IEEE STD 1320.1 PDF

RECIPIENTS OF THIS DRAFT ARE INVITED TO. SUBMIT, WITH THEIR COMMENTS, NOTIFICATION. OF ANY RELEVANT PATENT RIGHTS OF WHICH. IEEE Std (R). IEEE Standard for Conceptual Modeling. Language Syntax and Semantics for. IDEF1X. 97 (IDEFobject). Find the most up-to-date version of IEEE at Engineering

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These “definition languages” were developed under funding from U. Air Force and although still most commonly used by them, as well as other military and United States Department of Defense DoD agencies, are in the public domain. WisnoskyDan L. The subsequent Integrated Information Support System IISS project priorities, and attempted to create an information processing environment that could be run in heterogeneous physical computing environments. Further development of IDEF occurred under those projects as iee result of the experience gained from applications of the new modeling techniques.

The intent of the IISS efforts was to create ‘generic subsystems’ that could be used by a large number of collaborating enterprises, such as U. The relational data model was just emerging 1320. a promising way of thinking about structuring data for easy, efficient, and accurate access.

Relational database management systems had not yet emerged as a general standard for data management. The ICAM program office deemed it valuable to create a “neutral” way of describing the data content of large-scale systems. The emerging academic literature suggested that methods were needed to process syd independently 132.1 the way it was physically stored. Thus the IDEF1 language was created to allow a neutral description of data structures that could be applied regardless of the storage method or file access method.

Rockwell chose not to pursue IMS as a marketable product but IBMwhich had served as a support contractor during development, subsequently took over the product and was successful in further developing it for market. The two Hughes’ researchers built on ideas from and interactions with many luminaries in the field at the time. In particular, IDEF1 draws on the following techniques:. The effort to develop IDEF1 resulted in both a new method for information modeling ueee an example of its use in the form of a “reference information model of manufacturing.

Coleman of the D. Experience with IDEF1 revealed that the translation of information requirements into database designs xtd more difficult than had originally been anticipated.

The most beneficial value of the IDEF1 information modeling technique was its ability to represent data independent of how those data were to be stored and used. It provided data modelers and data analysts with a way to represent data requirements during the requirements-gathering process.

This allowed designers to decide which DBMS to use after the nature of the data requirements was understood and thus reduced the “misfit” between data requirements and the capabilities and limitations of the DBMS. The translation of IDEF1 models to database designs, however, proved to be difficult.

The IDEF0 functional modeling method is designed to model the decisions, actions, and activities of an organization or system. Ross and SofTech, Inc. In its original form, IDEF0 includes both a definition of a graphical modeling language syntax and semantics and a description of a comprehensive methodology for developing models.

IDEF0 should assist in organizing system analysis and promote effective communication between the analyst and the customer through simplified graphical devices. LDDT combined elements of the relational data model, the E-R model, and generalization in a way specifically intended to support data modeling and the transformation of the data models into database designs.

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Because the IDEF program was funded by the government, the techniques are in the public domain. The IISS projects actually produced working prototypes of an information processing environment that would run in heterogeneous computing environments. Current advancements in such techniques as Java and JDBC are now achieving the goals of ubiquity and versatility across computing environments which was first demonstrated by IISS.

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However, since the Integrated Computer-Aided Manufacturing ICAM program needed a simulation modeling tool, the resulting IDEF2 was a method for representing the time varying behavior of resources in a manufacturing system, providing a framework for specification of math model based simulations. It was the intent of the methodology program within ICAM to rectify this situation but limitation of funding did not allow this to happen.

As a result, the lack of a method which would support the structuring of descriptions of the user view of a system has been a major shortcoming of the IDEF system. The basic problem from a methodology point of view is the need to distinguish between a description of what a system existing or proposed is supposed to do and a representative simulation model that will predict what a system will do.

The development of IDEF4 came from the recognition that the modularity, maintainability and code reusability that results from the object-oriented programming paradigm can be realized in traditional data processing applications. The proven ability of the object-oriented programming paradigm to support data level integration in large complex distributed systems is also a major factor in the widespread interest in this technology from the traditional data processing community.

