People arguably spend as much time analyzing test failures as they do writing tests.

A good functional test should not merely report where your test failed Anatomy of an Analysis Report. An analysis report will produce what is basically a cross tabulation (or cross tab) of selected transaction or job sheet information..

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Do you have a separate team that figures out why your tests failed?Have you often, after having analyzed a test up and down have no clue why it failed?Do you have to constantly cross-refer the environment where the test ran?If you answered yes to the above, then your reports are just not working well for you. What makes a good report then? A Report with great visibility - showing ALL steps that have been, are being and will be executed.

Be a show-it-allFirst and foremost, a report should tell you everything that led to the test failure. It should tell you all the steps that came before that led to the test failure. Very often, it is not the line where a test failed that is important but the steps before it. Perhaps you forgot to clear the cache at the right time.

Perhaps the driver you are using did not click a button in a form.

The final failure might be a verification that checks to see if a form was filled Technical engineering reports are divided into manageable sections to aid comprehension of the material. In this video, Dr Andrew Garrard takes us through the .

This information is best understood when the entire test is in front of you with a clear indication of where the failure occurred.

An accompanying screenshot and a stack trace are minimum requirements of course. Differentiate Expected and Unexpected FailuresYour report should differentiate those tests that have failed on an assertion or verification from those tests that have failed unexpectedly.

Typically your tests can fail for one of three broad reasonsYour application broke something and your test caught itYour test broke something within itselfYour environment broke somethingFiguring out which of these three caused your test to fail is half the challenge in analyzing tests. If your tests can visually indicate this, then the effort to discover your actual problem is considerably reduced. You can begin to focus on errors (unexpected behavior/exceptions etc.

) instead of failures (assertion failures) or vice versa depending upon your needs.

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For instance you might want page request times to be logged and graphed so that you may monitor a specific page's performance over a period of time.

Not only should your report provide some way where this can be logged, but it should also be able to provide a way to access this data programmatically 26 Jun 2013 - People arguably spend as much time analyzing test failures as they do writing tests. This necessitates good functional test reports. A good .

This access is important because then, you need not spend time writing and maintaining scripts that do nothing other than scrape data from one format to another. More importantly, having access to this data lets you build dashboards and trends that might be useful to monitor other aspects of your functional tests.

Apart from the page request times mentioned earlier, you might be able to link your test to a specific story in your project management tool. Separate data from presentation​Tools often embed the data they present with the presentation itself. This is a common anti-pattern and requires correction.

Coupling the data and presentation together makes reports rigid and will not let you customize it and add things you find valuable to the report.

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For any test that fails, this might be an invaluable way to figure out what caused the failure EGL USA reports contain elements ranging from simple calendar dates to complex findings that can uniquely identify a stone. View the anatomy of a sample .

Perhaps your testing tool does not have this feature, but you have developed it and wish to view it as a part of your report.

In order to let you do this, the tool has to separate data from its presentation. This implies that people can then choose to consume the report data in any visual form they find relevant and are no longer tied to the defaults that tools provide.

Success percentage trend chart: Not very helpful, right?Automated tests are best at discovering regression.

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So using this metric to decide the health of your project leads to a very wrong picture Frequently we face the question of how to a technical report: Lab report (spreading I call it a “Report Writing. Anatomy”. This document is a result of this lecture..

Let us say however that you have a large suite of tests.

The first thing to say would be "oh, let us have someone analyze these tests and let us know what the failures mean". Very quickly this "someone" will turn into a team that will require a manager and time all of its own. Soon after that, your reports will not be enough.

Before long somebody will suggest that you use data mining techniques to predict where your tests might fail In May 2014, the HTA completed its first cycle of site visit inspections for all establishments licensed in the anatomy sector. This summary report collates the .

Losing sight of the fact that automated tests are meant to test regression and little else is a dangerous thing to be trapped by.

They certainly aren't an indicator of changing fashions.

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Trend charts are useful for certain other reasons, but do not use them to look at trends of pass/fail percentages. Trends are particularly useful in weeding out tests that are flaky and don't perform consistently.

Consider using a heatmap to visualize this information and you might quickly find tests that you need to get rid of. ConclusionIt is most important for your reports to provide as much visibility into your tests as possible.

The report itself should be published as raw data and separated from any specific presentation layer. The raw data format should be easily dealt with programmatically, for example, JSON/XML/yaml etc. Most importantly it is not helpful to look at your tests for any more information other than regression.