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Business analysis is a professional discipline [1] focused on identifying business needs and determining solutions to business problems. [2] Solutions may include a software-systems development component, process improvements, or organizational changes, and may involve extensive analysis, strategic planning and policy development.
The repertory grid is a technique for identifying the ways that a person construes (interprets or gives meaning to) his or her experience. [4] It provides information from which inferences about personality can be made, but it is not a personality test in the conventional sense.
In computer science, software is typically divided into two types: high-level end-user applications software (such as word processors, databases, video games, etc.), and low-level systems software (such as operating systems, hardware drivers, firmwares, etc.). As such, high-level applications typically rely on low-level applications to function.
For example, a business plan for a non-profit might discuss the fit between the business plan and the organization's mission. Banks are quite concerned about defaults, so a business plan for a bank loan will build a convincing case for the organization's ability to repay the loan.
It establishes a permanent corrective action based on statistical analysis of the problem and on the origin of the problem by determining the root causes. Although it originally comprised eight stages, or 'disciplines', it was later augmented by an initial planning stage. 8D follows the logic of the PDCA cycle. The disciplines are:
Software analytics is the analytics specific to the domain of software systems taking into account source code, static and dynamic characteristics (e.g., software metrics) as well as related processes of their development and evolution.
Object-oriented analysis and design (OOAD) is a technical approach for analyzing and designing an application, system, or business by applying object-oriented programming, as well as using visual modeling throughout the software development process to guide stakeholder communication and product quality.
In cognitive psychology, information processing is an approach to the goal of understanding human thinking that treats cognition as essentially computational in nature, with the mind being the software and the brain being the hardware. [1] It arose in the 1940s and 1950s, after World War II. [2]