Fully Automated Version Management & Package Publishing

📦🚀 semantic-release

Fully automated version management and package publishing

semantic-release automates the whole package release workflow including: determining the next version number, generating the release notes, and publishing the package.

This removes the immediate connection between human emotions and version numbers, strictly following the Semantic Versioning specification and communicating the impact of changes to consumers.

Trust us, this will change your workflow for the better. – egghead.io

Highlights

Fully automated release
Enforce Semantic Versioning specification
New features and fixes are immediately available to users
Notify maintainers and users of new releases
Use formalized commit message convention to document changes in the codebase
Publish on different distribution channels (such as npm dist-tags) based on git merges
Integrate with your continuous integration workflow
Avoid potential errors associated with manual releases
Support any package managers and languages via plugins
Simple and reusable configuration via shareable configurations

How does it work?

Commit message format

semantic-release uses the commit messages to determine the consumer impact of changes in the codebase. Following formalized conventions for commit messages, semantic-release automatically determines the next semantic version number, generates a changelog and publishes the release.

By default, semantic-release uses Angular Commit Message Conventions. The commit message format can be changed with the preset or config options of the @semantic-release/commit-analyzer and @semantic-release/release-notes-generator plugins.

Tools such as commitizen or commitlint can be used to help contributors and enforce valid commit messages.

The table below shows which commit message gets you which release type when semantic-release runs (using the default configuration):

Commit message	Release type
`fix(pencil): stop graphite breaking when too much pressure applied`	~~Patch~~ Fix Release
`feat(pencil): add 'graphiteWidth' option`	~~Minor~~ Feature Release
`perf(pencil): remove graphiteWidth option` `BREAKING CHANGE: The graphiteWidth option has been removed.` `The default graphite width of 10mm is always used for performance reasons.`	~~Major~~ Breaking Release (Note that the `BREAKING CHANGE:` token must be in the footer of the commit)

Automation with CI

semantic-release is meant to be executed on the CI environment after every successful build on the release branch. This way no human is directly involved in the release process and the releases are guaranteed to be unromantic and unsentimental.

Triggering a release

For each new commit added to one of the release branches (for example: master, next, beta), with git push or by merging a pull request or merging from another branch, a CI build is triggered and runs the semantic-release command to make a release if there are codebase changes since the last release that affect the package functionalities.

semantic-release offers various ways to control the timing, the content and the audience of published releases. See example workflows in the following recipes:

Release steps

After running the tests, the command semantic-release will execute the following steps:

Step	Description
Verify Conditions	Verify all the conditions to proceed with the release.
Get last release	Obtain the commit corresponding to the last release by analyzing Git tags.
Analyze commits	Determine the type of release based on the commits added since the last release.
Verify release	Verify the release conformity.
Generate notes	Generate release notes for the commits added since the last release.
Create Git tag	Create a Git tag corresponding to the new release version.
Prepare	Prepare the release.
Publish	Publish the release.
Notify	Notify of new releases or errors.

Requirements

In order to use semantic-release you need:

To host your code in a Git repository
Use a Continuous Integration service that allows you to securely set up credentials
A Git CLI version that meets our version requirement installed in your Continuous Integration environment
A Node.js version that meets our version requirement installed in your Continuous Integration environment

Documentation

Usage
Extending
- Plugins
- Shareable configuration
Recipes
Developer guide
Support

Get help

Badge

Let people know that your package is published using semantic-release and which commit-convention is followed by including this badge in your readme.

[![semantic-release: angular](https://img.shields.io/badge/semantic--release-angular-e10079?logo=semantic-release)](https://github.com/semantic-release/semantic-release)

Author: Semantic-release
Source Code: https://github.com/semantic-release/semantic-release
License:

#javascript #automation

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Automation Testing Tips

Thorough testing is crucial to the success of a software product. If your software doesn’t work properly, chances are strong that most people won’t buy or use it…at least not for long. But testing to find defects or bugs is time-consuming, expensive, often repetitive, and subject to human error. Automated testing, in which Quality Assurance teams use software tools to run detailed, repetitive, and data-intensive tests automatically, helps teams improve software quality and make the most of their always-limited testing resources.

Use these top tips to ensure that your software testing is successful and you get the maximum return on investment (ROI):

Decide What Test Cases to Automate
Test Early and Test Often
Select the Right Automated Testing Tool
Divide your Automated Testing Efforts
Create Good, Quality Test Data
Create Automated Tests that are Resistant to Changes in the UI

Decide What Test Cases to Automate

It is impossible to automate all testing, so it is important to determine what test cases should be automated first.

The benefit of automated testing is linked to how many times a given test can be repeated. Tests that are only performed a few times are better left for manual testing. Good test cases for automation are ones that are run frequently and require large amounts of data to perform the same action.

You can get the most benefit out of your automated testing efforts by automating:

Repetitive tests that run for multiple builds.
Tests that tend to cause human error.
Tests that require multiple data sets.
Frequently used functionality that introduces high-risk conditions.
Tests that are impossible to perform manually.
Tests that run on several different hardware or software platforms and configurations.
Tests that take a lot of effort and time when manual testing.

