Interactive prototype · Developer tools

Does the finding survive context?

The core thesis of the case study, made clickable: a static-analysis finding is only as trustworthy as the context behind it.

Pick a real Java situation. Then turn on the layers of context the analyzer understands. Watch the same finding flip between “false positive → developers disable the rule” and “actionable → developers fix it.” Adoption lives in that flip.

Context → verdict sandboxPick a case, toggle context, watch the finding change.

The code in question

Context the analyzer applies

Language semantics & data flowTypes, nullability, taint. Always on — the baseline. Framework context (DI)Spring @Autowired, @Service — object lifecycles. Execution-environment contextEntry points, async/reactive, threads. Container & lifecycle contextEphemeral filesystem, container-managed resources. Trust-boundary visibilityExploit path, contextual severity, fix confidence.

What the developer sees

Finding

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0/4

Situations developers would act on

Developer trust in the tool

What’s modelled and what’s fake here, honestly. The four cases are real patterns; the verdicts are the argument, not a live analyzer. The point is the mechanism: every layer of context you switch on converts a “false positive” into either a correctly-suppressed finding or an actionable one — and that conversion, not raw rule coverage, is what earns developer adoption.