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Furthermore, we all have different interests in a given system and different reasons for examining the system 's specifications. A business executive will ask different questions of a system make-up than would a system implementer. The concept of viewpoints framework, therefore, is to provide separate viewpoints into the specification of a given complex system. These viewpoints each satisfy an audience with interest in some set of aspects of the system. Associated with each viewpoint is a viewpoint language that optimizes the vocabulary and presentation for the audience of that viewpoint.

Graphical representation of the current state of information provides a very effective means for presenting information to both users and system developers. Usually, a model is created after conducting an interview, referred to as business analysis. The interview consists of a facilitator asking a series of questions designed to extract required information that describes a process.

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The interviewer is called a facilitator to emphasize that it is the participants who provide the information. The facilitator should have some knowledge of the process of interest, but this is not as important as having a structured methodology by which the questions are asked of the process expert. The methodology is important because usually a team of facilitators is collecting information across the facility and the results of the information from all the interviewers must fit together once completed.

The models are developed as defining either the current state of the process, in which case the final product is called the "as-is" snapshot model, or a collection of ideas of what the process should contain, resulting in a "what-can-be" model. Generation of process and data models can be used to determine if the existing processes and information systems are sound and only need minor modifications or enhancements, or if re-engineering is required as a corrective action.

The creation of business models is more than a way to view or automate your information process. Analysis can be used to fundamentally reshape the way your business or organization conducts its operations.

Computer-aided software engineering CASE , in the field software engineering , is the scientific application of a set of software tools and methods to the development of software which results in high-quality, defect-free, and maintainable software products. The CASE functions include analysis, design, and programming. CASE tools automate methods for designing, documenting, and producing structured computer code in the desired programming language. Typical CASE tools exist for configuration management , data modeling , model transformation , refactoring , source code generation.

An integrated development environment IDE also known as integrated design environment or integrated debugging environment is a software application that provides comprehensive facilities to computer programmers for software development. An IDE normally consists of a:.

IDEs are designed to maximize programmer productivity by providing tight-knit components with similar user interfaces. Typically an IDE is dedicated to a specific programming language , so as to provide a feature set which most closely matches the programming paradigms of the language. A modeling language is any artificial language that can be used to express information or knowledge or systems in a structure that is defined by a consistent set of rules.

The rules are used for interpretation of the meaning of components in the structure. A modeling language can be graphical or textual. Textual modeling languages typically use standardised keywords accompanied by parameters to make computer-interpretable expressions. Not all modeling languages are executable, and for those that are, using them doesn't necessarily mean that programmers are no longer needed. On the contrary, executable modeling languages are intended to amplify the productivity of skilled programmers, so that they can address more difficult problems, such as parallel computing and distributed systems.

A programming paradigm is a fundamental style of computer programming , which is not generally dictated by the project management methodology such as waterfall or agile.

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Paradigms differ in the concepts and abstractions used to represent the elements of a program such as objects, functions, variables, constraints and the steps that comprise a computation such as assignations, evaluation, continuations, data flows. Sometimes the concepts asserted by the paradigm are utilized cooperatively in high-level system architecture design; in other cases, the programming paradigm's scope is limited to the internal structure of a particular program or module. A programming language can support multiple paradigms.

Software designers and programmers decide how to use those paradigm elements. In object-oriented programming , programmers can think of a program as a collection of interacting objects, while in functional programming a program can be thought of as a sequence of stateless function evaluations.

When programming computers or systems with many processors, process-oriented programming allows programmers to think about applications as sets of concurrent processes acting upon logically shared data structures. Just as different groups in software engineering advocate different methodologies , different programming languages advocate different programming paradigms.

Many programming paradigms are as well known for what methods they forbid as for what they enable. For instance, pure functional programming forbids using side-effects ; structured programming forbids using goto statements. Partly for this reason, new paradigms are often regarded as doctrinaire or overly rigid by those accustomed to earlier styles. From Wikipedia, the free encyclopedia. For other uses, see Software development disambiguation. This section does not cite any sources.

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Please help improve this section by adding citations to reliable sources. Unsourced material may be challenged and removed. August Learn how and when to remove this template message. Main articles: Software design and Systems design. This section may need to be rewritten to comply with Wikipedia's quality standards. You can help. The discussion page may contain suggestions.

May Retrieved Morris Software Industry Accounting. In, Lyytinen, K. IT Performance Improvement.

Retrieved 19 October Barkmeyer ea L Loucopoulos and V. Karakostas System Requirements Engineering. Retrieved 26 Oct Robinson In: Computer Software and Applications Conference, Unified Software Engineering with Java. Prentice-Hall, Inc. Software engineering. Computer programming Requirements engineering Software deployment Software design Software maintenance Software testing Systems analysis Formal methods. Data modeling Enterprise architecture Functional specification Modeling language Orthogonality Programming paradigm Software Software archaeology Software architecture Software configuration management Software development methodology Software development process Software quality Software quality assurance Software verification and validation Structured analysis.

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Dijkstra Delores M. Computer science Computer engineering Project management Risk management Systems engineering. Category Commons. Computer science. Computer architecture Embedded system Real-time computing Dependability. Network architecture Network protocol Network components Network scheduler Network performance evaluation Network service. Interpreter Middleware Virtual machine Operating system Software quality. Programming paradigm Programming language Compiler Domain-specific language Modeling language Software framework Integrated development environment Software configuration management Software library Software repository.

That is what it means to be an IT professional. Concluding Remarks: A class should be a two-way learning process. This syllabus describes what I hope you will learn during the term. I also expect to learn from you.

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Modeling is a creative, as well as a disciplined, process. We can all learn from the different ways students represent systems. Please also share pertinent ideas and experiences during the class sessions. Finally, I am always looking for ways to improve the course so if you have any suggestions, please pass them on either in person or anonymously.

Let's have a great term! Strategy Analysis Ch03 Tue Jan 31 4. Investigation Techniques Ch05 Thu Feb 02 4. Investigation Techniques Ch05 Tue Feb 07 4. Investigation Techniques Ch05 Thu Feb 09 5. Consider Perspectives: Root Definitions Ch07 8.

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