Success in test automation requires careful planning and design work. Start out by creating an automation plan. This allows you to identify the initial set of tests to automate and serve as a guide for future tests. First, you should define your goal for automated testing and determine which types of tests to automate. There are a few different types of testing, and each has its place in the testing process. For instance, unit testing is used to test a small part of the intended application. To test a certain piece of the application’s UI, you would use functional or GUI testing.

After determining your goal and which types of tests to automate, you should decide what actions your automated tests will perform. Don’t just create test steps that test various aspects of the application’s behavior at one time. Large, complex automated tests are difficult to edit and debug. It is best to divide your tests into several logical, smaller tests. It makes your test environment more coherent and manageable and allows you to share test code, test data, and processes. You will get more opportunities to update your automated tests just by adding small tests that address new functionality. Test the functionality of your application as you add it, rather than waiting until the whole feature is implemented.

When creating tests, try to keep them small and focused on one objective. For example, separate tests for read-only versus reading/write tests. This allows you to use these individual tests repeatedly without including them in every automated test.

Once you create several simple automated tests, you can group your tests into one, larger automated test. You can organize automated tests by the application’s functional area, major/minor division in the application, common functions, or a base set of test data. If an automated test refers to other tests, you may need to create a test tree, where you can run tests in a specific order.

Test Early and Test Often

To get the most out of your automated testing, testing should be started as early as possible and ran as often as needed. The earlier testers get involved in the life cycle of the project the better, and the more you test, the more bugs you find. Automated unit testing can be implemented on day one and then you can gradually build your automated test suite. Bugs detected early are a lot cheaper to fix than those discovered later in production or deployment.

With the shift left movement, developers and advanced testers are now empowered to build and run tests. Tools allow users to run functional UI tests for web and desktop applications from within their favorite IDEs. With support for Visual Studio and Java IDEs such as IntelliJ and Eclipse, developers never have to leave the comfort of their ecosystem to validate application quality meaning teams can quickly and easily shift left to deliver software faster.

Select the Right Automated Testing Tool

Selecting an automated testing tool is essential for test automation. There are a lot of automated testing tools on the market, and it is important to choose the automated testing tool that best suits your overall requirements.

Consider these key points when selecting an automated testing tool:

Support for your platforms and technology. Are you testing .Net, C# or WPF applications and on what operating systems? Are you going to test web applications? Do you need support for mobile application testing? Do you work with Android or iOS, or do you work with both operating systems?
Flexibility for testers of all skill levels. Can your QA department write automated test scripts or is there a need for keyword testing?
Feature-rich but also easy to create automated tests. Does the automated testing tool support record and playback test creation as well as manual creation of automated tests; does it include features for implementing checkpoints to verify values, databases, or key functionality of your application?
Create automated tests that are reusable, maintainable, and resistant to changes in the applications UI. Will my automated tests break if my UI changes?

For detailed information about selecting automated testing tools for automated testing, see Selecting Automated Testing Tools.

Divide Your Automated Testing Efforts

Usually, the creation of different tests is based on QA engineers’ skill levels. It is important to identify the level of experience and skills for each of your team members and divide your automated testing efforts accordingly. For instance, writing automated test scripts requires expert knowledge of scripting languages. Thus, in order to perform these tasks, you should have QA engineers that know the script language provided by the automated testing tool.

Some team members may not be versed in writing automated test scripts. These QA engineers may be better at writing test cases. It is better when an automated testing tool has a way to create automated tests that do not require an in-depth knowledge of scripting languages.

You should also collaborate on your automated testing project with other QA engineers in your department. Testing performed by a team is more effective for finding defects and the right automated testing tool allows you to share your projects with several testers.

Create Good, Quality Test Data

Good test data is extremely useful for data-driven testing. The data that should be entered into input fields during an automated test is usually stored in an external file. This data might be read from a database or any other data source like text or XML files, Excel sheets, and database tables. A good automated testing tool actually understands the contents of the data files and iterates over the contents in the automated test. Using external data makes your automated tests reusable and easier to maintain. To add different testing scenarios, the data files can be easily extended with new data without needing to edit the actual automated test.

Typically, you create test data manually and then save it to the desired data storage. However, you will find tools that provide you with the Data Generator that assists you in creating Table variables and Excel files that store test data. This approach lets you generate data of the desired type (integer numbers, strings, boolean values, and so on) and automatically save this data to the specified variable or file. Using this feature, you decrease the time spent on preparing test data for data-driven tests.

Creating test data for your automated tests is boring, but you should invest time and effort into creating data that is well structured. With good test data available, writing automated tests becomes a lot easier. The earlier you create good-quality data, the easier it is to extend existing automated tests along with the application’s development.

Create Automated Tests That Are Resistant to Changes in the UI

Automated tests created with scripts or keyword tests are dependent on the application under test. The user interface of the application may change between builds, especially in the early stages. These changes may affect the test results, or your automated tests may no longer work with future versions of the application. The problem is automated testing tools use a series of properties to identify and locate an object. Sometimes a testing tool relies on location coordinates to find the object. For instance, if the control caption or its location has changed, the automated test will no longer be able to find the object when it runs and will fail. To run the automated test successfully, you may need to replace old names with new ones in the entire project, before running the test against the new version of the application. However, if you provide unique names for your controls, it makes your automated tests resistant to these UI changes and ensures that your automated tests work without having to make changes to the text itself. This also eliminates the automated testing tool from relying on location coordinates to find the control, which is less stable and breaks easily.

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