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What do we really know about data flow languages?

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PLATEAU 2016: Proceedings of the 7th International Workshop on Evaluation and Usability of Programming Languages and Tools

November 2016

Pages 30 - 31

https://doi.org/10.1145/3001878.3001884

Published: 01 November 2016 Publication History

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Abstract

Over the last years, a number of languages based on data flow abstractions have been proposed in different important areas including Big Data, stream processing, reactive programming, real time analytics. While there is a general agreement that the data flow style simplifies the access to such complex systems compared to low level imperative APIs, this design has been substantiated by little evidence. In this paper, we advocate a systematic investigation of the design principles of data flow languages and suggest important research questions that urge to be addressed.

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Cited By

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Pereira AGama KZimmerle CCastor F(2023)Reactive Programming with Swift Combine: An Analysis of Problems Faced by Developers on Stack OverflowProceedings of the XXXVII Brazilian Symposium on Software Engineering10.1145/3613372.3613381(109-115)Online publication date: 25-Sep-2023
https://dl.acm.org/doi/10.1145/3613372.3613381
Zimmerle CGama KCastor FFilho JLo DMcIntosh SNovielli N(2022)Mining the usage of reactive programming APIsProceedings of the 19th International Conference on Mining Software Repositories10.1145/3524842.3527966(203-214)Online publication date: 23-May-2022
https://dl.acm.org/doi/10.1145/3524842.3527966
Salvaneschi GProksch SAmann SNadi SMezini M(2017)On the Positive Effect of Reactive Programming on Software ComprehensionIEEE Transactions on Software Engineering10.1109/TSE.2017.265552443:12(1125-1143)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1109/TSE.2017.2655524

Index Terms

What do we really know about data flow languages?
1. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language features

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Published In

PLATEAU 2016: Proceedings of the 7th International Workshop on Evaluation and Usability of Programming Languages and Tools

November 2016

33 pages

ISBN:9781450346382

DOI:10.1145/3001878

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGAda: ACM Special Interest Group on Ada Programming Language

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Association for Computing Machinery

New York, NY, United States

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Published: 01 November 2016

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SIGPLAN

SPLASH '16: Conference on Systems, Programming, Languages, and Applications: Software for Humanity

November 1, 2016

Amsterdam, Netherlands

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Cited By

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Pereira AGama KZimmerle CCastor F(2023)Reactive Programming with Swift Combine: An Analysis of Problems Faced by Developers on Stack OverflowProceedings of the XXXVII Brazilian Symposium on Software Engineering10.1145/3613372.3613381(109-115)Online publication date: 25-Sep-2023
https://dl.acm.org/doi/10.1145/3613372.3613381
Zimmerle CGama KCastor FFilho JLo DMcIntosh SNovielli N(2022)Mining the usage of reactive programming APIsProceedings of the 19th International Conference on Mining Software Repositories10.1145/3524842.3527966(203-214)Online publication date: 23-May-2022
https://dl.acm.org/doi/10.1145/3524842.3527966
Salvaneschi GProksch SAmann SNadi SMezini M(2017)On the Positive Effect of Reactive Programming on Software ComprehensionIEEE Transactions on Software Engineering10.1109/TSE.2017.265552443:12(1125-1143)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1109/TSE.2017.2655524

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