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Framework

CSA Framework — from paper to practice

The end-to-end Computer Software Assurance operating model — risk profiling, test-strategy selection, vendor-evidence leverage, and audit posture.

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CSA frameworkComputer Software AssuranceFDA CSA operating model
In short

Computer Software Assurance is FDA's guidance on how much testing a GxP system actually needs, finalised in September 2025 after three years in draft. Instead of testing every requirement to the same depth, you assess what happens if each one fails and concentrate effort where failure would affect patient safety, product quality or data integrity. CSA does not replace validation — it changes how the effort inside it is distributed.

High riskFailure could affect patient safety or product quality
Scripted testingWritten steps, expected results, an independent reviewer
Step-by-step results, screenshots and signatures
Medium riskFailure is noticed and contained
Unscripted testingExploratory or ad-hoc testing against the intended use
A record of what was tested, by whom, and the result
Low riskStandard function, supplier-tested
Supplier evidenceThe vendor’s own testing, assessed and accepted
The assessment and the reason it is enough
Computer Software Assurance in one picture: test effort follows the risk of each requirement. Based on FDA’s Computer Software Assurance guidance.

Step 1 — Identify the intended use

Everything downstream depends on this being specific. 'The system manages quality records' is not an intended use; it is a product category.

  • 1

    Intended use stated per function

    What the system is used for in your process, function by function, in your own words rather than the vendor's.

  • 2

    Direct or indirect impact determined

    Does this function touch product quality, patient safety or record integrity directly, or support something that does?

  • 3

    Out-of-scope functions named

    Functions you have licensed but do not use for GxP purposes, explicitly excluded with a reason.

Apply this on a real systemSee GxP Copilot work on your own URS, or chat with us on WhatsApp.

Step 2 — Determine the risk

The heart of CSA. Assess the harm from failure, not the complexity of the feature — these are routinely confused, and the confusion is what produces inflated test plans.

  • 4

    Failure consequence assessed

    What actually happens if this function fails or produces a wrong result. Severity drives everything that follows.

  • 5

    Detectability considered

    Would a failure be noticed by a downstream control, or would it pass silently into a record?

  • 6

    High vs non-high risk assigned

    FDA's model is deliberately binary at the top level. Resist inventing a five-point scale that nobody can apply consistently.

  • 7

    Rationale written at the time

    Recorded as the decision is made, not reconstructed later. A rationale written after an audit question reads exactly like one.

Step 3 — Choose the assurance activity

Three options, and the skill is in matching them honestly. Picking the lightest option everywhere is not CSA; it is the thing CSA gets blamed for.

  • 8

    Scripted testing

    Pre-defined steps with expected results and captured evidence. For high-risk functions where failure would reach the patient or the record.

  • 9

    Unscripted testing

    Exploratory, ad-hoc or error-guessing testing with a session record of what was covered and what was found. For non-high-risk functions.

  • 10

    Vendor evidence leverage

    Relying on supplier testing where their quality system has been assessed and their evidence is specific enough to cite.

  • 11

    Selection mapped to risk

    A table linking each function to its risk level and the activity chosen. This table is what an inspector will ask to see.

Step 4 — Establish the record

CSA reduces documentation volume, not documentation discipline. What you keep must be enough to reconstruct the decision.

  • 12

    Evidence proportionate to risk

    Full records for scripted testing; a session record naming the tester, scope, duration and findings for unscripted.

  • 13

    Issues recorded regardless of method

    A defect found during exploratory testing is still a defect and still needs resolving and recording.

  • 14

    Traceability maintained

    Every function links to its risk determination, its chosen activity and its outcome.

  • 15

    Conclusion documented

    A statement that the system is fit for its intended use, supported by the evidence actually gathered.

Making the transition from traditional CSV

The most common failure mode is a CSA policy that nobody applies because the templates still demand scripted evidence for everything.

  • 16

    Procedures updated first

    Your validation SOP has to permit unscripted testing and vendor evidence, or your teams cannot legally use them.

  • 17

    Templates rebuilt

    Protocol templates that only accommodate scripted steps will quietly force scripted testing forever.

  • 18

    Assessors trained

    Risk assessment is a judgement skill. Teams that have only ever scripted everything need practice at justifying less.

  • 19

    Applied to new systems first

    Re-baselining a validated estate under CSA is a bigger project than it looks. Prove the model on new work.

  • 20

    QA aligned before, not after

    A CSA rationale rejected at approval wastes more time than scripting everything would have.

How to use this

CSA is guidance, not a regulation. It describes an approach FDA considers acceptable; it does not oblige you to adopt it, and it does not override your own quality system.

CSA is frequently misread as permission to test less. The reduction is a consequence of the risk assessment, not the goal of it. A reduced test effort with no documented rationale is simply under-testing.

This is a working aid, not a regulatory document, and it does not replace your own quality system procedures.

Explore related resources, products and services: GxP Copilot, TraceDraft, validation services, AI transformation.

CSA frameworkComputer Software AssuranceFDA CSA operating model

Sources

Primary documents referred to on this page, from their official publishers.

FAQ

Common questions

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What is Computer Software Assurance (CSA)?

CSA is FDA's guidance on assurance for production and quality system software, issued as a draft in 2022 and finalised in September 2025 and reissued in February 2026. It asks you to determine each function's intended use, assess the harm if it fails, and choose an assurance activity proportionate to that harm — scripted testing, unscripted testing, or reliance on assessed vendor evidence.

Is CSA replacing CSV?

No. CSV is the activity of establishing documented evidence that a system is fit for its intended use; CSA is guidance on how to size the effort within it. You still produce a validation lifecycle, a traceability matrix and a summary report. What changes is how much testing each individual requirement receives.

How much testing can we actually remove under CSA?

There is no fixed figure, and any number quoted without reference to your risk profile should be treated with suspicion. The reduction falls out of the risk assessment: low-risk functions on a well-assessed commercial product may need little direct testing, while high-risk functions need as much scripted evidence as they ever did.

What is unscripted testing and is it acceptable?

Unscripted testing is exploratory, ad-hoc or error-guessing testing performed without pre-defined steps, documented with a session record naming the tester, the scope covered, the duration and the findings. FDA explicitly recognises it as an assurance activity for non-high-risk functions. Findings must still be recorded and resolved.

What do we need to change to adopt CSA?

Your validation SOP must permit unscripted testing and vendor-evidence reliance, your protocol templates must accommodate something other than scripted steps, your assessors need practice at writing defensible risk rationales, and QA must agree the approach before the first package arrives for approval rather than after.

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