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Patent Analysis of

Continuous Integration of Business Intelligence Software

Updated Time 15 March 2019

Patent Registration Data

Publication Number

US20170039134A1

Application Number

US15/297949

Application Date

19 October 2016

Publication Date

09 February 2017

Current Assignee

MOTIO, INC.

Original Assignee (Applicant)

MOTIO, INC.

International Classification

G06F11/36

Cooperative Classification

G06F11/3688,G06Q10/10,G06F11/3684,Y10S707/944

Inventor

MOORE, JR., J. LYNN,HANKINS, LANCE W.

Patent Images

This patent contains figures and images illustrating the invention and its embodiment.

Continuous Integration of Business Intelligence Software Continuous Integration of Business Intelligence Software Continuous Integration of Business Intelligence Software
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Abstract

Methods for automatically testing a business intelligence artifact in a business intelligence system include authoring a business intelligence artifact; creating an assertion with conditions to verify the proper functioning of the business intelligence artifact; testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact to verify its proper functioning by determining whether the conditions of the assertion are satisfied; and reporting if the conditions of the assertion are not satisfied.

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Claims

1. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising: authoring a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact produces output when the business intelligence artifact is executed in the business intelligence system; creating at least one assertion with conditions to determine whether the business intelligence artifact is functioning properly; testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact to verify its proper functioning by determining whether the conditions of the at least one assertion are satisfied; and reporting if the conditions of the at least one assertion are not satisfied.

2. The method of claim 1, wherein the conditions of the at least one assertion comprise expectations pertaining to whether the business intelligence artifact successfully executes within a specified amount of time.

3. The method of claim 1, further comprising executing the business intelligence artifact in the business intelligence system to generate a business intelligence output.

4. The method of claim 3, wherein the conditions of the at least one assertion comprise expectations pertaining to the quantity of data in the business intelligence output.

5. The method of claim 3, wherein the conditions of the at least one assertion comprise expectations pertaining to the data content in the business intelligence output.

6. The method of claim 1, wherein the conditions of the at least one assertion comprise expectations pertaining to the format of the business intelligence artifact.

7. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising: providing a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact is a user-authored object that produces output when the business intelligence artifact is executed in the business intelligence system; creating at least one pre-execution or post-execution assertion with conditions to verify the desired function of the business intelligence artifact; testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact for problems by determining whether the business intelligence artifact satisfies the conditions of the at least one assertion before execution of the business intelligence artifact or by determining whether execution of the current version of the business intelligence artifact in the business intelligence system satisfies the conditions of the at least one assertion; and reporting errors in the business intelligence artifact if problems are detected during testing.

8. The method of claim 7, wherein providing the business intelligence artifact comprises authoring an original business intelligence artifact.

9. The method of claim 7, wherein providing the business intelligence artifact comprises revising an original business intelligence artifact.

10. The method of claim 7, wherein the conditions of the at least one assertion comprise expectations pertaining to whether the business intelligence artifact successfully executes within a specified amount of time.

11. The method of claim 7, wherein the conditions of the at least one assertion comprise expectations pertaining to the quantity of data in a business intelligence output generated by execution of the business intelligence artifact.

12. The method of claim 7, wherein the conditions of the at least one assertion comprise expectations pertaining to the data content in a business intelligence output generated by execution of the business intelligence artifact.

13. The method of claim 7, wherein the conditions of the at least one assertion comprise expectations pertaining to the format of the business intelligence artifact.

14. The method of claim 7, wherein the conditions of the at least one assertion comprise whether the business intelligence artifact is valid.

15. The method of claim 7, wherein the conditions of the at least one assertion comprise whether the business intelligence artifact has one or more of the following: a specified name, a specified header, a specified footer, and a specified color.

16. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising: authoring a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact produces output when the business intelligence artifact is executed in the business intelligence system; executing the business intelligence artifact in the business intelligence system to generate a business intelligence output; creating at least one assertion with conditions to verify the desired function of the business intelligence artifact when executed in the business intelligence system; testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact for problems by determining whether the business intelligence output generated by the business intelligence artifact satisfies the conditions of the at least one assertion after execution of the business intelligence artifact in the business intelligence system; and reporting if the conditions of the at least one assertion are not satisfied after execution of the business intelligence artifact in the business intelligence system.