Since effective usage of the object-oriented paradigm requires a different thought process than used with conventional procedural or database languagesstandard methodologies such as structure charts iese, data flow diagramsand traditional data design models hierarchical, relational, and network are not sufficient. IDEF4 seeks to provide the necessary facilities to support the object-oriented design decision making process.

IDEF5or integrated definition for ontology description capture methodis a software engineering method to develop and maintain usable, accurate, domain ontologies.

IDEF – Wikipedia

In addition, ontology capture helps coordinate projects by standardizing terminology and creates opportunities for information reuse. The IDEF5 Ontology Capture Method has been developed to reliably construct ontologies in a way that closely reflects human understanding of the specific domain. In the IDEF5 method, an ontology is constructed by capturing the content of certain assertions about real-world objects, their properties and their interrelationships, and representing that content in an intuitive and natural form.

The IDEF5 method has three main iefe A graphical language to support conceptual ontology analysis, a structured text language for detailed ontology characterization, and a systematic procedure shd provides guidelines for effective ontology capture.

IDEF6or integrated definition for design rationale captureis a method to facilitate the acquisition, representation, and manipulation of the design rationale used in the development of enterprise systems. Rationale is the 13220.1, justification, underlying motivation, or excuse that moved the designer to select a particular strategy or design feature.

IDEF6 will be a method that possesses the conceptual resources and linguistic capabilities needed. IDEF6 is applicable to all phases of the information system development process, from initial conceptualization through both preliminary and detailed design activities.

To the extent that detailed design decisions for software 13200.1 are relegated stc the coding phase, the IDEF6 technique should be usable during the software construction process as well.

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IDEF8, or integrated definition for human-system interaction designis a method for producing high-quality designs of interactions between users and the systems they operate. Systems are characterized as a collection of objects that perform functions to accomplish ieeee particular goal. The system with which the user interacts can be any system, not necessarily a computer program.

Human-system interactions are designed at three levels of specification within the IDEF8 method.

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The ueee level defines the philosophy of system operation and produces a set iee models and textual descriptions of overall system processes. The second level of design specifies role-centered scenarios of system use. The third level of IDEF8 design is for human-system design detailing. At this level of design, IDEF8 provides a library of metaphors to help users and designers specify the desired behavior in terms of other objects whose behavior is more familiar.

Metaphors provide a model of abstract concepts in terms of familiar, concrete objects and experiences. IDEF9, or integrated definition for business constraint discoveryis designed to assist in the discovery and analysis of constraints in a business system.

A primary motivation driving the development of IDEF9 was an acknowledgment that the collection of constraints that forge an enterprise system is generally poorly defined. The knowledge of what constraints exist and how those constraints interact is incomplete, disjoint, distributed, and often completely unknown.

This situation is not necessarily alarming. Just as living organisms do not need to be aware of the genetic or autonomous constraints that govern certain behaviors, organizations can and most do perform well without explicit knowledge of the glue that structures the system.

In order to modify business in a predictable manner, however, the knowledge of these constraints is as critical as knowledge of genetics is to the iee engineer. IDEF14, or integrated definition for network design methodis a method that targets the modeling and design of computer and communication networks. Iese can be used to model existing “as is” or envisioned “to be” networks. It helps the network designer to investigate potential network designs and to document design rationale.

The fundamental goals of the IDEF14 research project developed from a perceived need for good network designs that can be implemented quickly and accurately. From Wikipedia, the free encyclopedia. For the defense fair, see International Defence Industry Fair. Oeee et al. Software Technology Support Center.

Accessed 20 Jan Knowledge Based Systems, Inc. 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 isee Software development process Software quality Software quality assurance Software verification and wtd Structured analysis.

Computer science Computer engineering Project management Risk management Systems engineering. Retrieved from ” https: Data modeling Scientific modeling Standards Systems engineering Modeling languages.

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