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Spreadsheet risk is the risk associated with deriving a materially incorrect value from a spreadsheet application that will be utilized in making a related (usually numerically based) decision. Examples include the valuation of an asset , the determination of financial accounts , the calculation of medicinal doses, or the size of a load-bearing ...
In software engineering, a software design pattern or design pattern is a general, reusable solution to a commonly occurring problem in many contexts in software design. [1] A design pattern is not a rigid structure that can be transplanted directly into source code. Rather, it is a description or a template for solving a particular type of ...
DADiSP – Combines the numerical capability of MATLAB with a spreadsheet like interface. Javelin; Lotus Improv; Resolver One – a business application development tool that represents spreadsheets as IronPython programs, created and executed in real time and allowing the spreadsheet flow to be fully programmed; Spreadsheet 2000
The operating systems the software can run on natively (without emulation).Android and iOS apps can be optimized for Chromebooks and iPads which run the operating systems ChromeOS and iPadOS respectively, the operating optimizations include things like multitasking capabilities, large and multi-display support, better keyboard and mouse support.
Design Patterns: Elements of Reusable Object-Oriented Software (1994) is a software engineering book describing software design patterns. The book was written by Erich Gamma , Richard Helm , Ralph Johnson , and John Vlissides , with a foreword by Grady Booch .
Software architecture patterns operate at a higher level of abstraction than software design patterns, solving broader system-level challenges. While these patterns typically affect system-level concerns, the distinction between architectural patterns and architectural styles can sometimes be blurry. Examples include Circuit Breaker. [1] [2] [3]
A design pattern is the re-usable form of a solution to a design problem. The idea was introduced by the architect Christopher Alexander [ 1 ] and has been adapted for various other disciplines, particularly software engineering .
Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.