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RLV / CV

Case study · Android / AAOS

ADB Validation Console — a repeatable diagnostic workflow

Diagnostic work becomes easier to review when the device context, the action and its evidence remain together. ADB Validation Console organises recurring Android / AAOS tasks into a desktop console.

The workflow problem

Validation and investigation often require repeated diagnostic actions alongside logs and screenshots. The product brings common tasks into a console so that command selection and evidence capture can form a more consistent workflow.

My contribution

I defined requirements and validation workflows, directed AI-assisted implementation and verified the Windows build. The project focuses on the diagnostic tasks and evidence that matter during an investigation.

  • 92 presets organised into 16 categories
  • USB and TCP connection workflows
  • Log capture, screenshots and reports

What is available

The public project is an independent Python tool built around Android SDK Platform Tools. Source and Windows-build information are available in its repository. Android Debug Bridge provides the underlying communication with Android devices.

Available verification covers automated source checks, a macOS interface sample preview, and Windows artifact format and checksum checks. End-to-end operation with a live Android / IVI target and the Windows interface on a device workflow remain separate verification steps.

A reviewable diagnostic result

A useful diagnostic record should identify the selected device, its state, the action attempted and the resulting evidence. A connection or an accepted command is one part of that record; a test result still needs the expected behaviour and a clear pass, fail or blocked decision. This is the review approach the project is intended to support.

References & project links

Engineering delivery · automotive validation · digital products

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