Conceptual Modeling in a Computerised World

Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication - IMCOM '18, 2018

Two 1 state-of-the-art languages being used in the field of integrated modeling and management of systems are OMG Systems Modeling Language (SysML) and Object-Process Methodology (OPM). SysML is based on UML 2, a de-facto standard in software engineering. OPM is chartered as ISO/PAS 19450 for system and process modeling. Aspects of these two diverse modeling methodologies have been comparatively analyzed and examined. This paper points to yet another approach that takes a methodology oriented to flow of things to provide an underlying conceptual model on which to construct a fundamental representation of the information or physical system. Adopting a similar analysis technique of comparing SysML and OPM, we examine features of a flow of things orientation based on a concrete sample problem. To demonstrate the feasibility of this methodology in a real environment, we present a case study of an actual IT department of a government ministry, and the results point to the viability of the approach as a foundation for modeling and management of systems. CCS CONCEPTS • Modeling and simulation→Model development and analysis → Modeling methodologies

Lecture Notes in Computer Science, 2012

Conceptual modelling is one of the central activities in Computer Science. Conceptual models are mainly used as intermediate artifact for system construction. They are schematic descriptions of a system, a theory, or a phenomenon of an origin thus forming a model. A conceptual model is a model enhanced by concepts. The process of conceptual modelling is ruled by the purpose of modelling and the models. It is based on a number of modelling acts, on a number of correctness conditions, on modelling principles and postulates, and on paradigms of the background or substance theories. Purposes determine the (surplus) value of a model. Conceptual modelling is performed by a modeller that directs the process based on his/her experience, education, understanding, intention and attitude. Conceptual models are products that are used by other stakeholders such as programmers, learners, business users, and evaluators. Conceptual models use a language as a carrier for the modelling artifact and are restricted by the expressiveness of this carrier. This paper aims at a discussion of a general theory of modelling as a culture and an art. A general theory of modelling also considers modelling as an apprenticeship and as a technology. It is thus an art. Modelling is on of the main elements of Computer Science culture that consists of commonly accepted behaviour patterns, arts, consensus, institutions, and all other supporting means and thoughts.

International Journal of Advanced Computer Science and Applications, 2018

Software design is the most crucial step in the software development process that is why it must be given a good care. Software designers must go through many modeling steps to end up with a good design that will allow for a smooth development process later. For this, designers usually have to choose between two main modeling methodologies: Merise and UML. Both methodologies are widely used; however, each one has its own advantages and disadvantages. This paper combines both techniques and merges their advantages to come up with an approach that would help software designers make the best of both methodologies. This integration mainly targets the software design step in general but can be specifically applied to database design. It presents the weaknesses and strengths of each one of UML and Merise as two techniques used in database modeling and design. Later in this paper, a comparing of UML and Merise diagrams is lead and based on it, the decision on which of the two is the best at each step of the modeling process.

2020

Metamodels define a foundation for describing software system interfaces which can be used during software or data integration processes. The report is part of the BIZYCLE project, which examines applicability of model-based methods, technologies and tools to the large-scale industrial software and data integration scenarios. The developed metamodels are thus part of the overall BIZYCLE process, comprising of semantic, structural, communication, behavior and property analysis, aiming at facilitating and improving standard integration practice. Therefore, the project framework will be briefly introduced first, followed by the detailed metamodel and transformation description as well as motivation/illustration scenarios.

Computing in Civil Engineering (2005), 2005

Conceptual models have been developed for many domains and application types. Within each discipline, the mode and purpose of conveying the design is slightly different. For example, in the computing disciplines, the concept ual models are comprised of constr uct s that enable the domain expert and software engineer to represe nt an application with notations that per mit understa n ding of the application domain and at the same time facilitate the mapping from this concept ualization to the code that implemen t s it. Clear specification of the comput ational model along with the objects, structures, and rules is essential. In the engineering domain statistical and mathe m a tical models are used to permit concise and precise represen ta tion of the application to enable accurate analysis of the characteristics of the objects being modeled as well as an analysis of their perfor m a nce. In the social sciences models utilize diagra m m a tic and verbal notations and attem p t to describe the processes that effectively explain and predict huma n individual and group behaviors. The constr uc ts used are not necessarily tied to compu ta tional or data driven constructs. In this paper we describe a patter n that describes an effective means of operating within a multidisciplinary group to develop a model for a comm o n software prototype develop me n t goal The purpose is to provide a model integration patter n or technique that assists multidisciplinary teams to develop clear, precise and correct software design. Our particular & This researcher is partially supporte d on this project from NSF grant ***** and its REU supple me n t. * This researcher is partially supporte d on this project by NSF REUgrant ****** # These researcher s are partially suppor te d by the URI 3-D Partners hip ***