Article

8min read

Alpha vs. Beta Testing: What are the Differences?

Prior to the launch of a product, a number of tests are usually run to ensure that a software is ready for release and provides a good user experience. The purpose of these tests would be to validate the software before going ahead with a final release to your end-users.

These sorts of tests are essential to make sure that the software you’re releasing is free of bugs and meets the quality and requirements expected by your customers.

Among such tests are alpha and beta tests. These tests are conducted towards the end of the software development life cycle (SDLC) to test releases outside the development team to help uncover any issues that would otherwise not show up in previous tests that are run in more controlled environments.

What is alpha testing?

Alpha testing is typically run on internal users by the QA team (Quality Assurance) to make sure that the software meets all expectations and is working as it should. Thus, it represents an opportunity to evaluate the performance and functionality of a product release as well as obtain feedback from technical users.

In other words, the main purpose of this test is to uncover any bugs or issues to resolve them before the final product is released to users. It helps ensure bug-free functionality by carrying out tasks that a typical user may perform.

This test is usually performed when your product is nearly complete towards the end of the software development cycle in a staging environment, which attempts to mimic an actual production environment as closely as possible, but before beta testing, which we’ll get to later.

It seeks to answer the question whether your product actually works.

Alpha testing involves two main phases:

  • The first phase is run by software developers using debugging tools or software to catch bugs quickly.
  • The second phase is performed by the QA team and may involve ‘white box’ and ‘black box’ testing. A white box test will test the software system’s design and internal structure allowing QA testers to ‘look inside’ the product. A black box test, meanwhile, will test the system’s input and output functionality. 

 

The advantages of this type of testing are clear.
 

It allows teams to locate bugs and issues that managed to escape previous tests so that they may be fixed before they reach your end-users. 

Up until that point, tests were focused on testing specific parts of the software but alpha testing, on the other hand, looks to see if the software as a whole functions correctly.

In other words, it enables teams to validate the quality and functionality of their releases before it is released to customers. Put simply, Alpha testing opens up the application to receive initial feedback.

This results in improved software quality as the software is tested in an environment that is a very close replica of the environment it will eventually be used in, hence creating realistic testing conditions. This also allows the QA team to understand how the software will behave when it is later released to end-users.

To sum up, alpha testing provides an opportunity to put your product in real user environments but with technical users who are more adept at identifying and discovering bugs before conducting beta tests with actual real-world users.

However, conducting alpha testing may prolong the test execution cycle thereby delaying the release of the product to your end-users. Also, keep in mind that since the software is still in the development stage, alpha testing doesn’t provide in-depth testing of the functionality of the software.

Now, we will move on to the next testing phase, beta testing.

What is beta testing?

Beta testing involves releasing the software to a limited number of real users external to the organization. As a result, this type of testing is done in a production environment.

These users will then be asked to provide their feedback on the release, also named “beta version”. Beta testing, then, is an opportunity that allows users to test out the product to uncover any bugs or issues related to user experience (UX) before it is rolled out to the rest of your users.

In other words, it represents the final stage of testing before releasing the product to a wider audience. 

It also enables teams to run security and reliability tests as those tests cannot be conducted in a staging or lab environment.

There are many ways to implement beta testing. For example, often, companies will ask a select number of users to willingly op-in to get early access to the software. The advantage of this is that these users will be aware that the beta version may not be very stable and so they are more forgiving of any potential bugs and are happy to provide the feedback you need to optimize your product.

To be more specific, you may go for a closed or open beta test. In an open test, anyone can use the product but users are given a clear indication that the product is a beta version so they know that it’s still a work in progress. 

Meanwhile, in a closed test, as in the example given above, the testing is limited to a specific set of users, which would be by invite only. These users would be composed of early adopters, current customers or even paid beta testers.

Such exclusivity is one way to build close relationships with specific users as you are demonstrating that you value their opinion in particular before doing a wider release.

The advantage of this testing is clear. It is the first chance to test how the software will behave in real-world settings and observe how your end-users interact with it and what the user experience looks like.

Product managers, in particular, can make use of the feedback received to collect ideas and suggestions when planning future releases.

Beta testing is a way these managers can observe usage behavior and analytics to confirm that users are interacting with the product as expected. They may also run experiments and A/B tests of features to decide which one to choose for a general release. 

This, in turn, allows developers to uncover any bugs in real production and less controlled environments so that they may be fixed before a full launch.

Many bugs may have been discovered during alpha testing by your internal users but nothing can truly simulate real world users, which is why beta testing is necessary after alpha testing.

However, as we’ve seen, beta testing is conducted in real environments as opposed to controlled environments during alpha testing and so the former is more difficult to control.

