Explore data sanitization techniques and discover how proper sanitization improves test accuracy, protects privacy, and supports secure software development.

Ensuring that components (parts) are free from contamination is becoming increasingly important in the medical device industry. Problems caused by inadequate or improper cleaning can harm patients and ...

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 ...

Test data manage­ment (TDM) refers to the process of creating, main­taining, and using test data to validate the functionality of an application. TDM is a critical aspect of the testing process, as it ...

Microprocessor testing and self-test techniques constitute a critical domain in ensuring the reliability and performance of modern computing devices. These methodologies encompass both hardware and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

ASTM published Standard E3499-25 for PIP testing, enabling faster mechanical property analysis in regulated manufacturing applications ...

If you would like to learn more about the IAEA’s work, sign up for our weekly updates containing our most important news, multimedia and more. The IAEA is calling on interested research institutes to ...

Can there be such a thing as too much data in the semiconductor and electronics manufacturing process? The answer is, it depends. An estimated 80% or more of the data collected across the ...