ISO/IEC 25058 stands as a cornerstone of rigorous software quality engineering. It transforms the often nebulous concept of "software quality" from a matter of opinion into a set of measurable, verifiable, and comparable properties. By providing a detailed framework for specifying quality measures, executing measurements, and applying consistent rating criteria, the standard empowers organisations to evaluate software products with confidence and transparency. While it demands upfront investment in planning and metrology, its benefits in terms of objectivity, traceability, and alignment with stakeholder needs make it an invaluable tool for any serious software engineering organisation. In a digital world where software failures carry increasingly high costs, standards like ISO/IEC 25058 are not merely technical documents—they are essential instruments for accountability and excellence.

Utilize the ISO 25059 model to select appropriate quality characteristics (e.g., accuracy vs. safety) based on the application's risk level. 3. Develop an Evaluation Plan

ISO 25058 is part of a broader, emerging ecosystem of AI governance: Defines terminology and concepts.

: Assessing fault tolerance and the system's ability to recover from errors.

, ISO/IEC TS 25058 serves as a concrete guide rather than a mandatory certification. It is particularly valuable in high-stakes industries such as healthcare (e.g., medical diagnostic logic), automotive (e.g., autonomous driving sensors), and finance. Organizations can use it to define clear acceptance criteria for procurement, design rigorous test cases, and conduct internal audits to foster trust in their AI deployments.

Despite its strengths, ISO/IEC 25058 is not a silver bullet. Implementing it requires discipline and expertise. Defining appropriate quality measures and rating criteria is non-trivial and may be overly prescriptive for small, agile projects with rapidly changing requirements. Furthermore, the standard focuses on product quality evaluation, not the development process. A product could receive a high rating under this standard while being developed using chaotic, unsustainable practices. Therefore, ISO/IEC 25058 is most effective when used in conjunction with process-oriented standards (like ISO/IEC 12207) and project management frameworks.

for integrating these tests into a DevOps pipeline Clarification on the difference between ISO 25058 and 25059 Let me know which area you'd like to explore further. Robustness and Explainability of Artificial Intelligence

Measures the system's ability to maintain performance, fault tolerance, and recovery from errors—critical for self-driving or industrial AI.

This is the planning phase. You must produce an "Evaluation Module." This module links the quality requirements (from ISO 25030) to specific measurements.

The "AI explosion" has created a desperate need for robust algorithms, yet traditional software testing fails to account for the unique risks of machine learning (ML), such as training data bias, adversarial attacks, and non-deterministic outputs. ISO 25058 fills this gap by focusing on: