process Lifecycle Management is how teams build, test, and fix software from start to finish

process Lifecycle Management (ALM) is a set of tools and practices that software teams use to manage a program from the moment someone writes the first line of code until the day it stops running. It covers planning what the software should do, writing the code, testing it, fixing problems, releasing it to users, and maintaining it afterward. Think of it as the entire workflow a team follows to get software from an idea to your computer.

Most teams do not do this by accident. They use specific software — tools like Microsoft Azure DevOps, Jira, or Jenkins — that track who is working on what, which bugs have been found, which fixes are ready to go live, and which ones are still being tested. Without these tools, a team of five people writing code in different places would lose track of what each person is doing, which changes broke something, and whether a fix actually worked before it reached users.

Key Takeaways

  • ALM covers the entire path a piece of software takes from planning through writing, testing, releasing, and maintaining it.
  • Teams use ALM tools to track who is working on what part of the code and which bugs or features are in progress, waiting to be tested, or ready to release.
  • Without ALM practices, teams lose track of changes, ship broken code, and cannot figure out which person or change caused a problem.
  • ALM tools talk to each other so that when a developer finishes writing code, it automatically gets tested and, if it passes, moves toward release without manual handoffs.

The stages ALM covers: planning, development, testing, and release

A typical ALM workflow starts with planning. A product manager or team lead writes down what the software should do — for example, "users should be able to upload a photo" or "the checkout page should load in under two seconds." This plan goes into a tracking system so everyone on the team can see it and know what they are building toward.

Next comes development. Developers write the actual code to make that feature work. As they work, they check their code into a central repository — a shared storage system like GitHub or GitLab — so other developers can see what changed and build on top of it. An ALM tool tracks every change, who made it, and when.

Then comes testing. Automated tests run on the new code to catch obvious problems — does the photo upload actually save the file, or does it crash? Does the checkout page load fast enough? If tests fail, the developer gets notified and fixes the code. If tests pass, the code moves to the next stage.

Finally comes release. The tested code gets deployed to the live system where real users can access it. An ALM tool tracks which version is live, which version is being tested, and which version is still in development. If something breaks in the live version, the team can roll back to the previous version while they fix the problem.

Why teams need ALM tools instead of doing it manually

Without an ALM system, a team might manage code changes by email. One developer finishes a feature and emails it to another developer. That developer tests it and emails the results back. A third person manually uploads the tested code to the live server. If something breaks, nobody knows which email contained the broken change or who to ask about it.

ALM tools automate these handoffs. When a developer finishes code and uploads it to the repository, the ALM system automatically runs tests. If tests pass, it automatically notifies the person responsible for releasing it. If tests fail, it automatically tells the developer which test broke and why. This speed matters: a team using ALM can release fixes in hours instead of days, and they can trace any problem back to the exact change that caused it.

Larger teams especially need this. A company with 50 developers working on the same piece of software cannot coordinate by email. An ALM tool shows each developer what everyone else is working on, prevents two people from accidentally overwriting each other's work, and makes sure nothing reaches users without being tested first.

Common ALM tools and what they do

Microsoft Azure DevOps is one complete ALM system. It includes planning tools, code storage, automated testing, and release management all in one place. A team can plan a feature in Azure, write code in Azure, test in Azure, and deploy from Azure without switching between different programs.

Jira is primarily a planning and tracking tool. Teams use it to write down what needs to be built, assign work to developers, and track progress. Jira does not store code itself, but it connects to code repositories like GitHub so that when a developer marks a task done, Jira knows which code changes were part of that task.

Jenkins is an automation tool. It watches a code repository and automatically runs tests every time a developer uploads new code. If tests pass, Jenkins can automatically deploy the code to a test server or even to the live server. This removes the manual step of someone having to remember to run tests and upload code.

Many teams use a combination. For example, a team might use GitHub to store code, Jenkins to run tests automatically, and Jira to track what work is in progress. The three tools talk to each other so that the workflow is seamless.

How ALM connects to DevOps and continuous deployment

DevOps is a related practice that emphasizes speed and automation. Where ALM is the overall framework for managing software from idea to maintenance, DevOps focuses specifically on making the testing and release stages as fast and automated as possible. Many ALM tools include DevOps features.

Continuous deployment is an extreme version of this. Instead of releasing software once a month, a team using continuous deployment releases new code multiple times a day. Every time a developer uploads code that passes tests, it automatically goes live. This is only possible with strong ALM practices — without automated testing and tracking, releasing multiple times a day would mean shipping broken code constantly.

What happens when ALM breaks down

When a team does not use ALM practices, specific problems appear. A developer fixes a bug, but another developer accidentally overwrites the fix with an older version of the code. A feature ships to users without being tested because nobody tracked that it was ready. A bug appears in the live system, and the team cannot figure out which change caused it because they did not track changes carefully.

These problems slow teams down. Instead of spending time building new features, developers spend time hunting for lost code, re-testing things that should have been tested already, and manually uploading code to servers. A team of five people might need a sixth person just to manage the chaos.

Frequently Asked Questions

Is ALM the same as project management?

No. Project management is about scheduling work and tracking important date. ALM is about managing the technical workflow of building software — who wrote what code, which tests passed, which version is live. A project manager might use Jira to track important date, but the developers use Jira to track code changes. They are related but different.

Do small teams need ALM tools?

Small teams benefit from ALM tools even more than large ones. A team of three developers can lose track of who changed what very quickly. Even basic ALM — using GitHub to store code and running automated tests — prevents costly mistakes. You do not need an expensive enterprise tool; free or low-cost options work well for small teams.

What is the difference between ALM and CI/CD?

ALM is the overall framework for managing software from planning to maintenance. CI/CD (continuous integration and continuous deployment) is a specific practice within ALM that focuses on automatically testing and releasing code. CI/CD is one part of ALM, not the whole thing.

Can a team use ALM tools without changing how they work?

Not really. ALM tools only work if the team actually follows the practices they enable. You can buy the best ALM software, but if developers do not check code into the repository regularly or if testers do not run automated tests, the tool sits unused. ALM requires teams to change their habits.

What happens to ALM after software is released?

ALM does not stop at release. The maintenance phase is part of the lifecycle. Teams use ALM tools to track bugs that users report, prioritize which bugs to fix, and manage updates and patches. The same tracking system that managed development continues to manage the software for as long as it is in use.