IBM Rational Unified Process. The Rational Unified Process (RUP) is an iterative software development process framework created by the Rational Software Corporation, a division of IBM since 2003.[1] RUP is not a single concrete prescriptive process, but rather an adaptable process framework, intended to be tailored by the development organizations and software project teams that will select the elements of the process that are appropriate for their needs.
RUP is a specific implementation of the Unified Process. History[edit] Combining the experience base of companies led to the articulation of six best practices for modern software engineering: Develop iteratively, with risk as the primary iteration driver[2]Manage requirementsEmploy a component-based architectureModel software visuallyContinuously verify qualityControl changes a tailorable process that guided developmenttools that automated the application of that processservices that accelerated adoption of both the process and the tools. RUP building blocks[edit] Siebel Essentials: Installing a Siebel CRM Demo Environment - Part 1. In the younger past, I got a lot of questions from people who wanted to install a Siebel CRM Demo (or sample) environment on their laptops "to play around with it", "to find out how it works" or even "to explore standard functionality".
Most of them had a hard time with the first steps and felt somehow discouraged or even frustrated at the task. Having a Siebel application along with the Siebel Sample Database at hand without being dependent on server-side installations is a good thing for all people (business analysts, solution architects, developers,...) who are involved in a Siebel project. In this mini-series, I would like to point out the most important steps to install the following (for Siebel Industry Applications (SIA) 8.1.1): Siebel Mobile/Developer Web ClientSiebel Sample DatabaseSiebel Tools I put in a little more effort here than just saying "Ok dude, download the stuff and run the setup... ". So this is the process we're going to discuss: So let's get it on... 1. 2. 3. 4. 5. 6.
Android. Artificial Intelligence. Im-dev1703. Software architecture. Software architecture is the high level structure of a software system, the discipline of creating such structures, and the documentation of these structures. It is the set of structures needed to reason about the software system, and comprises the software elements, the relations between them, and the properties of both elements and relations.[1] The architecture of a software system is a metaphor, analogous to the architecture of a building.[2] Software architecture choices include specific structural options from possibilities in the design of software.
For example, the systems that controlled the space shuttle launch vehicle have the requirement of being very fast, and very reliable, in principle. Therefore an appropriate real-time computing language would be chosen. Similarly, multiple redundant independently produced copies of a program running on independent hardware and cross-checking results would be a software system architecture choice to satisfy the need for reliability. Software architectural model. An architectural model (in software) is a rich and rigorous diagram, created using available standards, in which the primary concern is to illustrate a specific set of tradeoffs inherent in the structure and design of a system or ecosystem.
Software architects use architectural models to communicate with others and seek peer feedback. An architectural model is an expression of a viewpoint in software architecture. Some key elements in software architectural model are: rich: for the viewpoint in question, there should be sufficient information to describe the area in detail. The information should not be lacking or vague. References[edit] External links[edit] See also[edit] Service-oriented modeling framework (SOMF) Component-based software engineering. An example of two components expressed in UML 2.0. The checkout component, responsible for facilitating the customer's order, requires the card processing component to charge the customer's credit/debit card (functionality that the latter provides).
Component-based software engineering (CBSE) (also known as component-based development (CBD)) is a branch of software engineering that emphasizes the separation of concerns in respect of the wide-ranging functionality available throughout a given software system. It is a reuse-based approach to defining, implementing and composing loosely coupled independent components into systems. This practice aims to bring about an equally wide-ranging degree of benefits in both the short-term and the long-term for the software itself and for organizations that sponsor such software. Software engineering practitioners regard components as part of the starting platform for service-orientation. Definition and characteristics of components[edit] History[edit]
Rhinoceros. Manufacturing. Knowledge Management. Ontology (information science) - Wikipedia, the free encyclopedi. In computer science and information science, an ontology formally represents knowledge as a hierarchy of concepts within a domain, using a shared vocabulary to denote the types, properties and interrelationships of those concepts.[1][2] Ontologies are the structural frameworks for organizing information and are used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it.
The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework. The term ontology has its origin in philosophy and has been applied in many different ways. The word element onto- comes from the Greek ὤν, ὄντος, ("being", "that which is"), present participle of the verb εἰμί ("be"). According to Gruber (1993): Common components of ontologies include: OWL Web Ontology Language Overview. W3C Recommendation 10 February 2004 New Version Available: OWL 2 (Document Status Update, 12 November 2009) The OWL Working Group has produced a W3C Recommendation for a new version of OWL which adds features to this 2004 version, while remaining compatible. Please see OWL 2 Document Overview for an introduction to OWL 2 and a guide to the OWL 2 document set.
This version: Latest version: Previous version: Editors: Deborah L. Frank van Harmelen (Vrije Universiteit, Amsterdam) Frank.van.Harmelen@cs.vu.nl Please refer to the errata for this document, which may include some normative corrections. See also translations. Copyright © 2004 W3C® (MIT, ERCIM, Keio), All Rights Reserved. Abstract The OWL Web Ontology Language is designed for use by applications that need to process the content of information instead of just presenting information to humans. 1. 2. 3.