BS ISO/IEC 25024:2015 pdf download-Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Measurement of data quality.
4? Terms? and? definitions For the purposes of this document, the terms and definitions given in ISO/IEC 25000, ISO/IEC 25012, ISO/IEC 25021, and the following apply. NOTE The essential definitions from ISO/IEC 25000 SQuaRE series and the other ISO standards are reproduced here. 4.1 architecture <system> fundamental concepts or properties of a system in its environment embodied in its elements (4.19), relationships, and in the principles of its design and evolution [SOURCE: ISO/IEC 42010:2011] Note 1 to entry: In this International Standard, the term “architecture” is intended as “architecture of data”, a particular view of the architecture being the work products considered expression of the perspective of a specific system that concerns data (4.5). Architecture of data includes architecture elements such as contextual schema (4.4), conceptual, logical, physical data models, data dictionary (4.6), and documents. In practice architecture of data and data modelling, from the beginning of software engineering, have many levels, such as external model (view), conceptual, and physical (see ANSI/X3/SPARK Three Level Architecture, 1975). Note 2 to entry: The term “environment” is used in ISO/IEC 42010 to refer (system) context determining the setting and circumstances of all influences upon a system that includes developmental, technological, business, operational, organizational, political, economic, legal, regulatory, ecological, and social influences (in this International Standard, the (system) context, where data models (4.10) are applied, can be represented by the contextual schema (4.4)). Note 3 to entry: In ISO/IEC 42010, 4.2.4, Note 1, “the architecture of a system is a holistic conception of that system’s fundamental properties best understood via multiple views of that architecture”. 4.2 attribute inherent property or characteristic of a target entity (4.36) that can be distinguished quantitatively or qualitatively by human or automated means [SOURCE: ISO/IEC 25000:2014]
4.3 computer system system containing one or more components and elements (4.19) such as computers (hardware), associated software, and data (4.5) 4.4 contextual schema formal description of the boundary of the context of use where data models (4.10) are applied Note 1 to entry: It is a high-level description of the business’ informational needs. It is more general than a conceptual model (see Note 1 in 4.10) as it includes a holistic vision of a (system) context of the architecture (4.1). 4.5 data reinterpretable representation of information in a formalized manner suitable for communication, interpretation, or processing Note 1 to entry: Data can be processed by humans or by automatic means.