The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Advances in dataflow programming languages
Abstract
Many developments have taken place within dataflow programming languages in the past decade. In particular, there has been a great deal of activity and advancement in the field of dataflow visual programming languages. The motivation for this article is to review the content of these recent developments and how they came about. It is supported by an initial review of dataflow programming in the 1970s and 1980s that led to current topics of research. It then discusses how dataflow programming evolved toward a hybrid von Neumann dataflow formulation, and adopted a more coarse-grained approach. Recent trends toward dataflow visual programming languages are then discussed with reference to key graphical dataflow languages and their development environments. Finally, the article details four key open topics in dataflow programming languages.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lecture Notes in Computer Science 1205
(1999) · Industrial Robot: An International Journal · doi:10.1108/ir.1999.04926fae.001 · Cited by 38,662
Backus, J. (1978) · Communications of the ACM · doi:10.1145/359576.359579 · Cited by 2,609
(1974) · IFIP Congress · Cited by 2,150
Static Scheduling of Synchronous Data Flow Programs for Digital Signal Processing
Lee, E. A., & Messerschmitt, D. G. (1987) · IEEE Transactions on Computers · doi:10.1109/tc.1987.5009446 · Cited by 1,318
Usability Analysis of Visual Programming Environments: A ‘Cognitive Dimensions’ Framework
Green, T. R. G., & Petre, M. (1996) · Journal of Visual Languages & Computing · doi:10.1006/jvlc.1996.0009 · Cited by 1,251
Coordination languages and their significance
Gelernter, D., & Carriero, N. (1992) · Communications of the ACM · doi:10.1145/129630.129635 · Cited by 1,008
First version of a data flow procedure language
Dennis, J. B. (1974) · Lecture Notes in Computer Science · doi:10.1007/3-540-06859-7_145 · Cited by 644
Dennis (1980) · Computer · doi:10.1109/mc.1980.1653418 · Cited by 580
Properties of a Model for Parallel Computations: Determinacy, Termination, Queueing
Karp, R. M., & Miller, R. E. (1966) · SIAM Journal on Applied Mathematics · doi:10.1137/0114108 · Cited by 421
Executing a program on the MIT tagged-token dataflow architecture
Arvind, & Nikhil, R. S. (1990) · IEEE Transactions on Computers · doi:10.1109/12.48862 · Cited by 401
Cited by
A catalog of stream processing optimizations
Hirzel, M., Soulé, R., Schneider, S., Gedik, B., & Grimm, R. (2014) · ACM Computing Surveys · doi:10.1145/2528412 · Cited by 299
Developing iot applications in the fog: a distributed dataflow approach
Giang, N. K., Blackstock, M., Lea, R., & Leung, V. C. M. (2015) · 2015 5th International Conference on the Internet of Things (IOT) · doi:10.1109/iot.2015.7356560 · Cited by 293
A Brief Introduction to Automatic Differentiation for Machine Learning
Harrison, D. (2021) · arXiv · doi:10.48550/arxiv.2110.06209 · Cited by 5
Metadata
- Authors
- Johnston, W. M., Hanna, J. R. P., & Millar, R. J.
- Venue
- ACM Computing Surveys
- Published
- 2004-03
- Volume
- 36
- Issue
- 1
- Pages
- 1-34
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W1996138408
- Cited by
- 503
- References
- 29
- FWCI
- 12.54
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Advances in dataflow programming languages. https://app.cochat.ai/papers/10.1145/1013208.1013209
- The paper
- Johnston, W. M., Hanna, J. R. P., & Millar, R. J. (2004). Advances in dataflow programming languages. ACM Computing Surveys. https://doi.org/10.1145/1013208.1013209
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
