My project requirements are
1.The framework must produce detailed Step Reports - which can be sent to the client through email.
2.The execution time must be less
3.Easy to write
I know behat and Cucumber
Please suggest me which framework is good ??
I would say Behat+Mink+Selenium combination. I've been using for very long time.
Behat will give you report as you wanted. We always send reports to clients where every single line is printed and either marked as success or failure. At the end of it, you get a full result where you can see overall report.
e.g. bin/behat #YourBundleName -f pretty,html --out ,report-path/behat.html. You can even get screen-shots of failed steps.
Every program can be considered as fast or slow. Result will depend on how you do things. You have a lot of options to make behat tests run fast. e.g. if you use phantomJs to run the tests and symfony2 as default session.
Behat uses Gherkin language which is easy to understand and write. You don't have to be a programmer at all.
One framework known for its pretty reports is Concordion. Please, have a look at the example to view one such report: http://concordion.org/Example.html
The Java version of Concordion utilizes JUnit to execute its tests. So you get a good integration in your development environment. Concordion support multiple technologies such as .NET, Ruby, Python, etc. http://concordion.org/Ports.html
Which technology are you using?
Concordion based on specification by example has been designed with a short learning-curve as a top priority. The purposely small command-set is simple to learn: http://concordion.org/Tutorial.html
Related
In modern programming workflow numerous testing frameworks are used at once. For example, in PHP world, it is de-facto standard way to use unit tests, integration tests and functional/acceptance tests at once. Most of the time different frameworks are used for different test type. I am using combination of PHPSpec for unit, PHPunit for integration and CodeCeption for functional tests.
Is it possible to aggregate code coverage results that each of these frameworks return? Is there any tool that aggregates code coverage reports from different frameworks?
Or it is only possible to view individual results for each framework while they are incorrect because each code coverage report doesn't take into account other tests.
It is actually quite simple to perfrom this task. All your frameworks rely on the same library to generate the code coverage.
As you can see the generator in sebastianbergmann/php-code-coverage already supports a merge function (line 335) to merge different aggregates. Since you are part of a team using tests I assume it will be easy for you to change the test execution layer slightly to gather the code coverage in a single php process and just merge em.
There is a tool for this: phpcov. It allows to merge many coverage files with merge option:
$ parallel --gnu ::: \
'phpunit --coverage-php /tmp/coverage/FooTest.cov tests/FooTest' \
'phpunit --coverage-php /tmp/coverage/BarTest.cov tests/BarTest'
$ phpcov merge /tmp/coverage --clover /tmp/clover.xml
phpcov 2.0.0 by Sebastian Bergmann.
Generating code coverage report in Clover XML format ... done
I think we are on same boat. How we can tell how much we have converge using this all different testing tool. We start discuss with team and decide to go for
SonarSource. - For PHP Plugin and Live demo
PHP Report Stlyle - I advice you to visit live demo. It will help more.
It is very robust tool. It give us all inside of code.
The PHP Test Coverage Tool from Semantic Designs (my company) collects and combines test coverage from any
framework
test set
individual test
even ad hoc manual tests.
After running some set of tests, our tool is can be easily triggered to dump test coverage vectors to a file; you need to modify the framework slightly to invoke
TCVDump();
when the framework completes, or you can invoke a TCVDDump() by touching an easily found, special web page added by the test coverage tool. Each such call produces a time-stamped or user-named file (e.g, after the framework or test set) so they are easily distinguished
The graphical test coverage display included as part of the tool will interactively select and merge small or large sets of such files to produce a coherent whole, both display and summary. It will also compare test coverage vectors to enable one to decide if coverage from one test set include/intersects another, etc.
The test coverage display component will also export text or XML/HTML summaries of the coverage results.
You can even run tests on different subsystems and combine them. This test coverage tool is part of larger family of tools for many languages other than PHP; tests run on a multilingual application system can also be combined to provide an overview of coverage for the multilingual application.
We are switching from a classic 'Waterfall' model into more Agile-orient philosophy. We decided to give BDD a try (Cucumber), but we have some issues with migrating some of our 'old' methodologies. The biggest question mark is how manual tests integrates into the cycle.
Let's say the Project Manager defined the Feature and some basic Scenario Outlines. With the test team, we defined around 40 Scenarios for this feature. Some are not possible to automatically test, which means they will have to be tested manually. Execute manual testing when all you have is the feature file, feels wrong. We want to be able to see past failure rate of tests for example. Most of the Test-Cases managers support such features, but they can't work with Feature files. Maintaining the Manual Testcases in external Test-Case manager, will cause never-ending updating issues between the Feature file and the Test-Case manager.
I'm interested to hear if anyone is able to cover this 'mid-ground' and how.
