Search results
Results from the WOW.Com Content Network
Data-driven testing is the creation of test scripts to run together with their related data sets in a framework. The framework provides re-usable test logic to reduce maintenance and improve test coverage. Input and result (test criteria) data values can be stored in one or more central data sources or databases, the actual format, organization ...
Thematic analysis is one of the most common forms of analysis within qualitative research. [1][2] It emphasizes identifying, analysing and interpreting patterns of meaning (or "themes") within qualitative data. [1] Thematic analysis is often understood as a method or technique in contrast to most other qualitative analytic approaches – such ...
Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]
Keyword-driven testing, also known as action word based testing (not to be confused with action driven testing), is a software testing methodology suitable for both manual and automated testing. This method separates the documentation of test cases – including both the data and functionality to use – from the prescription of the way the ...
In computer programming, data-driven programming is a programming paradigm in which the program statements describe the data to be matched and the processing required rather than defining a sequence of steps to be taken. [1] Standard examples of data-driven languages are the text-processing languages sed and AWK, [1] and the document ...
In the context of product development, data thinking is a framework to explore, design, develop and validate data-driven solutions. Data thinking combines data science with design thinking and therefore, the focus of this approach includes user experience as well as data analytics and data collection. [2][3][4][5] Data thinking is a mindset ...
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
DIKW pyramid: Each step up the pyramid creates value based on the initial data, and can be used to answer high-level questions. The DIKW pyramid, also known variously as the DIKW hierarchy, wisdom hierarchy, knowledge hierarchy, information hierarchy, information pyramid, and the data pyramid, [1] refers to a class of models [2] representing purported structural or functional relationships ...