Data Flow Analysis and Design

Network teaching is to use computer equipment and Internet technology in the virtual space, through a certain method to implement the teaching method on the network, the perfection of the network teaching system can directly replace the traditional teaching method in the whole process of teaching. In order to solve the problem of system development, this paper carries out the demand analysis. First, the use of data flow graph technology, depicting information flow and data from the input to the output of the process of transformation; and then, the use of data dictionary technology, defining the relevant elements of the data flow diagram; finally, the use of tree structure diagram is represented by the administrator subsystem, teacher subsystem and student subsystem structure of the system. The requirement analysis system design the bridge of analysis and software, has laid a foundation for the system development.

Current commercialized PDM tools have drawbacks in representing a variety of data types such as CAD data, images, audio, long text, etc. by relational data modeling. For this reason, object-oriented approaches have been suggested as an alternative. In this paper, using the object-oriented paradigm, an object-oriented data model for the PDM system is proposed. The scope of the modeling is limited to management information for drawings, parts, and product structure. Rumbaugh’s OMT (Object Modeling Technique) has been adopted for the system design. In the modeling, classes of data vault and workspace are taken into account for the review or approval of drawings and parts data based on the concurrent engineering concept. For parts and corresponding product structure, classes of phantoms, options, substitutes, etc. are added to the model. In addition, state transition and data flow diagrams are suggested based on the analysis of work and data flows of drawings and parts.KeywordsPDMobject-oriented modelingOMTconcurrent engineering

Analysis and mapping of national data flows and processes relevant to EFSA's business data collections is a long‐standing EFSA objective, originally launched with EFSA's SIGMA project in 2018‐2019 and further continued with the launch of a focused activity to “Develop, pilot and document a methodology for the data flow mapping and analysis in the European Member States” in 2023. The aim of latter activity is to apply a generic methodology for the analysis of any business data collection at Member State level with the ultimate purpose for countries and EFSA to increase understanding of data flows at national level, where existing challenges rely on and what common solutions could be implemented. This report presents results from the execution of the aforementioned methodology on Norway for the analysis of national data flows which contribute data to Food Consumption business data collection. The report contains information on the steps, participant organizations and actors, tools, systems, formats, structural and content metadata, as well as challenges and “pain points” identified in the country's internal data flows related to the collection of the selected data. The presented information has been generated based on the responses submitted by the participating Member State to a survey developed in the context of the data flow mapping and analysis methodology as well as relevant discussions held in a post‐survey interview with the country. Though the information presented on the current report represents real‐world data, it must be clarified that the survey and the follow‐up interview with the MS, have been both performed during the activity of the Data Flow Mapping methodology.

The analysis and exploration of complex data sets are common problems in many areas, including scientific and business domains. This need has led to substantial development of the data visualization field. In this paper, we present VMetaFlow, a graphical meta-framework to design interactive and coordinated views applications for data visualization. Our meta-framework is based on data flow diagrams since they have proved their value in simplifying the design of data visualizations. VMetaFlow operates as an abstraction layer that encapsulates and interconnects visualization frameworks in a web-based environment, providing them with interoperability mechanisms. The only requirement is that the visualization framework must be accessible through a JavaScript API. We propose a novel data flow model that allows users to define both interactions between multiple data views and how the data flows between visualization and data processing modules. In contrast with previous data-flow-based frameworks for visualization, we separate the view interactions from data items, broadening the expressiveness of our model and supporting the most common types of multi-view interactions. Our meta-framework allows visualization and data analysis experts to focus their efforts on creating data representations and transformations for their applications, whereas nonexperts can reuse previously developed components to design their applications through a user-friendly interface. We validate our approach through a critical inspection with visualization experts and two case studies. We have carefully selected these case studies to illustrate its capabilities. Finally, we compare our approach with the subset flow model designed for multiple coordinated views.

With embedded systems being increasingly networked, appropriate models of computation and communication are needed for specification of such networks-of-systems. Traditional dataflow models have shown their usefulness in analyzing isolated systems. However, these models cannot express the inherent requirements of connected applications, such as dynamic behavior associated with network losses and reactivity to external events. This letter proposes a reactive and adaptive data flow (RADF) model that introduces a notion of empty tokens to expose network losses and provide adaptivity at the application level while maintaining overall determinism. Empty tokens, combined with expanded actor semantics, are also used to model reactivity to sporadic external events. We formally define RADF semantics and show efficient methods for analyzing RADF graphs in terms of their worst-case throughput and latency.

Specifications of information-systems-type applications are often based on the use of entity-relationship (ER) and dataflow (DF) diagrams, which cover the conceptual modeling of data and functions, respectively. VLP, an executable visual language for formal specifications which fully integrates ER and DF diagrams in a semantically clear way, is introduced. Unlike existing commercial products (the so-called CASE tools), which can only support good-quality documentation, simple forms of consistency checking and bookkeeping, VLP supports executable specifications, which provide a prototype of the desired application. After reviewing the principles of VLP, the structure of the ECASET environment in which VLP is embedded is outlined. How the environment supports the stepwise derivation of specifications, from informal to formal, is shown, as well as how it supports specification-in-the-large.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

The paper discusses the use of Data flow diagram(DFD) to assure dependability. Until now, DFD has been widely used to track data movement from input to output making it easy to organize processes and have an overall understanding of the system. However, no studies exist on dependability using Data Flow Diagrams. After examining several D-Cases (dependability cases) produced from DFD, It became clear that it was easy to support the main goal, i.e.proving system is dependable, by providing evidence, as DFD tracks every process, input, output and data stores. This paper will explain the derivation of a D-Case from DFD and discusses various aspects of this method in detail.

