The terms QA (Quality Assurance) and QC (Quality Control) have gained significance in the realm of software development as approaches focused on ensuring quality. However, it's still common for them to be used inaccurately or be ambiguous for many involved in QA manager tasks.
QA and QC are both part of quality management and are also interconnected. Nevertheless, they differ in the objective they aim to achieve and how they strive to accomplish it.
Put simply, it could be said that Quality Assurance is more overarching and encompasses Quality Control. However, there are other differences between the two terms that are worth understanding before implementing quality processes. We'll explain them to you.
From the previous definitions, some fundamental differences between QA and QC appear:
These distinctions highlight the contrasting nature of QA and QC in their respective goals and approaches to achieving quality assurance.
With the growing importance of ensuring process and service quality, tools to assist companies in their QA and QC processes are growing in number and possibilities. In this context, there are numerous tools available to automate software quality processes. However, icaria Technology wants to highlight an often overlooked aspect: obtaining quality data for QA and QC.
Given legal obligations related to data protection, the right to erasure, and the serious consequences of GDPR non-compliance, companies frequently face the challenge of accessing quality data that is also used in accordance with the law.
GDPR software is designed to enable companies to fulfill legal requirements in various actions related to QA and QC.
It's important to note that QA and QC take place in development and testing environments, which are also subject to data privacy legal obligations. Therefore, Test Data Management (TDM) software is aimed at providing companies with test data in such production-like environments while complying with GDPR obligations.
This kind of tool manages test data, its lifecycle, dissociation, and consistent delivery in pre-production environments and re-deliveries. Here, the concept of data quality comes into play: companies gain access to accurate, complete, consistent, reliable, up-to-date, and ultimately legal data.Do you want to learn more about how GDPR software can help you optimize these processes? icaria Technology can assist you. Get in touch with us and speak with our team.