17. The method of claim 16, wherein the conditions of the at least one assertion comprise expectations pertaining to whether the business intelligence artifact successfully executes within a specified amount of time.

18. The method of claim 16, wherein the conditions of the at least one assertion comprise expectations pertaining to the quantity of data in the business intelligence output.

19. The method of claim 16, wherein the conditions of the at least one assertion comprise expectations pertaining to the data content in the business intelligence output.

20. The method of claim 16, wherein the testing is performed on a predetermined time interval.

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Claim Tree

  • 1
    1. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising:
    • authoring a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact produces output when the business intelligence artifact is executed in the business intelligence system
    • creating at least one assertion with conditions to determine whether the business intelligence artifact is functioning properly
    • testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact to verify its proper functioning by determining whether the conditions of the at least one assertion are satisfied
    • and reporting if the conditions of the at least one assertion are not satisfied.
  • 2
    2. The method of claim 1, wherein
    • the conditions of the at least one assertion comprise
  • 3
    3. The method of claim 1, further comprising
    • executing the business intelligence artifact in the business intelligence system to generate a business intelligence output.
    • 4. The method of claim 3, wherein
      • the conditions of the at least one assertion comprise
    • 5. The method of claim 3, wherein
      • the conditions of the at least one assertion comprise
  • 6
    6. The method of claim 1, wherein
    • the conditions of the at least one assertion comprise
  • 7
    7. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising:
    • providing a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact is a user-authored object that produces output when the business intelligence artifact is executed in the business intelligence system
    • creating at least one pre-execution or post-execution assertion with conditions to verify the desired function of the business intelligence artifact
    • testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact for problems by determining whether the business intelligence artifact satisfies the conditions of the at least one assertion before execution of the business intelligence artifact or by determining whether execution of the current version of the business intelligence artifact in the business intelligence system satisfies the conditions of the at least one assertion
    • and reporting errors in the business intelligence artifact if problems are detected during testing.
  • 8
    8. The method of claim 7, wherein
    • providing the business intelligence artifact comprises
  • 9
    9. The method of claim 7, wherein
    • providing the business intelligence artifact comprises
  • 10
    10. The method of claim 7, wherein
    • the conditions of the at least one assertion comprise
  • 11
    11. The method of claim 7, wherein
    • the conditions of the at least one assertion comprise
  • 12
    12. The method of claim 7, wherein
    • the conditions of the at least one assertion comprise
  • 13
    13. The method of claim 7, wherein
    • the conditions of the at least one assertion comprise
  • 14
    14. The method of claim 7, wherein
    • the conditions of the at least one assertion comprise
  • 15
    15. The method of claim 7, wherein
    • the conditions of the at least one assertion comprise
  • 16
    16. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising:
    • authoring a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact produces output when the business intelligence artifact is executed in the business intelligence system
    • executing the business intelligence artifact in the business intelligence system to generate a business intelligence output
    • creating at least one assertion with conditions to verify the desired function of the business intelligence artifact when executed in the business intelligence system
    • testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact for problems by determining whether the business intelligence output generated by the business intelligence artifact satisfies the conditions of the at least one assertion after execution of the business intelligence artifact in the business intelligence system
    • and reporting if the conditions of the at least one assertion are not satisfied after execution of the business intelligence artifact in the business intelligence system.
  • 17
    17. The method of claim 16, wherein
    • the conditions of the at least one assertion comprise
  • 18
    18. The method of claim 16, wherein
    • the conditions of the at least one assertion comprise
  • 19
    19. The method of claim 16, wherein
    • the conditions of the at least one assertion comprise
  • 20
    20. The method of claim 16, wherein
    • the testing is performed on a predetermined time interval.
See all 18 independent claims

Description

FIELD OF THE INVENTION

This invention relates to continuous integration of business intelligence software, and more particularly to establishing an automated agent that continuously monitors changes to, and the health and consistency of, a business intelligence software installation and its corresponding metadata models, report specifications, and analysis cubes, as well as the corresponding data sources that the business intelligence software analyzes.

BACKGROUND AND SUMMARY

Business intelligence systems are used in substantially all industries to gather, store, analyze, and report on business data or business intelligence. For example, manufacturing facilities use business intelligence systems to evaluate and report on factory production and personnel productivity as well as other critical metrics. Retailers use business intelligence systems to analyze trends in sales and to prepare reports for upper management.