Chapter 15 - Data Flow Diagrams

Abstract[Context and otivation] The well-established Data Flow Diagrams (DFDs) have proven their value in the field of security and privacy for the realization of processes in models. However, the time and resources required to model the system with DFD, could slow down security and privacy threat analysis. [Question/problem] Despite the fact that information required for drawing DFD is available in the textual requirement such as user stories, the current approach to modeling the system using DFD is still done by form/questionnaires or manually drawing the diagram. [Principal ideas/results] This study proposes a natural language processing (NLP) model that generates DFD automatically from well-formed user stories. We also detect the presence of personal data in user stories by employing Named Entity Recognition, which allows the personal data to be highlighted in DFD. Our preliminary results show that our model can automatically generate a DFD that highlights the presence of personal data. Finally, the DFD could be expanded to a Privacy-Aware DFD, which incorporates privacy checks into the DFD. [Contribution] This is the first attempt at automatically transforming user stories into DFD using an NLP approach. The automatic approach may alleviate the burden placed on privacy analysts during the initial stages of threat modeling or eliciting privacy requirements.KeywordsData flow diagramUser storiesNatural language processingPrivacy threat modeling

Process-driven applications evolve rapidly through the interaction between executable BPMN (Business Process Modeling and Notation) models, business tasks, and external services. Given these components operate on some shared process data, it is imperative to recover the latent data by visiting relation, which is known as data flow among these tasks. Data flow will benefit some typical applications including data flow anomaly checking and data privacy protection. However, in most cases, the complete data flow in a business process is not explicitly defined but hidden in model elements such as form declarations, variable declarations, and program code. Some methods to recovering data flow based on process model analysis of source code have some drawbacks; i.e., for security reasons, users do not want to provide source code but only encapsulated methods; therefore, data flows are difficult to analyze. We propose a method to generate running logs that are used to produce a complete data flow picture combined with the static code analysis method. This method combines the simple and easy-to-use characteristics of static code analysis methods and makes up for the shortcomings of static code analysis methods that cannot adapt to complex business processes, and as a result, the analyzed data flow is inaccurate. Moreover, a holistic framework is proposed to generate the data flow graph. The prototype system designed on Camunda and Flowable BPM (business process management) engine proves the applicability of the solution. The effectiveness of our method is validated on the prototype system.

This paper introduces procedures which facilitate the development of and the linking between modular data processing operations into different and versatile system solutions. Based on the concept of data flow diagrams, processes and data flows are considered. With the ability of a process to harness any amount of in-and outputs with different sources and destinations, it is possible to model any conceivable data processing problem. By aggregating a diagram as a new process, it is possible to outsource partial process chains to different abstraction levels. As a result, even very complex solutions can be modelled and explained in a clear way. The introduced uniform execution flow while traversing the graph creates a good readability which facilitates the detection of weaknesses. Moreover, the solution is comprehensive and advances the cooperation in teams and development.

EU-UK Data Flows, Brexit and No-Deal: Adequacy or Disarray?

Edraw Max is a 2D business technical diagram software that helps create flowcharts, organization charts, mind maps, network diagrams, floor plans, workflow diagrams, business charts and Engineering diagrams, flowcharts, graphs and mappings, besides E- Draw Max is also a vector-based diagramming software, which is usually used to make it easier to make a design. One of them is the design of a production process system in a factory that can use this application. In this training, the E-Draw Max tools will focus on making Data Flow Diagrams (DFD), which are useful for describing the flow of the created system, which consists of Context Diagrams, Level Diagrams, and Level n Diagrams. Data Flow Diagram (DFD) is a diagram that describes the flow of data from a process or information system. In DFD, there is information related to the input and output of each of these processes. DFD also has various functions, such as conveying system design, describing systems, and designing models. This training was held at the ITS NU Pekalongan Institute of Computer Technology. The purpose of this training is to help ITS NU Pekalongan S1 Computer Technology students in making system designs, specifically designing Data Flow Diagrams (DFD) using E-Draw Max tools to make it easier for students to make the flow of the system made in this case DFD on production process in Industry.

This paper aims to present the structure and data flows in a hybrid model for structuring, storing and processing distributed data on the Internet. The proposed organization of data storage is a combination of centralized tables (entity - relationships) and data marts (star schema) which are the basis of operational, distributed and centralized data repositories. The presented data flow diagram illustrates the interaction between individual data sources, data storage and delivery components, and user applications.

The article analyzes the existing methods of managing data flows in mobile radio communications. During the analysis, the peculiarities of the functioning and construction of these networks were considered. It has been established that such networks have features different from other networks, such as mobility, dynamic topology, independent organization, use of mobile means of communication, lack of fixed data transmission routes, etc. The task of providing routing in mobile radio communication devices, mobile radio networks, and the types of routing in communication networks are considered. The conditions for the implementation of the routing task and the features that characterize the routing process have been established. The levels of the OSI open systems model and the most well-known protocols that work at these levels and are used in data flow management are considered. Data flow management methods are classified by type and a list of requirements for the process of data flow transmission in mobile radio networks is defined, taking into account the peculiarities of the functioning of mobile radio communication means, which must be taken into account when building a mobile radio network management system. It has been established that at the current stage of information technology development, data flow management methods are mostly adapted for use in computer, wired or fixed networks and do not take into account the conditions of use in mobile radio communication devices. It has been established that the construction and operation of an effective data flow control subsystem in the control systems of mobile radio networks and mobile radio communication means requires the use of the latest technologies and modern approaches in the development of data flow control methods and methods that will ensure the functioning of the corresponding data flow control subsystem. When choosing protocols, methods, methods of managing data flows, it is proposed to focus on adaptation, modification of approaches or their combined use based on the target function, taking into account the peculiarities of the functioning of mobile radio networks and mobile radio communication means.