group consisting of: a version number of the software service, a release number of the software service, a version number of the software program, an operating system, and a middleware system. 3. The method of claim 1 , wherein the log pattern of the signature is received by the severity scanner module from a systems management tool adapted for administering the software-as-a-service environment. 4. The method of claim 1 , wherein the technical environment parameters further comprise data pertaining to how many different groups of users access the software program. 5. The method of claim 1 , further comprising comparing a signature of the technical software defect within one set of user specific log data with one or more signatures of technical software defects within other sets of user specific log data. 6. The method of claim 5 , further comprising: determining an average likelihood of one set of user specific data to face the technical software defect. 7. The method of claim 6 , further comprising: determining an average likelihood of groups of users to face the technical software defect. 8. The method of claim 1 , wherein the software service is available from different operating system environments. 9. A computer program product comprising: one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising: program instructions to, responsive to receiving a message associated with a technical software defect of a software service, wherein the software service is executed on a server in a software-as-a-service environment, collect technical environment parameters of the software service by a severity scanner module; program instructions to determine a severity ranking value of the technical software defect based on a combined rating of the collected technical environment parameters, wherein: the severity ranking value reflects whether one or a plurality of users are affected by the technical software defect and is applied to improve the efficiency of the software-as-a-service environment; and the technical environment parameters comprise: a usage rate of the software service; a percentage of a number of users of the software-as-a-service environment authorized for using a software program; a log pattern of a signature of the technical software defect; and a percentage of a total functionality number of the software program, wherein the percentage defines a defect impact value; and program instructions to automatically rank the technical software defect based on the determined severity ranking value. 10. The computer program product of claim 9 , wherein the technical environment parameters are selected from the group consisting of: a version number of the software service, a release number of the software service, a version number of the software program, an operating system, and a middleware system. 11. The computer program product of claim 9 , wherein the log pattern of the signature is received by the severity scanner module from a systems management tool adapted for administering the software-as-a-service environment. 12. The computer program product of claim 9 , wherein the technical environment parameters also comprise data about how many different groups of users access the software program. 13. The computer program product of claim 9 , wherein the program instructions stored on the one or more computer readable storage media further comprise: program instructions to compare a signature of the technical software defect within one set of user specific log data with one or more signatures of technical software defects within other sets of user specific log data. 14. The computer program product of claim 13 , wherein the program instructions stored on the one or more computer readable storage media further comprise: program instructions to determine an average likelihood of one set of user specific data to face the technical software defect. 15. A computer system comprising: one or more computer processors; one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising: program instructions to, responsive to receiving a message associated with a technical software defect of a software service, wherein the software service is executed on a server in a software-as-a-service environment, collect technical environment parameters of the software service by a severity scanner module; program instructions to determine a severity ranking value of the technical software defect based on a combined rating of the collected technical environment parameters, wherein: the severity ranking value reflects whether one or a plurality of users are affected by the technical software defect and is applied to improve the efficiency of the software-as-a-service environment; and the technical environment parameters comprise: a usage rate of the software service; a percentage of a number of users of the software-as-a-service environment authorized for using a software program; a log pattern of a signature of the technical software defect; and a percentage of a total functionality number of the software program, wherein the percentage defines a defect impact value; and program instructions to automatically rank the technical software defect based on the determined severity ranking value. 16. The computer system of claim 15 , wherein the technical environment parameters are selected from the group consisting of: a version number of the software service, a release number of the software service, a version number of the software program, an operating system, and a middleware system. 17. The computer system of claim 15 , wherein the log pattern of the signature is received by the severity scanner module from a systems management tool adapted for administering the software-as-a-service environment. 18. The computer system of claim 15 , wherein the technical environment parameters also comprise data about how many different groups of users access the software program.

Assignees

Inventors

Classifications

  • using ranking · CPC title

  • for systems · CPC title

  • where the computing system component is a software system · CPC title

  • in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems · CPC title

  • Error filtering or prioritizing based on a policy defined by the user or on a policy defined by a hardware/software module, e.g. according to a severity level · CPC title

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What does patent US10360129B2 cover?
Embodiments of the present invention provide systems, methods, and program products for automatic ranking of a technical software defect of a software service. Embodiments of the present invention can be used to collect technical environment parameters of a software service responsive to receiving a message associated with a technical software defect of the software service and determine a seve…
Who is the assignee on this patent?
IBM
What technology area does this patent fall under?
Primary CPC classification G06F11/3495. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 23 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).