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"Information quality" is a measure of the value which the information provides to the user of that information. [1] "Quality" is often perceived as subjective and the quality of information can then vary among users and among uses of the information. Nevertheless, a high degree of quality increases its objectivity or at least the ...
Within systems engineering, quality attributes are realized non-functional requirements used to evaluate the performance of a system. These are sometimes named architecture characteristics, or "ilities" after the suffix many of the words share.
Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning".
Information quality management is an information technology (IT) management discipline encompassing elements of quality management, information management and knowledge management. [1] It further encompasses the COBIT information criteria of efficiency, effectiveness, confidentiality, integrity, availability, compliance and reliability.
The quality model presented in the first part of the standard, ISO/IEC 9126-1, [2] classifies software quality in a structured set of characteristics and sub-characteristics as follows: Functionality - "A set of attributes that bear on the existence of a set of functions and their specified properties. The functions are those that satisfy ...
Newer proposals for quality models such as Squale and Quamoco [85] propagate a direct integration of the definition of quality attributes and measurement. By breaking down quality attributes or even defining additional layers, the complex, abstract quality attributes (such as reliability or maintainability) become more manageable and measurable.
3. Celebrate Function, Not Just Form. Your body is more than a sculpture to be admired. It is the vehicle or vessel for your life and through which you may accomplish your dreams.
The Software Engineering Institute recommends Quality Attribute Workshops for this effort. [7] It has been suggested to keep architecture analysis and design lightweight and flexible; quality attribute trees for certain application genres and technology domains can support such approaches. [8]