Model-driven automated software FMEA

Author(s):  
Neal Snooke ◽  
Chris Price
Author(s):  
Gerald C. Gannod ◽  
John T.E. Timm ◽  
Raynette J. Brodie

The Semantic Web promises automated invocation, discovery, and composition of Web services by enhancing services with semantic descriptions. An upper ontology for Web services called OWL-S has been created to provide a mechanism for describing service semantics in a standard, well-defined manner. Unfortunately, the learning curve for semantically-rich description languages such as OWL-S can be steep, especially given the current state of tool support for the language. This chapter describes a suite of automated software tools that we have developed to facilitate the construction of OWL-S specifications. The tools operate in two stages. In the first stage, a Model Driven Architecture technique is used to generate an OWL-S description of a Web service from a UML model. This allows the developer to focus on creating a model of the Web service in a standard UML tool, leveraging existing knowledge. In the second stage, an interactive approach for generating groundings is used. This chapter describes both tools and demonstrates how the use of lightweight interactive tools facilitates creation of OWL-S specifications.


2017 ◽  
Author(s):  
Fawaz Alqahtani ◽  
Fabrizio Messina ◽  
Elzene Kruger ◽  
Heerunpal Gill ◽  
Michael Ellis ◽  
...  

Author(s):  
Priyanka R. Patil ◽  
Shital A. Patil

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.


2009 ◽  
Vol 38 (38) ◽  
pp. 119-130
Author(s):  
Erika Asnina

Use of Business Models within Model Driven Architecture Model Driven Architecture is a framework dedicated for development of large and complex computer systems. It states and implements the principle of architectural separation of concerns. This means that a system can be modeled from three different but related to each other viewpoints. The viewpoint discussed in this paper is a Computation Independent one. MDA specification states that a model that shows a system from this viewpoint is a business model. Taking into account transformations foreseen by MDA, it should be useful for automation of software development processes. This paper discusses an essence of the Computation Independent Model (CIM) and the place of business models in the computation independent modeling. This paper considers four types of business models, namely, SBVR, BPMN, use cases and Topological Functioning Model (TFM). Business persons use SBVR to define business vocabularies and business rules of the existing and planned domains, BPMN to define business processes of both existing and planned domains, and use cases to define business requirements to the planned domain. The TFM is used to define functionality of both existing and planned domains. This paper discusses their capabilities to be used as complete CIMs with formally defined conformity between planned and existing domains.


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