ALM (Application Lifecycle Management)
ALM (Application Lifecycle Management) refers to the coordinated management of the entire software lifecycle — from requirements through design, implementation and testing to release and maintenance — including the processes and tools that connect these disciplines. The core idea: the artifacts of development do not arise in separate departmental worlds, but remain linked and traceable throughout the lifecycle.
Which disciplines does ALM comprise?
ALM bundles disciplines that traditionally live in separate tools and responsibilities:
| Discipline | Content |
|---|---|
| Requirements management | Capturing, versioning and linking requirements |
| Change and configuration management | Controlling changes, keeping baselines reproducible |
| Test and quality management | Planning test cases, assigning results to requirements |
| Build and release management | Integrating, releasing and delivering software |
| Project and process governance | Planning work, making progress and maturity visible |
The added value lies in the cross-relationships: only when a requirement is linked to its implementation, its test cases and the release in which it was delivered can questions such as “What is affected by this change?” or “Has this requirement been tested?” be answered without manual research.
ALM tools
Typical ALM platforms in the engineering environment are Siemens Polarion, PTC Codebeamer, Jama Connect and IBM Engineering Lifecycle Management (with DOORS for requirements management); in addition, combinations around Jira and Git-based platforms such as GitLab cover parts of the lifecycle. Two basic patterns face each other: integrated suites, which unite as many disciplines as possible in one platform, and best-of-breed landscapes, which combine specialised tools per discipline. Both approaches are legitimate — the suite buys continuity at the price of lower specialisation, best-of-breed buys specialisation at the price of integration effort.
Distinction: ALM, PLM and DevOps
PLM (Product Lifecycle Management) is the counterpart for the physical product: mechanics, electronics, bills of materials, manufacturing data. In embedded systems, ALM and PLM inevitably overlap, because the software is part of the product — aligning both worlds is one of the classic integration tasks in systems engineering. DevOps, in turn, automates the path from code change to operation; ALM spans the broader governance frame around it, including requirements, change and evidence management.
ALM in practice: tool silos are the rule
The promise of ALM — a continuously linked lifecycle — mostly fails in practice due to grown tool landscapes: requirements live in DOORS or Polarion, architecture models in MBSE tools, code and pipelines in GitLab, tests in a separate test management system. Between these silos arise exactly the gaps in which traceability is lost — and which become visible in audits according to ISO 26262 or Automotive SPICE as missing traceability. The realistic path is rarely the big migration to a single tool, but the integration of the existing landscape: a traceability layer on top of the existing tools that connects requirements, models, code and tests into continuous evidence chains without replacing existing investments.