A modern software factory is a repeatable way for teams to turn software changes into tested, deliverable releases. It brings together people, tools, and processes; automated CI/CD pipelines handle much of the build-and-release work, while engineers, security specialists, and operations teams guide decisions and respond to feedback. It is a software delivery model, not a physical factory.
What a modern software factory includes
The U.S. Department of Defense defines a software factory as a collection of people, tools, and processes that enables teams to continuously deliver value to a specific end-user community. A factory may contain several CI/CD pipelines, each with its own workflows, scripts, tools, and environments for producing deployable artifacts with minimal human intervention. The DoD’s DevSecOps resource also recognizes that different kinds of software may need different pipelines.
The Carnegie Mellon Software Engineering Institute (SEI) emphasizes the working environment around those pipelines: tools and practices should help programmers work creatively and effectively. In its account, configuration control, automated testing at code check-in, and frequent feedback are key characteristics. These views fit together: automation makes delivery repeatable, while people and practices help ensure the work is appropriate and useful.
The Continuous Delivery Foundation (CDF) uses a broader, current framing that connects the modern factory to a software delivery control plane. Its themes include security, self-service, platform engineering, reusable workflows, and internal developer platforms. This is the CDF’s framing, not a universal checklist every software factory must adopt. See the foundation’s overview.
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How a change moves through the factory
A pipeline is an automated workflow for moving a change toward a deployable artifact. The exact stages vary by software and operating context, but the overall sequence typically connects development, build, test, security and operations controls, release, delivery, and feedback.
- Develop and integrate. A developer changes code and integrates it through a managed source workflow. Configuration control records what changed and which version is being built, giving the team a traceable basis for later steps.
- Build and test. The pipeline builds the software and runs tests. SEI describes automated tests at check-in and frequent feedback; the DoD overview identifies build and test as pipeline phases. These checks help surface problems before the change moves farther toward delivery.
- Apply security and operational controls. DevSecOps brings development, security, and operations into a shared engineering culture and practice. Security checks and operational considerations belong in delivery workflows, adapted to the software and the conditions in which it will run—not bolted on as a single identical gate for every workload.
- Release and deliver. The pipeline prepares deployable artifacts and automates release and delivery steps where appropriate. A factory can use distinct pipelines for different software types rather than forcing every system through one route.
- Use feedback to improve the change and the workflow. Frequent feedback helps programmers and teams assess progress and find issues while changes are still manageable. SEI describes feedback loops that inform programmers, teams, processes, and progress, so learning can improve both the software and the way it is produced.
Where people and judgment remain essential
Automation reduces repeated manual work; it does not decide what users need, whether a test adequately represents real operating conditions, or how to handle a risk that requires judgment. People define and maintain the workflow, choose controls suited to the system, interpret test results, and coordinate when a change needs review or intervention.
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The DoD’s description of pipelines producing artifacts with minimal human intervention is not a promise of fully autonomous delivery. Human coordination still matters when workflows differ, when checks identify issues, and when teams must connect development, security, operations, and end-user needs. The factory is repeatable, but engineering decisions remain part of the process.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to compare software factory approaches
There is no single maturity score or universal pipeline implied by these sources. To compare approaches, look at the actual delivery process rather than the factory label:
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- Automation coverage: Which build, test, release, and delivery activities are automated, and which require manual work?
- Security and operations: At what points are checks applied, and are they adapted to the software and its operating constraints?
- Workflow fit: Do different software types have suitable paths, or must they all follow an unsuitable common pipeline?
- Feedback speed and usefulness: Do developers and teams receive actionable information early enough to respond?
- Coordination: Which handoffs or approvals still need people, and are responsibilities clear?
These are practical comparison dimensions drawn from the process characteristics described by the DoD and SEI, not a published benchmark or ranking. A highly automated workflow is not automatically a better fit if its controls, feedback, or handoffs do not suit the software it serves.
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