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22nd Annual ACM Interaction Design and Children Conference (IDC)

作者： Song, Yukyeong Xing, Wanli Barron, Alec Oh, Hyunju Li, Chenglu Minces, Victor Univ Florida Gainesville FL 32611 USA Univ Calif San Diego San Diego CA 92103 USA

ISBN: (纸本)9798400701313

Because of the structural parallelisms between music and computing, it has long been suggested that coding music could be a good way for young children to engage in and learn about computer science (CS). Despite these suggestions, coding music has not reached a wider audience of young children, and the approach's potential to engage them has not been thoroughly demonstrated. To facilitate the adoption of coding music activities, we created M-flow, a flow-based programming platform that allows young children to code music intuitively from the outset. Then, we developed a standards-aligned curriculum that teachers applied in their fourth-grade classrooms. Surveys indicate that children were greatly engaged, the experience successfully exposed them to and increased their self-efficacy toward programming. Our results indicate that with the appropriate coding platform, coding music can be a powerful way to engage children in CS.

关键词： CS education music creation flow-based programming elementary school children

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DISCOPAR: A Visual Reactive programming Language for Generating Cloud-based Participatory Sensing Platforms 5

DISCOPAR: A Visual Reactive Programming Language for Generat...

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5th ACM SIGPLAN International Workshop on Reactive and Event-based Languages and Systems (REBLS)

作者： Zaman, Jesse Kambona, Kennedy De Meuter, Wolfgang Vrije Univ Brussel Software Languages Lab Brussels Belgium

ISBN: (纸本)9781450360708

Participatory sensing (PS) platforms enable stakeholders to collect, analyse and visualise data for a particular interest. Despite high societal demand, developing a new PS platform remains a labour-intensive, nonreusable process that requires high technical expertise. We present DISCOPAR, a visual reactive flow-based domain-specific language geared towards the construction of reusable citizen observatories. With DISCOPAR, users interact with visual components to implement the various elements of a PS platforms without having to worry about its underlying technological complexities. We validate our approach through experiments using real-world empirical usability studies of ICT-agnostic users. The results show that DISCOPAR allows users with limited technological knowledge to create their own PS platform.

关键词： participatory sensing visual programming reactive programming flow-based programming

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A Composable Just-In-Time programming Framework with LLMs and FBP

A Composable Just-In-Time Programming Framework with LLMs an...

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IEEE High Performance Extreme Computing Virtual Conference (HPEC)

作者： Vidan, Andy Fiedler, Lars Composable Analyt Inc Cambridge MA 02140 USA

ISBN: (纸本)9798350308600

This paper introduces a computing framework that combines flow-based programming (FBP) and Large Language Models (LLMs) to enable Just-In-Time programming (JITP). JITP empowers users, regardless of their programming expertise, to actively participate in the development and automation process by leveraging their task-time algorithmic insights. By seamlessly integrating LLMs into the FBP workflow, the framework allows users to request and generate code in real-time, enabling dynamic code execution within a flow-based program. The paper explores the motivations, principles, and benefits of JITP, showcasing its potential in automating tasks, orchestrating data workflows, and accelerating software development. Through a fully implemented JITP framework using the Composable platform, we explore several examples and use cases to illustrate the benefits of the framework in data engineering, data science and software development. The results demonstrate how the fusion of FBP and LLMs creates a powerful and user-centric computing paradigm.

关键词： just-in-time programming large language models flow-based programming

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MobileFBP: Designing portable reconfigurable applications for heterogeneous systems

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JOURNAL OF SYSTEMS ARCHITECTURE 2014年第1期60卷 40-51页

作者： Hung, Shih-Hao Tzeng, Tien-Tzong Wu, Jyun-De Tsai, Min-Yu Lu, Yi-Chih Shieh, Jeng-Peng Tu, Chia-Heng Ho, Wen-Jen Natl Taiwan Univ Dept Comp Sci & Informat Engn Taipei Taiwan Inst Informat Ind Smart Network Syst Inst Taipei Taiwan

Power-efficiency has been a key issue for today's application and system design, ranging from embedded systems to data centers. While application-specific designs and optimizations may improve the power efficiency, it requires significant efforts to co-design the hardware and software, which are difficult to re-use. On the hardware front, the trend of heterogeneous computing enables custom designs for specific applications by integrating different types of processors and reconfigurable hardware to handle computeintensive tasks. However, what is still missing is an elegant application framework, i.e., a programming environment and a runtime system, to develop portable applications which can offload tasks or be reconfigured dynamically to run on a variety of systems efficiently. Our ongoing work, MobileFBP, provides an application framework which aims to support heterogeneous and reconfigurable systems. Using the framework, the developers build portable applications with a dataflow programming paradigm, and the MobileFBP runtime system dynamically schedules the task components to run on available computing resources locally or remotely based on the application profiles. We hope that this ability produces high-level portable applications and reduces the efforts and skills needed for the developers to optimize their applications on a range of systems. This paper describes this work and presents our preliminary results. (C) 2013 Elsevier B.V. All rights reserved.