Feature flags and beta testing: safer testing in production

During beta testing, you are essentially testing in production, which doesn’t come without its risks but luckily there is a way to mitigate those risks: by using feature flags.

A feature flag is a software development tool that helps decouple deployment from release, giving you full control over the release process. With feature flags, you can perform beta tests by enabling features for certain users and turning them off for everyone else.

Feature flags also act as a kill switch so that you can gradually roll out features to users to test performance and if something goes wrong, you can just as easily roll it back or turn off the buggy feature.

Feature flags are a great way for all teams within an organization to carry out beta testing as using feature flags for beta testing means even non-technical users such as product and marketing teams can turn on features for specific users, which means they’re not so reliant on development teams anymore.

Alpha vs beta testing

The major advantage of such types of testing is that it helps the development team to identify issues in advance before it goes to launch, allowing them to fix these issues early on before going for a full release. 

However, as already alluded to in above sections, there are still major differences between these two types of testing, some of which are summarized in the table below.

 Alpha αBeta β
TestersInternal employeesEnd-users or customers not part of the organization
Environment Requires a specific environment for testingDoes not require a testing environment
What’s testedFunctionality and usability are tested while security and reliability tests are not carried out in depthReliability, security and stability tests are key aspects of a beta test
Testing techniqueUses both white and black box testing techniquesFocuses mainly on black box testing 
WhenRun before the product officially launches to the marketRun after the product is launched
PurposeTest that the product is working as it should to evaluate product qualityUnderstand how real users interact with the product and to evaluate customer satisfaction 
DurationLong execution cycleShort process usually only lasting a few weeks
Post-test actionsAny bugs or issued discovered will be immediately rectifiedMost issues identified and feedback received will be implemented as improvements future versions of the product

Conclusion

Clearly, testing is important to ensure the delivery of high quality, bug-free releases. There are a number of tests carried out throughout a software’s life cycle, each of which serves a unique purpose. 

Read more: all about test environments and the type of tests that may be run as the software is being developed.

Here we looked at two important ones that occur towards the end of a software’s life cycle: alpha and beta testing.

Both alpha and beta tests are an important part of the testing process as they provide a valuable means to highlight crucial issues with your releases and provide user feedback, both internally and externally.

Alpha testing helps validate the quality of your software while beta testing allows you to obtain real-world feedback to ensure you’re building products that your customers actually like.

Therefore, in the testing lifecycle, both alpha and beta testing are essential.

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Article

13min read

What Are the Best Git Branching Strategies

In modern software development, speed and agility are crucial when it comes to developing and releasing software. However, when you have a large team of developers working simultaneously, branching and merging code can become messy fast. 

Therefore, teams need to have a process in place to implement multiple changes at once. This is where having an efficient branching strategy becomes a priority for these teams.

What is a branching strategy?

Branches are primarily used as a means for teams to develop features giving them a separate workspace for their code. These branches are usually merged back to a master branch upon completion of work. In this way, features (and any bug and bug fixes) are kept apart from each other allowing you to fix mistakes more easily.

This means that branches protect the mainline of code and any changes made to any given branch don’t affect other developers.

A branching strategy, therefore, is the strategy that software development teams adopt when writing, merging and deploying code when using a version control system.

It is essentially a set of rules that developers can follow to stipulate how they interact with a shared codebase.

Such a strategy is necessary as it helps keep repositories organized to avoid errors in the application and the dreaded merge hell when multiple developers are working simultaneously and are all adding their changes at the same time

Such merge conflicts would eventually deter shipping code quickly and thus hindering from creating and maintaining an efficient DevOps process as the whole purpose of DevOps is creating a fast workflow that would allow for the release of small batches of code.  

Thus, adhering to a branching strategy will help solve this issue so that developers can work together without stepping on each other’s toes. In other words, it enables teams to work in parallel to achieve faster releases and fewer conflicts by creating a clear process when making changes to source control.

When we talk about branches, we are referring to independent lines of code that branch off the master branch, allowing developers to work independently before merging their changes back to the code base.

In this post, we will outline some of the branching strategies that teams use in order to organize their workflow where we will look at their pros and cons and which strategy you should choose based on your needs, objectives and your team’s capabilities.

Why you need a branching strategy

As mentioned above, having a branching strategy is necessary to avoid conflicts when merging and to allow for the easier integration of changes into the master trunk.

