How to Use the Windows Mobile API Usage Tool — Step-by-Step Guide

How to Use the Windows Mobile API Usage Tool — Step-by-Step Guide

Overview

The Windows Mobile API Usage Tool helps developers inspect, test, and measure API calls made by Windows Mobile applications. This guide walks you through installing the tool, configuring it, capturing API usage, analyzing results, and exporting findings.

Prerequisites

• A development machine running Windows with administrative privileges.
• Visual Studio (recommended) or Windows Mobile SDK installed.
• The Windows Mobile API Usage Tool installer or package.
• Target device or emulator configured and connected.

1. Install the tool

1. Run the installer package and accept prompts.
2. Choose an installation folder (default is fine).
3. If prompted, install required dependencies (runtime libraries, drivers).
4. Reboot if the installer requests it.

2. Configure the environment

1. Connect device: Attach your physical device via USB or start the emulator.
2. Enable debugging: On device/emulator, enable developer mode and remote debugging if required.
3. Set permissions: Run the tool with administrative rights to allow low-level tracing.
4. Select SDK path: In tool settings, point to your Windows Mobile SDK and Visual Studio installation if asked.

3. Create a new capture session

1. Open the Windows Mobile API Usage Tool.
2. Click New Session or Start Capture.
3. Enter a session name and optional description.
4. Select the target (device or emulator).
5. Choose capture scope:
   • System-wide: captures all API calls.
   • Process-only: specify a process/executable to focus the trace.

4. Configure capture options

1. Filter APIs: Add include/exclude filters (DLL names, API names, or namespaces) to reduce noise.
2. Sampling rate: For performance-sensitive targets, use sampling mode to reduce overhead.
3. Buffer size & rollover: Increase buffer size for long sessions; enable file rollover to avoid data loss.
4. Timestamps & thread info: Enable full timestamps and thread/process IDs for better correlation.
5. Event types: Choose to capture function entry/exit, parameters, return values, and exceptions.

5. Start capture and reproduce scenario

1. Click Start to begin tracing.
2. Perform the actions in your app that exercise the APIs you want to analyze (login flows, background tasks, network calls, etc.).
3. Monitor live metrics if the tool provides CPU, memory, or API call rate charts.
4. Click Stop when done.

6. Review captured data

1. Overview timeline: Use the timeline view to find high-activity periods.
2. Call list: Browse captured API calls grouped by process, thread, or DLL.
3. Search & filter: Use text search and filters to find specific APIs or error codes.
4. Call details: Select a call to see parameters, return values, stack trace, and timing.
5. Aggregate statistics: Look for the most-called APIs, slowest calls (p99/p95), and total time spent per API.

7. Analyze results & identify issues

1. Performance hotspots: Identify APIs with high cumulative time or frequency.
2. Incorrect usage patterns: Look for synchronous calls used on UI thread, repeated initialization, or unnecessary polling.
3. Error patterns: Search for common failure return codes and exceptions.
4. Memory or resource leaks: Correlate API calls that allocate resources without matching cleanup calls.
5. Security: Check for insecure API usage (plain-text network calls, deprecated cryptography APIs).

8. Exporting and reporting

1. Export raw capture to supported formats (ETL, CSV, JSON) for sharing or further analysis.
2. Generate summary reports highlighting top APIs, slow calls, and recommended fixes.
3. Include screenshots, timeline snippets, and annotated call stacks in your report.

9. Automating captures (optional)

1. Use command-line interface (if available) to script captures for CI.
2. Schedule captures on emulators for nightly performance regression tests.
3. Combine with unit/integration tests to collect API usage during automated runs.

10. Best practices

• Use focused filters to limit noise and overhead.
• Reproduce realistic user scenarios for meaningful data.
• Keep capture sessions short when testing on physical devices to reduce battery and performance impact.
• Correlate API traces with logs and telemetry for broader context.
• Regularly compare traces before/after code changes to catch regressions.

Troubleshooting

• If no data appears: verify device connection, enable debugging, and run as admin.
• If overhead is high: switch to sampling mode or narrow filters.
• If timestamps or stacks are missing: ensure symbol paths are configured correctly and debuggable builds are used.

Quick checklist

• Install tool and dependencies
• Connect device/emulator and enable debugging
• Configure filters, buffer, and event types
• Start capture and reproduce scenario
• Stop capture and analyze hotspots
• Export results and create report

This step-by-step guide should let you capture, analyze, and act on Windows Mobile API usage effectively.