Programutveckling och systemdokumentation

ISO/IEC/IEEE 29119-5:2016 defines an efficient and consistent solution for Keyword-Driven Testing by:

giving an introduction to Keyword-Driven Testing;

providing a reference approach to implement Keyword-Driven Testing;

defining requirements on frameworks for Keyword-Driven Testing to enable testers to share their work items, such as test cases, test data, keywords, or complete test specifications;

defining requirements for tools that support Keyword-Driven Testing. These requirements could apply to any tool that supports the Keyword-Driven approach (e.g., test automation, test design and test management tools);

defining interfaces and a common data exchange format to ensure that tools from different vendors can exchange their data (e.g. test cases, test data and test results);

defining levels of hierarchical keywords, and advising use of hierarchical keywords. This includes describing specific types of keywords (e.g. keywords for navigation or for checking a value) and when to use "flat" structured keywords;

providing an initial list of example generic technical (low-level) keywords, such as "inputData" or "checkValue". These keywords can be used to specify test cases on a technical level, and may be combined to create business-level keywords as required.

NOTE This standard is applicable to all those who want to create keyword-driven test specifications, create corresponding frameworks, or build test automation based on keywords.

This standard specifies a set of definitions, rules, and steps for applying a non-functional size measurement method and provides guideline and examples of how to use the size measurements in software projects

This document outlines a quality model for AI systems and is an application-specific extension to the SQuaRE series. The characteristics and sub-characteristics detailed in the model provide consistent terminology for specifying, measuring and evaluating AI system quality. The characteristics and sub-characteristics detailed in the model also provide a set of quality characteristics against which stated quality requirements can be compared for completeness.