A branching strategy aims to:
  • Enhance productivity by ensuring proper coordination among developers
  • Enable parallel development
  • Help organize a series of planned, structured releases
  • Map a clear path when making changes to software through to production
  • Maintain a bug-free code where developers can quickly fix issues and get these changes back to production without disrupting the development workflow

Git branching

Branches are not just exclusive to Git. However, in this article we focus on Git due to the many advantages this model of branching offers.

Consequently, before we delve into the various branching strategies out there, including Git branching strategies, we will take a look at how Git actually handles branches and why it’s a standout among other VCS tools.

Put simply, Git and other version control tools allow developers to track, manage and organize their code.

Git branches allow developers to diverge from the main branch by creating separate branches to isolate code changes. The default branch in Git is the master branch. 

The biggest advantage of a Git branch is that it’s ‘lightweight’, meaning that data consists of a series of snapshots so with every commit you make, Git takes a picture of what your files look like at that moment and stores a reference to that snapshot. This means that these branches aren’t just copies of the file system but simply a pointer to the latest commit. 

Meanwhile, other VCS tools store information as a list of file-based changes which may slow things down and use up significant space. 

In Git, a branch is essentially a reference or a pointer to the latest commit in a given context; it’s not a container for commits. As you create new commits in the new branch, Git creates new pointers to track the changes. Git branches, then, can be seen as a pointer to a snapshot of your changes. 

The images below illustrate this concept, where the top image shows the master branch and a pointer pointing to the last commit and the image right below it shows what happens when you create a new branch called ‘dev’- a new pointer now points to the latest commit.

To sum up, the Git branching model is lightweight compared to other version control systems; this is why it’s so easy and cheap to create branches in Git, as the whole code doesn’t need to be copied to the branch creating a large amount of duplicate files, as opposed to other VCS tools.

What are some common Git branching strategies?

GitFlow

Considered to be a bit complicated and advanced for many of today’s projects, GitFlow enables parallel development where developers can work separately from the master branch on features where a feature branch is created from the master branch.

Afterwards, when changes are complete, the developer merges these changes back to the master branch for release.

This branching strategy consists of the following branches:

  • Master 
  • Develop
  • Feature- to develop new features that branches off the develop branch 
  • Release- help prepare a new production release; usually branched from the develop branch and must be merged back to both develop and master
  • Hotfix- also helps prepare for a release but unlike release branches, hotfix branches arise from a bug that has been discovered and must be resolved; it enables developers to keep working on their own changes on the develop branch while the bug is being fixed.

The main and develop branches are considered to be the main branches, with an infinite lifetime, while the rest are supporting branches that are meant to aid parallel development among developers, usually short-lived.

Author: Vincent Driessen
source
License: Creative Commons BY-SA

GitFlow pros and cons

Perhaps the most obvious benefit of this model is that it allows for parallel development to protect the production code so the main branch remains stable for release while developers work on separate branches.

Moreover, the various types of branches make it easier for developers to organize their work. This strategy contains separate and straightforward branches for specific purposes though for that reason it may become complicated for many use cases. 

It is also ideal when handling multiple versions of the production code.

However, as more branches are added, they may become difficult to manage as developers merge their changes from the development branch to the main. Developers will first need to create the release branch then make sure any final work is also merged back into the development branch and then that release branch will need to be merged into the main branch.

In the event that changes are tested and the test fails, it would become increasingly difficult to figure out where the issue is exactly as developers are lost in a sea of commits.

Indeed, due to GitFlow’s complexity, it could slow down the development process and release cycle. In that sense, GitFlow is not an efficient approach for teams wanting to implement continuous integration and continuous delivery. 

Thus, in that case a much simpler workflow such as GitHub Flow is recommended.

GitHub Flow

GitHub Flow is a simpler alternative to GitFlow ideal for smaller teams as they don’t need to manage multiple versions.

Unlike GitFlow, this model doesn’t have release branches. You start off with the main branch then developers create branches, feature branches that stem directly from the master, to isolate their work which are then merged back into main. The feature branch is then deleted.

The main idea behind this model is keeping the master code in a constant deployable state and hence can support continuous integration and continuous delivery processes.

GitHub Flow pros and cons

Github Flow focuses on Agile principles and so it is a fast and streamlined branching strategy with short production cycles and frequent releases. 

This strategy also allows for fast feedback loops so that teams can quickly identify issues and resolve them.

Since there is no development branch as you are testing and automating changes to one branch which allows for quick and continuous deployment.

This strategy is particularly suited for small teams and web applications and it is ideal when you need to maintain a single production version.

Thus, this strategy is not suitable for handling multiple versions of the code.

Furthermore, the lack of development branches makes this strategy more susceptible to bugs and so can lead to an unstable production code if branches are not properly tested before merging with the master-release preparation and bug fixes happen in this branch. The master branch, as a result, can become cluttered more easily as it serves as both a production and development branch.