关键词： Multicore Reconfiurable computing Heterogeneous systems Android flow-based programming Inter-task communications

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Composing high-level stream processing pipelines

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JOURNAL OF BIG DATA 2020年第1期7卷 1-28页

作者： Mahapatra, Tanmaya Tech Univ Munich Inst Med Informat Stat & Epidemiol IMedIS Sch Med Ismaninger Str 22 D-81675 Munich Germany Tech Univ Munich Software & Syst Engn Res Grp Boltzmannstr 03 D-85748 Garching Germany

The growing number of Internet of Things (IoT) devices provide a massive pool of sensing data. However, turning data into actionable insights is not a trivial task, especially in the context of IoT, where application development itself is complex. The process entails working with heterogeneous devices via various communication protocols to co-ordinate and fetch datasets, followed by a series of data transformations. Graphical mashup tools, based on the principles of flow-based programming paradigm, operating at a higher-level of abstraction are in widespread use to support rapid prototyping of IoT applications. Nevertheless, the current state-of-the-art mashup tools suffer from several architectural limitations which prevent composing in-flow data analytics pipelines. In response to this, the paper contributes by (i) designing novel flow-based programming concepts based on the actor model to support data analytics pipelines in mashup tools, prototyping the ideas in a new mashup tool called aFlux and providing a detailed comparison with the existing state-of-the-art and (ii) enabling easy prototyping of streaming applications in mashup tools by abstracting the behavioural configurations of stream processing via graphical flows and validating the ease as well as the effectiveness of composing stream processing pipelines from an end-user perspective in a traffic simulation scenario.

关键词： flow-based programming Graphical pipelines Mashup tools Graphical stream processing Stream analytics End-user programming Data Analytics as a Service (DAaaS) Data Analytics Applications (DAAs)

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Telemetry data processing flow model: a case study

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AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY 2015年第1期87卷 52-56页

作者： Wang, Guohua Li, Qiang Sun, Jinglin Meng, Xiaofeng Beihang Univ Sch Instrumentat Sci & Optoelect Engn Beijing 100191 Peoples R China

Purpose - The purpose of this paper is to develop the model of telemetry data processing flow (TDPF) for TDPF development and the TDPF run-time infrastructure to improve the spacecraft health monitoring capability. Design/methodology/approach - This research tries to develop the TDPF by flow-based programming (FBP) method and the component-based telemetry data processing software. Findings - The result from the case study is positive, thus reflecting the appropriateness of the suggested method. Practical implications - Application of the proposed TDPF model and the component-based telemetry data processing software may result in improved development efficiency and less development costs. Originality/value - This paper provides an effective way to develop TDPF without recompiling the software. It greatly facilitates the TDPF development that hopefully will save the TDPF development cost.

关键词： Telemetry data processing flow Spacecraft health monitoring flow-based programming Component-based development Limit checking

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How to evaluate an Internet of Things system: Models, case studies, and real developments

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SOFTWARE-PRACTICE & EXPERIENCE 2019年第11期49卷 1663-1685页

作者： Sicari, Sabrina Rizzardi, Alessandra Coen-Porisini, Alberto Univ Insubria Dipartimento Sci Teoriche & Applicate Via Mazzini 5 I-21100 Varese Italy

The paper proposes the use of Node-RED, a flow-based programming tool targeted to Internet of Things (IoT), along with a series of case studies related to different IoT contexts, which demonstrate Node-RED's potentialities and outcomings toward the realization of well-structured IoT environments. The analyzed applications potentially include a wide range of domains, ranging from smart cities, smart buildings, smart homes/offices, smart retailing, to smart transportation, smart logistics, smart agriculture, smart health, military scenarios, and so on. The motivations behind the presented work are related to the fact that IoT application fields usually involve the same technologies and communication protocols, which are frequently adopted for totally different purposes. Issues such as systems' interoperabiliy, scalability, security and privacy naturally emerge, due to the huge amount of heterogeneous devices acting in the IoT environment itself and to the wireless nature of information transmissions. As a consequence, it is fundamental to dispose of adequate tools for supporting developers in design the network architecture and messages' exchange, in order to realize efficient and effective IoT network infrastructures.

