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.