This is not a very unusual case. Even in Agile it may not be possible to automate every scenario. The scrum teams I am working with usually tag them as #manual scenario in the feature file. We have configured our automation suite (Cucumber - Ruby) to ignore these tags while running nightly jobs. One problem with this is, as you have mentioned, we won't know what was the outcome of manual tests as the testers document the results locally.
My suggestion for this was to document the results of each iteration in a YML or any other file format that suits the purpose. This file should be part of the automation suite and should be checked in the repository. So to start with you have results documented along with the automation suite. Later when you have the resource and time, you can add a functionality to your automation suite to read this file and generate a report either with other automation results or separately. Until then your version control should help you to track all previous results.
Hope this helps.
To add to #Eswar's answer, if you're using Cucumber (or one of it's siblings), one option would be to execute the test runner manually and include prompts for the tester to check certain aspects. They then pass/fail the test according to their judgement.
This is often useful for aesthetic aspects e.g. cross-browser rendering, element alignment, correct images used, etc.
As #Eswar mentioned, you can exclude these tests from your automated runs by tagging them.
See this article for an example.
Test cases that cannot be automated are a poor fit for a cucumber test. We have a bunch of these edge cases. It is nigh impossible to get Selenium to verify PDF documents well. Same thing for CSV downloads (not impossible, but not worth the effort). Look and feel tests simply require human eyes at this point. Accessibility testing with screen readers is best done manually as well.
For that, be sure to record the acceptance criteria in the user story in whichever tool you use to track work items. Write a manual test case. The likes of Azure DevOps, Jira, IBM Rational Team Concert and their ilk have ways to record manual test plans, link them to stories, and record the results of executing a manual test.
I would remove the manual test cases from the cucumber tests, and rely on the acceptance criteria for the story, and link the story to some sort of manual test case, be it in a tool or a spreadsheet.
Sometimes you just need to compromise.
We use Azure DevOps with Test Plans + some custom code to synchronize cucumber tests to ADO. I can describe how we’ve realized it in our projects:
We start with the cucumber file first. Each User Story has its own Feature file. The scenarios in the Feature are the acceptance criteria for the story. We end up with lots of Feature files, so we use naming conventions and folders to organize them.
We annotate the top of the Feature file with a tag to the User Story, eg #Story-1234
We‘ve written a command line utility that reads the cucumber files with these tags. It then fetches all the Test Suites in the Test Plan that are linked to Stories. In ADO, a story can only be linked to a single test suite. If a Test Suite doesn’t exist for that Story, our tool creates one.
For each Scenario, the tool creates a an ADO Test Case and then annotates the Scenario with the Test Case ID. This creates amazing traceability for each User Story as the related Test Cases are automatically linked to the Story in the Azure DevOps UI
Although we don’t do this, we could populate the TestCase with the step definitions from our cucumber Scenario. It’s a basic XML structure that describes the steps to take. This would be useful if we wanted to manually execute the test case using the Azure DevOps Test Case UI. Since we focus primarily on automation, we rely on the steps in our Feature files and our ADO Test Cases end up being symbolic links back to cucumber Scenarios.
Because our cucumber tests are written in C# (SpecFlow), we can get the full class name and method for the cucumber test code. Our tool is able to update the Azure DevOps Test Case with the automation details.
Any test case that isn’t ready for automation or must be done manually, we annotate the Scenario with a #ignore or #manual tag.
Using Azure DevOps Pipelines, we use the Visual Studio Test task to run our tests. The important point here is we execute the Test Plan option. This option fetches the Test Cases in the Test Plan that have automation and then executes the specific cucumber tests. The out-of-the-box functionally updates the Test Case statuses with the test results.
After running through automation, we use the Test Plan Report in Azure DevOps which shows the Test Case execution status over time and can distinguish between test automated and manual test cases.
We execute any remaining manual test cases to complete the Test Plan
For us, we often found that the manual cases that cannot be automated are exception cases, or cases that depend on external environment (for example malformed data, network connection not available, maintenance, first time guide...). These cases require special setup to simulate the environment when they happen.
Ideally, I believe it is possible to cover everything, given that you are prepared to go as far as you can to make it happen. But in reality, it is most often too much an effort needed that we prefer the hybrid approach of mixed manual-automatic test cases. We do, however, try to convert those exception cases over the time to automatic ones, by setting up separate environment to simulate exception cases and write automation tests against them.
Nevertheless, even with that effort, there would be cases when it's impossible to simulate, and I believe they should be covered by technical tests from engineers.
You could use an approach similar to the following example:
http://concordion.org/Example.html
When you use a build or continuous integration system to track your test runs, you could add simple specifications / tests for your manual cases that contain a text comparison (e.g. "pass" or "fail"). Then you would need to update the spec after each manual test run, check it in, and start the tests in your build / continuous Integration system. Then the manual results would be recorded together with the results of the automated test execution.
