What is ISO-TS 25135:2017?

ISO-TS 25135:2017 is an international standard that provides guidelines and requirements for the development, evaluation, and selection of statistical software. It aims to ensure the quality, reliability, and safety of these software applications used in statistical analysis.

The Importance of ISO-TS 25135:2017

ISO-TS 25135:2017 plays a crucial role in various fields where statistical analysis is essential. It helps organizations and individuals maintain consistency and accuracy in their data analysis processes. By following this standard, statisticians and data analysts can be confident in the reliability of the software they are using and the results they obtain.

The importance of ISO-TS 25135:2017 goes beyond ensuring data integrity. It also promotes interoperability and compatibility across different software platforms, making it easier to exchange data and collaborate with others. This standard sets a benchmark for statistical software quality, allowing users to make informed decisions when selecting software tools for their specific needs.

The key components of ISO-TS 25135:2017

ISO-TS 25135:2017 consists of several key components that define its principles and requirements for statistical software:

Development Process: The standard outlines the necessary steps and procedures for developing statistical software, including documentation, testing, and verification.

Quality Requirements: It specifies the quality attributes that statistical software should possess, such as accuracy, reliability, usability, and efficiency.

Evaluation Criteria: ISO-TS 25135:2017 provides criteria and methods for evaluating the performance and functionality of statistical software.

Selection Guidelines: The standard offers guidance on how to select statistical software, taking into account factors such as user requirements, compatibility, and scalability.

Overall, ISO-TS 25135:2017 sets a framework for ensuring the quality and reliability of statistical software, benefiting organizations, researchers, and data analysts worldwide.