Software Design Sample Clauses

Software Design. Within 30 days from when Consultant receives the necessary information about the Company - which shall include the current software system, software code, software design plan, software design documentation papers and any other information requested by Consultant - Consultant shall provide the Company with an automation engine that shall compute statements all designed in a web-based environment (hereafter "Software Component").

Software Design. The software used to operate the radios shall conform to the Specifications and the manufacturer specifications set forth in Exhibit A-2 to this Schedule A.

Software Design. The first category of risk lies with the software design. In order to be acceptable, the software using Artificial Intelligence mechanisms should be unique and designed by a public body, such as the ICAO, or during a diplomatic conference. This would avoid disputes over the nature of the algorithm used, given that, as explained by Xxxxxx van den Xxxxxxx, algo- rithms are opinions integrated into code.84 It would also guarantee that the algorithm was publicly known, with the consequence that its application could be verified at any time in order to detect any possible corruption.85 Therefore, to avoid these risks, each State would have to play three active roles in this process.

Software Design. Software will be designed and developed by the contractor. The contractor shall analyze the reuse of the Army Long Range Targeting and Acquisition System (LRATS) Training and Maintenance System (TAMS). The contractor shall report on the percent of code they were able to reuse by module. The contractor shall report on the percent of Army TAMS code that must be modified. If the projected percent of Army TAMS code that must be modified is greater than 20 percent, the contactor must justify the use of the old code. There will be four (4) major sub-systems of JTAMS as follows:

Software Design. Processes for designing software systems have undergone significant changes over the past four decades as computer hardware has become more powerful and versatile and the problems sought to be addressed have become more complex. Managing the complexity of large-scale software projects— for example, computer operating systems, avionics (programs to fly large commercial airplanes), robotics, spacecraft simulation, telecommunications, air traffic control— entails significant technological creativity. Programmers have traditionally sought to divide complex problems into component parts and to solve each component separately. This procedure-oriented, “functional decomposition,” or “top down” methodology served as the dominant paradigm for software design through at least the mid-1980s, and it continues to be widely used in solving some classes of problems. The programmer begins with a general description of the functions that a program is to perform. The programmer then outlines the program, specifying data structures and algorithms to be used. Such outlines are frequently expressed as flowcharts showing the relationship among the various modules or subroutines of the program. These modules are then separately further broken down until the full logic of the program can be spelled out. While conceptually logical, the classical design methodology has become increasingly problematic as the complexity, scale, and need for updating of software projects has grown. The many parts of very large software systems often interact in a multitude of intricate and subtle ways. Classical top-down designs often require significant redundancies and are difficult to evolve. Programmers must typically build programs from scratch, often requiring re-invention of many components. This contrasts with other engineering disciplines, which typically reuse existing components. Such reuse can reduce design, testing, and other costs. In addition, top-down procedural techniques typically define data structures in one place. Various subroutines refer back to this single location. While this approach offers some efficiencies, it can lead to problems when the program is updated or revised. Whenever a data structure is revised, all subroutines or modules drawing upon that data structure must be suitably altered as well, which can cause a domino effect. As a result of these limitations of classical programming methodologies, which tend to become more acute as systems grow large, computer scienti...

Software Design. Software design documentation shall be provided for each function before the FAT (subsequent changes to be incorporated in as-built documentation). It shall include detailed descriptions of the following items: The overall organization and architecture of the software logic such as a breakout of the software into software modules. Mathematical algorithms and formulae. Complete description of the algorithms, operation and the data and logic interfaces with other functions. Data dictionary in which the following (as applicable) information for each data item in tables, file, and array is provided: (1) Name (2) Purpose, (3) Location, (4) Length of data item, and (5) Initialization. Databases internal and external to the software, along with a description of all inputs required and the output produced by the software modules. Interfaces with other software modules. Design limitations such as field length and the maximum quantity of data items that can be processed.

Software Design. Systems programming;

Software Design. G.1.1. Description NMAAI will facilitate meetings to confirm project requirements, project goals, develop a schedule and review technical details. It is important that the City uses these meetings to evaluate and plan for process changes in order to fully realize the benefits of the ChoiceConnect Fixed Network (CCFN) system.

Software Design. All written and oral information and materials disclosed or provided by the Inventor to the Leesee under this Agreement is Software Design regardless of whether it was provided before or after the date of this Agreement or how it was provided to the Leesee.

Software Design. 11.1.1. Conduct architecture design review using Agile principles 11.1.1.1. Tech specs 11.1.1.2. Physical class models 11.1.1.3. Physical data model