Roveralls: Recursive Coverage Testing tool

roveralls

A Go recursive coverage testing tool.

roveralls runs coverage tests on a package and all its sub-packages. The coverage profile is output as a single file called 'roveralls.coverprofile' for use by tools such as goveralls.

Usage

At its simplest, to test the current package and sub-packages and create a roveralls.coverprofile file in the directory that you run the command:

$ roveralls

To see the help for the command:

$ roveralls -help

    roveralls runs coverage tests on a package and all its sub-packages.  The
    coverage profile is output as a single file called 'roveralls.coverprofile'
    for use by tools such as goveralls.

    Usage of roveralls:
      -covermode count,set,atomic
          Mode to run when testing files: count,set,atomic (default "count")
      -help
          Display this help
      -ignore dir1,dir2,...
          Comma separated list of directory names to ignore: dir1,dir2,... (default ".git,vendor")
      -short
          Tell long-running tests to shorten their run time
      -v    Verbose output

View Output in a Web Browser

To view the code coverage for you packge in a browser:

$ go tool cover -html=roveralls.coverprofile

Use with goveralls

The output of roveralls is the same as the the standard go test -coverprofile=profile.coverprofile but with multiple files tested in the output file. This can therefore be used with tools such as goveralls.

If you wanted to call it from a .travis.yml script you could use:

- $HOME/gopath/bin/roveralls
- $HOME/gopath/bin/goveralls -coverprofile=roveralls.coverprofile -service=travis-ci

Contributing

If you want to improve this program make a pull request to the repo on github. Please put any pull requests in a separate branch to ease integration and add a test to prove that it works. If you find a bug, please report it at the project's issues tracker also on github.

This tool was inspired by github.com/go-playground/overalls written by Dean Karn, but I found it difficult to test and brittle so I decided to rewrite it from scratch. Thanks for the inspiration Dean.

Author: LawrenceWoodman
Source Code: https://github.com/LawrenceWoodman/roveralls 
License: MIT License

#go #golang 

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Top 10 Automation Testing Tools: 2020 Edition

The demand for delivering quality software faster — or “Quality at Speed” — requires organizations to search for solutions in Agile, continuous integration (CI), and DevOps methodologies. Test automation is an essential part of these aspects. The latest World Quality Report 2018–2019 suggests that test automation is the biggest bottleneck to deliver “Quality at Speed,” as it is an enabler of successful Agile and DevOps adoption.

Test automation cannot be realized without good tools; as they determine how automation is performed and whether the benefits of automation can be delivered. Test automation tools is a crucial component in the DevOps toolchain. The current test automation trends have increased in applying artificial intelligence and machine learning (AI/ML) to offer advanced capabilities for test optimization, intelligent test generation, execution, and reporting. It will be worthwhile to understand which tools are best poised to take advantage of these trends.****

#automation-testing #automation-testing-tools #testing #testing-tools #selenium #open-source #test-automation #automated-testing

Top 10 Mobile Performance Testing Tools

Challenge for brands: how to offer a seamless, fast, and user-friendly mobile experience?

App users have a low tolerance for slowness, with a reported 43% of users unhappy if they have to wait longer than three seconds for an app to load. ([App Samurai])

It’s not enough to ensure that your mobile app functions properly, but also to test how it behaves on different devices, under heavy user load, different network connections, etcetera. It’s equally important to test different metrics on both the client-side as well as the server-side. This is where finding the right tool or set of tools for mobile performance testing is essential.

After extensively researching, I’ve put together a list of top-rated mobile performance testing tools and provided an overview of each below.

#testing #load testing tool #testing tools #performance #mobile testing tools

In-house Tool for Performance Testing

In the software development cycle, testing is one of the important criteria. There are many tools available in this space for testing such as Junit, Jmeter, manual, automation, and many performance testing tools. Some of these tools are third-party tools and have a cost-heavy license for the company to manage. For small start-up companies, these license costs can be unbearable. We analyze a tool to make the process easier and more cost effective.

About the Tool

The tool can have two parts. One part can be making a main interface web page where developers/testers can fill in the details and start testing. The other part can be the onboarding template page, where the team can onboard new applications, templates, and stacks so that it appears on the main interface page.

#performance testing #testing tool #performance test tools #testing

Testing Microservices Applications

The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.

This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?

A Brave New World

Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.

Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.

Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.

Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.

The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.

Keep in mind that there are additional things to focus on when testing microservices.

• Microservices rely on network communications to talk to each other, so network reliability and requirements must be part of the testing.
• Automation and infrastructure elements are now added as codes, and you have to make sure that they also run properly when microservices are pushed through the pipeline
• While containerization is universal, you still have to pay attention to specific dependencies and create a testing strategy that allows for those dependencies to be included

Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.

Contract Testing as an Approach

As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.

Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.

Ways to Test Microservices

It is easy to fall into the trap of making testing microservices complicated, but there are ways to avoid this problem. Testing microservices doesn’t have to be complicated at all when you have the right strategy in place.

There are several ways to test microservices too, including:

• Unit testing: Which allows developers to test microservices in a granular way. It doesn’t limit testing to individual microservices, but rather allows developers to take a more granular approach such as testing individual features or runtimes.
• Integration testing: Which handles the testing of microservices in an interactive way. Microservices still need to work with each other when they are deployed, and integration testing is a key process in making sure that they do.
• End-to-end testing: Which⁠—as the name suggests⁠—tests microservices as a complete app. This type of testing enables the testing of features, UI, communications, and other components that construct the app.

What’s important to note is the fact that these testing approaches allow for asynchronous testing. After all, asynchronous development is what makes developing microservices very appealing in the first place. By allowing for asynchronous testing, you can also make sure that components or microservices can be updated independently to one another.

#blog #microservices #testing #caylent #contract testing #end-to-end testing #hoverfly #integration testing #microservices #microservices architecture #pact #testing #unit testing #vagrant #vcr

Software Testing 101: Regression Tests, Unit Tests, Integration Tests

Automation and segregation can help you build better software
If you write automated tests and deliver them to the customer, he can make sure the software is working properly. And, at the end of the day, he paid for it.

Ok. We can segregate or separate the tests according to some criteria. For example, “white box” tests are used to measure the internal quality of the software, in addition to the expected results. They are very useful to know the percentage of lines of code executed, the cyclomatic complexity and several other software metrics. Unit tests are white box tests.

#testing #software testing #regression tests #unit tests #integration tests