Traditional business intelligence systems are not well-defined, predictable, or testable. For example, using traditional business intelligence systems to develop a report specification might be done as follows.

First, a business consumer requests a new report specification, and the task of creating the report specification is assigned to a report author skilled in the use of the report-authoring tool provided by the business intelligence software suite. While creating this report the report author might, for example, discover that the metadata model contained within the business intelligence software suite does not provide the information required for the report. The report author would in that case request that a change be made to the metadata model, and finish developing the report specification after the change is made.

Once the report author finishes the report specification it is sent to a quality inspector or directly to the business customer for testing. Whoever is testing the report must manually execute the report, visually inspect the report for defects, make notes about any defects found, and generate an error report that is returned to the report author for correction. The report author will attempt to make corrections to the report according to the new requirements provided in the notes. Once the report author corrects the report it is submitted for testing all over again, and this process continues until there are no errors found.

This process leads to numerous problems. First, if the metadata model is changed pursuant to the author's request, one or more previously created report specifications may fail to execute or produce incorrect results. Second, once a report specification is edited the previous version no longer exists and cannot be accessed for reference, or the previous version is stored in a content repository and is lost if the repository is lost or corrupted. Third, information stored in a repository cannot be accessed to convert an updated version having new errors back to a previous working version without errors. Last, there is no way to see the changes that have been made to the report specification, or to view recent outputs without manually running every report.

The present invention comprises a method and a system for applying continuous integration to business intelligence environments, including the business intelligence software installations, metadata models, report specifications, and analysis cubes, that overcomes the foregoing and other difficulties that have characterized the prior art. Continuous integration is a technique that has been practiced in the field of software development and is well known in the art. However, continuous integration has never been applied to business intelligence systems. The invention also employs version control, which is used to automatically record versions of business intelligence artifacts, including report specifications, metadata models, and analysis cubes.

The present invention applies continuous integration and automatic version control to improve the efficiency of developing, deploying, and altering business intelligence artifacts. In accordance with broader aspects of the invention, test cases can be defined for business intelligence artifacts. The test cases contain one or more assertions of characteristics that should be true of the business intelligence artifacts at a predetermined time. The assertions are used to verify that the business intelligence artifacts are working properly. There may be pre-execution assertions of characteristics that the business intelligence artifacts should possess before being executed, and post-execution assertions regarding characteristics of the outputs produced by execution of the business intelligence artifact. The test cases can be grouped into test suites and further into projects.

At a predetermined time interval, an automated agent executes any pre-execution assertions, executes the business intelligence artifact, stores the output of the execution of the business intelligence artifact and associates it with a version number, and executes any post-execution assertions. Any failures, or errors, are reported to the registered stakeholders, who are any persons with vested interests in the business intelligence artifacts, including business consumers, authors, etc. Thus, stakeholders are always assured that the system operates correctly and they are always aware of what has changed in the system.

By practicing the method of the present invention, business intelligence environments are better managed and more stable and predictable. Further, business intelligence artifact developers are able to better serve customers' ongoing needs by having the ability to update existing artifacts or revert to previously used artifacts without causing errors to or losing existing artifacts.

DESCRIPTION OF THE DRAWINGS

A more complete understanding of the present invention may be had by reference to the following Detailed Description when taken in connection with the accompanying Drawings, wherein:

FIG. 1 is a flowchart illustrating one embodiment of the steps of the method of the present invention; and

FIG. 2 is an analysis class diagram showing the system of the invention in conjunction with the business intelligence software that is known in the art.

DETAILED DESCRIPTION

Referring now to the Drawings, and in particular to FIG. 1, there is shown a flowchart illustrating the steps of one embodiment of the invention. The method of continuous integration and automatic version control can be used in conjunction with any business intelligence artifacts, including report specifications, analysis cubes, metadata models, etc.

When a business intelligence artifact is requested by a stakeholder, typically a business consumer, the first step of the invention is determining the output required from the business intelligence artifact by the stakeholder. This output may be a new business intelligence artifact or the revision of an existing one. Thus, the next step is providing a version of the business intelligence artifact, either by developing an original version of the artifact or creating a revised version. The project of developing or revising a business intelligence artifact may be assigned to one or more authors.

An author may then create a test case for the business intelligence artifact comprising at least one assertion having requirements that should be satisfied by the business intelligence artifact at a predetermined time. A test case may comprise numerous assertions that are defined by the author, and multiple test cases may be created and grouped into test suites.