If you would use a tool like Concordion+ (https://code.google.com/p/concordion-plus/) you could even write a summary specification, which could contain scenarios for each of your manual tests. Each one would be reported as individual test result in your test execution environment.
Cheers
taking screen shots seems to be a good idea, you can still automate the verification but will need to go an extra mile. for instance when using Selenium you can add Sikuli(NB: u can't run headless test) to compare results (images) or take a screenshot with Robot (java.awt) use OCR to read text and assert or verify(TestNG)
Can any one please tell me is there any kind of tools or eclipse base plugins available for generate relevant test cases for SalesForce platform related Apex classes. It seems with code coverage they are not expecting out come like we expect with JUnit, they want to cover whether, test cases are going through the flows of the source classes (like code go through).
Please don't get this post in wrong, I don't want anyone is going to write test cases for my codes :). I have post this question due to nature of SalesForce expecting that code coverage should be. Thanks.
Although Salesforce requires a certain percentage of code coverage for your test cases, you really need to be writing cases that check the results to ensure that the code behaves as designed.
So, even if there was a tool that could generate code to get 100% coverage of your test class, it wouldn't be able to test the results of those method calls, leaving you with a false sense of having "tested code".
I've found that breaking up long methods into separate, sometimes static, methods makes it easier to do unit testing. You can test each individual method, and not worry so much about tweaking parameters to a single method so that it covers all execution paths.
it's now possible to generate test classes automatically for your class/trigger/batch. You can install "Test Class Generator" app from AppExchange and see it working.
This would really help you generating test class and saves lot of your development time.
Where i am working we have the following issue:
Our current test procedure is that our business analyst test the release based on their specifications/tests. If it passes these tests it is given to the quality dept where they test the new release and the entire system to check if something else was broken.
Just to mention that we outsource our development. Unfortunately the release given to us is rarely tested by the developers and thats "the relationship" we have with them these last 7 years....
As a result if the patch/release fails the tests at the functionality testing level or at the quality level with each patch given we need to test the whole thing again not just the release.
Is there a way we can prevent this from happening?
You have two options:
Separate the code into independent modules so that a patch/change in one module only means you have to re-test that one module. However, due to dependencies this is effective only to a very limited degree.
Introduce automated tests so that re-testing is not as expensive. It takes some more work at fist, but will definitely pay off in your scenario. You don't have to do unit test or TDD - integration tests based on capture-replay tools are often easier to introduce in your scenario (established project with manual testing process).
Implement a continuous testing framework that you and the developers can access. Someething like CruiseControl.Net and NUnit to automate the functional tests.
Given access, they'll be able to see nightly tests on the build. Heck, they don't even need to test it themselves, your tests will be being run every night (or regularly), and they'll know straight away what faults they've caused, or fixed, if any.
Define a 'Quality SLA' - namely that all unit tests must pass, all new code must have a certain level of coverage, all new code must have a certain score in some static analysis checker.
Of course anything like this can be gamed, so have regular post release debriefs where you discuss areas of concern and put in place contingency to avoid it in future.
Implement GO server with Dashboard and handle with GO Agent GUI at your end.
http://www.thoughtworks-studios.com/forms/form/go/downloadlink text
Looking for a way to get a visual report about:
overall test success percentage over time (information about if and how quickly tests are going greener)
visualised single test results over time (to easily notice test gone red that has been green for long time or vice versa to pay attention to a test that has just gone green)
any other visual statistics that would benefit testers and the project as a whole
Basically a tool that would generate results from the whole test results directory not just off the single (daily) run.
Generally it seems it could be done using XSLT, but it doesn't seem to have much flexibility to work with multiple files at the same time.
Does such a tool exist already?
I feel fairly courageous to claim that most Continuous Integration Engines such as Hudson (for Java) provide such capability either natively or through plugins. In Hudson's case there's a few code coverage plugins available already and I think it does basic graphs from unit tests automatically by itself.
Oh and remember to configure the CI properly, for example our Hudson polls CVS every 10 minutes and if it sees any changes, it does all the associated tricks (get updated .java files, compile, run tests, verify dependencies etc.) to see if the build is still OK or not.
Hudson will do this and it will work with Nunit (here), Junit (natively), and MSTest.exe tests using the steps I outline here. It does all that you require and more. Even if you want it to ONLY run tests and give you feedback on those, it can.
There's such new report supporting NUnit \ JUnit called Allure. To retrieve information from NUnit you need to use NUnit adapter, for JUnit - read the following wiki page. You can use it with Jenkins via respective plugin.