A further disadvantage is as this model is more suited to small teams and hence, as teams grow merge conflicts can occur as everyone is merging to the same branch and there is a lack of transparency meaning developers cannot see what other developers are working on.

GitLab Flow

GitLab Flow is a simpler alternative to GitFlow that combines feature-driven development and feature branching with issue tracking.

With GitFlow, developers create a develop branch and make that the default while GitLab Flow works with the main branch right away.

GitLab Flow is great when you want to maintain multiple environments and when you prefer to have a staging environment separate from the production environment. Then, whenever the main branch is ready to be deployed, you can merge back into the production branch and release it.

Thus, this strategy offers propers isolation between environments allowing developers to maintain several versions of software in different environments.

While GitHub Flow assumes that you can deploy into production whenever you merge a feature branch into the master, GitLab Flow seeks to resolve that issue by allowing the code to pass through internal environments before it reaches production, as seen in the image below.

Therefore, this method is suited for situations where you don’t control the timing of the release, such as an iOS app that needs to go through the App store validation first or when you have specific deployment windows.

Trunk-based development

Trunk-based development is a branching strategy that in fact requires no branches but instead, developers integrate their changes into a shared trunk at least once a day. This shared trunk should be ready for release anytime.

The main idea behind this strategy is that developers make smaller changes more frequently and thus the goal is to limit long-lasting branches and avoid merge conflicts as all developers work on the same branch. In other words, developers commit directly into the trunk without the use of branches.

Consequently, trunk-based development is a key enabler of continuous integration (CI) and continuous delivery (CD)  since changes are done more frequently to the trunk, often multiple times a day (CI) which allows features to be released much faster (CD).

This strategy is often combined with feature flags. As the trunk is always kept ready for release, feature flags help decouple deployment from release so any changes that are not ready can be wrapped in a feature flag and kept hidden while features that are complete can be released to end-users without delay. 

Trunk-based development pros and cons

As we’ve seen, trunk-based development paves the way for continuous integration as the trunk is kept constantly updated.

It also enhances collaboration as developers have better visibility over what changes other developers are making as commits are made directly into the trunk without the need for branches. This is unlike other branching methods where each developer works independently in their own branch and any changes that occur in that branch can only be seen after merging into the main branch.

Because trunk-based development does not require branches, this eliminates the stress of long-lived branches and hence, merge conflicts or the so-called ‘merge hell’ as developers are pushing small changes much more often. This also makes it easier to resolve any conflicts that may arise.

Finally, this strategy allows for quicker releases as the shared trunk is kept in a constant releasable state with a continuous stream of work being integrated into the trunk which results in a more stable release.

However, this strategy is suited to more senior developers as this strategy offers a great amount of autonomy which non-experienced developers might find daunting as they are interacting directly with the shared trunk. Thus, for a more junior team whose work you may need to monitor closely, you may opt for a Git branching strategy. 

How to choose the best branching strategy for your team

When first starting out, it’s best to keep things simple and so initially GitHub Flow or Trunk-based development may work best. They are also ideal for smaller teams requiring only a single version of a release to be maintained. 

GitFlow is great for open-source projects that require strict access control to changes. This is especially important as open-source projects allow anyone to contribute and so with Git Flow, you can check what is being introduced into the source code.

However, GitFlow, as previously mentioned, is not suitable when wanting to implement a DevOps environment. In this case, the other strategies discussed are a better fit for an Agile DevOps process and to support your CI and CD pipeline.

The following table summarizes the strategies discussed in this article and which strategy is appropriate in which context:

Product type and its release methodTeam sizeCollaboration maturityApplicable mainstream branch mode
AllSmall teamHighTrunk-Based Development (TBD)
Products that support continuous deployment and release, such as SaaS productsMiddleModerateGitHub-Flow and TBD
Products with a definite release window and a periodic version release cadence, such as iOS appsMiddleModerateGit-Flow and GitLab-Flow with release branch
Products that are demanding for product quality and support continuous deployment and release, such as basic platform productsMiddleModerateGitLab-Flow
Products that are demanding for product quality and have a long maintenance cycle for released versions, such as 2B basic platform productsLargeModerateGit-Flow

To sum up, there is no such thing as the perfect strategy. The strategy you choose will depend on your team and the nature and complexity of your project and so this should be evaluated on a case-by-case basis.

It’s also fine to start off with one strategy and adapt it over time according to your needs. Needless to say, whatever strategy you end up choosing should aim to increase your team’s productivity by giving them a clear and consistent strategy to organize their work.