关键词： application case study Internet of Things flow-based programming Node-RED

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Towards Domain-specific flow-based Languages 6

Towards Domain-specific Flow-based Languages

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6th International Conference on Model-Driven Engineering and Software Development (MODELSWARD)

作者： Zarrin, Bahram Baumeister, Hubert Sarjoughian, Hessam Tech Univ Denmark DTU Compute DK-2800 Lyngby Denmark Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85281 USA

ISBN: (纸本)9789897582837

Due to the significant growth of the demand for data-intensive computing, in addition to the emergence of new parallel and distributed computing technologies, scientists and domain experts are leveraging languages specialized for their problem domain, i.e., domain-specific languages, to help them describe their problems and solutions, instead of using general purpose programming languages. The goal of these languages is to improve the productivity and efficiency of the development and simulation of concurrent scientific models and systems. Moreover, they help to expose parallelism and to specify the concurrency within a component or across different independent components. In this paper, we introduce the concept of domain-specific flow-based languages which allows domain experts to use flow-based languages adapted to a particular problem domain. flow-based programming is used to support concurrency, while the domain-specific part of these languages is used to define atomic processes and domain-specific validation rules for composite processes. We propose a modeling language that can be used to develop such domain-specific languages. Since this language allows one to define other languages, we often refer to it as a meta-modeling language.

关键词： Domain-specific Languages flow-based programming Metamodeling Languages Parallel Computing

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A Hybrid Data-flow Visual Programing Language 51

A Hybrid Data-flow Visual Programing Language

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51st International Conference on Parallel Processing (ICPP)

作者： Wang, Hongxin Luo, Qiuming Du, Zheng Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Guangdong Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China

ISBN: (纸本)9781450394451

In this paper, we introduced a Hybrid Data-flow Visual Programing Language (HDVPL), which is an extended C/C++ language with a visual frontend and a dataflow runtime library. Although, most of the popular dataflow visual programming languages are designed for specialized purposes, HDVPL is for general-purpose programming. Unlike the others, the dataflow node behavior of HDVPL can be customized by programmer. Our intuitive visual interface can easily build a general-purpose dataflow program. It provides a visual editor to create nodes and connect them to form a DAG of dataflow task. This makes the beginner of computer programming capable of building parallel programs easily. With subgraph feature, complex hierarchical graphs can be built with container node. After the whole program is accomplished, the HDVPL can translate it into text-based source code and compile it into object file, which will be linked with HDVPL dataflow runtime library. To visualize dataflow programs in runtime, we integrated our dataflow library with frontend visual editor. The visual frontend will show the detailed information about the running program in console window.

关键词： Visual programming Languages (VPLs) flow-based programming User interface

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floware: An Approach for IoT Support and Application Development 22nd

FloWare: An Approach for IoT Support and Application Develop...

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22nd International Working Conference on Business Process Modeling, Development and Support (BPMDS) and the 26th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development (EMMSAD)

作者： Corradini, Flavio Fedeli, Arianna Fornari, Fabrizio Polini, Andrea Re, Barbara Univ Camerino Comp Sci Div Camerino Italy

ISBN: (纸本)9783030791858;9783030791865

With the advancement of computing technology, we are witnessing the dawn of a new era of the Internet of Things (IoT) paradigm in which objects equipped with sensors, actuators and processing capabilities communicate with each other to serve a given goal. The IoT's intrinsic nature, which uses heterogeneous devices, resources and different communication protocols, complicates IoT applications' design, development, and validation. Reducing the complexity of building IoT applications is one of the current challenges in this area. To address this challenge, we focus on a model-driven approach to support IoT systems' management and the development of IoT applications. In particular, we propose the floware approach and its toolchain, which combine Software Product Line and flow-based programming paradigms to manage the complexity in the various stages of the IoT application development process. An automatic transformation procedure generates the final IoT application, an executable Node-RED flow, starting from a configuration of the designed Feature Models.

关键词： IoT Model-driven Feature model flow-based programming Node-RED

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