The assertions are used in the practice of the method to determine whether the business intelligence artifact is functioning properly. Examples of assertions are that the artifact is valid, has a specified name, has specified headers or footers, has specified colors, executes in a specified amount of time, produces a specified number of lines when executed, etc. The assertions may be requirements of the report specification before it is run or executed, i.e., pre-execution assertions, and requirements of the report specification after it is executed, i.e., post-execution assertions.

The creation of test suites, test cases, and assertions is subject to the needs and desires of the stakeholders, and can be varied in terms of the number of assertions created, the requirements established, and the time at which they are created during the process. In fact, assertions can be defined before the report authors begin building the business intelligence artifact as well as during the building of the artifact as the report authors prepare the artifact.

The method utilizes a source control system to record and maintain current and historical versions of the business intelligence artifacts during the development or revision of the business intelligence artifacts. The source control system records and saves the artifacts at a predetermined time interval that may be established to run every thirty (30) minutes, every hour, or at any other interval determined by the stakeholders of the business intelligence environment.

The method also utilizes an automated agent to test the business intelligence artifact at another predetermined time interval. This time interval may be set as frequently as every four (4) hours, as infrequently as once per day, or other time intervals as determined by the stakeholders of the business intelligence environment. Generally this predetermined time interval is longer than the predetermined time interval for the source control system.

The automated agent executes the most current version of the business intelligence artifact and all of the assertions to determine whether everything within the business intelligence artifact is working as expected. In one embodiment the automated agent may test the business intelligence artifact against pre-execution assertions to determine whether the artifact is valid, then execute the artifact, and finally test the results or output of the execution of the artifact against post-execution assertions to verify the results. This step of testing the business intelligence artifact is repeated for every test case that is created by an author.

The method of defining and running assertions is well known in the art of software development but has never been applied to business intelligence systems.

It is through testing of the artifact via the automated agent that the invention allows the artifact to be continuously integrated by the changes that are made thereto while monitoring and testing the artifact for errors that may result from those changes.

After the assertions and/or the business intelligence artifact are executed, a summary report of the results of the testing is created and made available to registered stakeholders. Then the authors that are responsible for the artifact can review any errors included within the report and make the necessary corrections. The authors may recognize additional assertions needed while making corrections and cause them to be executed during the next testing interval. The testing via the automated agent and the version control continues throughout the time that the business intelligence artifacts are corrected.

In FIG. 2 there is shown an analysis class diagram showing the system of the invention. A typical business intelligence installation comprises software that typically employs at least one metadata layer that allows the software user to understand a data source. The business intelligence software will also often employ report specifications and/or analysis cubes that are built on top of and use the metadata layer to understand the data source.

FIG. 2 illustrates the system of the invention working in conjunction with the business intelligence software installation. The purpose of the invention is to continuously monitor, verify, and report on the business intelligence software. This is done via an automated agent that executes one or more test cases that are comprised within a test suite. The invention also automatically stores versions of the work done by the business intelligence software user.

Although preferred embodiments of the invention have been illustrated in the accompanying Drawings and described in the foregoing Summary and Detailed Description, it will be understood that the invention is not limited to the embodiments disclosed, but is capable of numerous rearrangements, modifications, and substitutions of parts and elements without departing from the spirit of the invention.

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Patent Valuation

34.65/100 Score

Market Attractiveness

It shows from an IP point of view how many competitors are active and innovations are made in the different technical fields of the company. On a company level, the market attractiveness is often also an indicator of how diversified a company is. Here we look into the commercial relevance of the market.

100.0/100 Score

Market Coverage

It shows the sizes of the market that is covered with the IP and in how many countries the IP guarantees protection. It reflects a market size that is potentially addressable with the invented technology/formulation with a legal protection which also includes a freedom to operate. Here we look into the size of the impacted market.

64.05/100 Score

Technology Quality

It shows the degree of innovation that can be derived from a company’s IP. Here we look into ease of detection, ability to design around and significance of the patented feature to the product/service.

47.0/100 Score

Assignee Score

It takes the R&D behavior of the company itself into account that results in IP. During the invention phase, larger companies are considered to assign a higher R&D budget on a certain technology field, these companies have a better influence on their market, on what is marketable and what might lead to a standard.

21.84/100 Score

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