Mimi Balcom Meng

Mimi Balcom Meng

Profile picture for user Mimi Balcom

Member for

6 years 8 months

Mimi Balcom Meng has over twenty years of working experiences as a software engineer, quality engineer, and release engineer. Most of her work is devoted to test automations. Her software testing experiences include testing web applications, middleware and services, databases applications, media applications, software security applications, cloud applications, and server applications. Mimi has worked for large companies, such as IBM and Apple, and small startup companies. Her passion is to build best practices in quality engineering and bring high quality into software development processes, from the start to the end. Connect with her on LinkedIn.

Company
Apple Inc.
Job Function
Development Automation Engineer
Industry
Computer Manufacturer (Hardware, Peripherals, etc)
Interests
Architecture
Artificial Intelligence/Machine Learning (AI/ML)
CI/CD and Containerization
Cloud
Configuration Management
DevOps
Open Source
Performance Testing
Release Management
Software Development
Test Automation
Country
United States

Mimi Balcom Meng has over twenty years of working experiences as a software engineer, quality engineer, and release engineer. Most of her work is devoted to test automations. Her software testing experiences include testing web applications, middleware and services, databases applications, media applications, software security applications, cloud applications, and server applications. Mimi has worked for large companies, such as IBM and Apple, and small startup companies. Her passion is to build best practices in quality engineering and bring high quality into software development processes, from the start to the end. Connect with her on LinkedIn.

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Test engineers analyzing data models Designing Data Models for Self-Documented TestsWhen testing applications, documenting and interpreting test results can be a challenge. Data models enable us to collect and process test data more dynamically and uniformly. To design effective data models for self-documented tests, there are three important things to consider: what to document, collect, and report.