Why Data Quality Should Start At The Beginning, Not The End

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...
Semiconductor Engineering

IC Test And Quality Requirements Drive New Collaboration

Rapidly increasing chip and package complexity, coupled with an incessant demand for more reliability, has triggered a frenzy of alliances and working relationships that are starting to redefine how ...
International Monetary Fund

Data Quality Assessment Framework and Data Quality Program

1. The Data Quality Assessment Framework (DQAF) was developed to address the Executive Board's interest in data quality as expressed during the December 1997 discussion of the Progress Report on the ...
Computer Weekly

Gartner: Steps to improving test data management

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...
EDN

Test Data Management in Automation Framework: Everything You Should Know

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...
Forbes

Platform Thinking In Quality Engineering: Building Scalable, Self-Service Test Ecosystems

In today’s digital economy, engineering leaders face a paradox. Businesses are demanding faster releases, but at the same time, customers and regulators are insisting on higher reliability than ever ...