Managing Messes in Computational Notebooks

Program slicing

Weiser, M. (1981) · doi:10.5555/800078.802557 · Cited by 699 · see citing works

How We Refactor, and How We Know It

Murphy-Hill, E., Parnin, C., & Black, A. P. (2012) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2011.41 · Cited by 547 · see citing works

VisTrails

Callahan, S. P., Freire, J., Santos, E., Scheidegger, C., Silva, C. T., & Vo, H. T. (2006) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1142473.1142574 · Cited by 480 · see citing works

Enterprise Data Analysis and Visualization: An Interview Study

Kandel, S., Paepcke, A., Hellerstein, J. M., & Heer, J. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.219 · Cited by 443 · see citing works

Exploration and Explanation in Computational Notebooks

Rule, A., Tabard, A., & Hollan, J. D. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173606 · Cited by 347 · see citing works

The Story in the Notebook

Kery, M. B., Radensky, M., Arya, M., John, B. E., & Myers, B. A. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173748 · Cited by 216 · see citing works

Refactoring Tools: Fitness for Purpose

Murphy-Hill, E. R., & Black, A. P. (2008) · IEEE Software · doi:10.1109/ms.2008.123 · Cited by 155 · see citing works

Design as exploration

Hartmann, B., Yu, L., Allison, A., Yang, Y., & Klemmer, S. (2008) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/1449715.1449732 · Cited by 152 · see citing works

Variolite

Kery, M. B., Horvath, A., & Myers, B. A. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025626 · Cited by 146 · see citing works

Interactive record/replay for web application debugging

Burg, B., Bailey, R. P., Ko, A. J., & Ernst, M. D. (2013) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/2501988.2502050 · Cited by 129 · see citing works

Finding causes of program output with the Java Whyline

Ko, A. J., & Myers, B. A. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518942 · Cited by 123 · see citing works

Exploring exploratory programming

Beth Kery, M., & Myers, B. A. (2017) · 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vlhcc.2017.8103446 · Cited by 123 · see citing works

Systematizing pragmatic software reuse

Holmes, R., & Walker, R. J. (2012) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/2377656.2377657 · Cited by 89 · see citing works

BURRITO: Wrapping Your Lab Notebook in Computational Infrastructure

Guo, P. J., & Seltzer, M. (2012) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 83 · see citing works

Interactions for Untangling Messy History in a Computational Notebook

Kery, M. B., & Myers, B. A. (2018) · Proceedings/Proceedings -- IEEE Symposium on Visual Languages and Human-Centric Computing · doi:10.1109/vlhcc.2018.8506576 · Cited by 77 · see citing works

FireCrystal: Understanding interactive behaviors in dynamic web pages

Oney, S., & Myers, B. A. (2009) · Proceedings/Proceedings -- IEEE Symposium on Visual Languages and Human-Centric Computing · doi:10.1109/vlhcc.2009.5295287 · Cited by 76 · see citing works

Aiding Collaborative Reuse of Computational Notebooks with Annotated Cell Folding

Rule, A., Drosos, I., Tabard, A., & Hollan, J. D. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3274419 · Cited by 59 · see citing works

Software history under the lens: A study on why and how developers examine it

Codoban, M., Ragavan, S. S., Dig, D., & Bailey, B. P. (2015) · IEEE International Conference on Software Maintenance (ICSM) · doi:10.1109/icsm.2015.7332446 · Cited by 57 · see citing works

Foraging Among an Overabundance of Similar Variants

Ragavan, S. S., Kuttal, S. K., Hill, C., Sarma, A., Piorkowski, D., & Burnett, M. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858469 · Cited by 49 · see citing works

History slicing

Servant, F., & Jones, J. A. (2012) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/2393596.2393646 · Cited by 43 · see citing works

A code reuse interface for non-programmer middle school students

Gross, P. A., Herstand, M. S., Hodges, J. W., & Kelleher, C. L. (2010) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/1719970.1720001 · Cited by 37 · see citing works

Explaining Visual Changes in Web Interfaces

Burg, B., Ko, A. J., & Ernst, M. D. (2015) · doi:10.1145/2807442.2807473 · Cited by 37 · see citing works

Drag-and-Drop Refactoring: Intuitive and Efficient Program Transformation

Lee, Y. Y., Chen, N., & Johnson, R. E. (2012) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · Cited by 34 · see citing works

Supporting selective undo in a code editor

Yoon, Y., & Myers, B. A. (2015) · doi:10.5555/2818754.2818784 · Cited by 33 · see citing works

Unravel

Hibschman, J., & Zhang, H. (2015) · doi:10.1145/2807442.2807468 · Cited by 29 · see citing works

D euce

Hempel, B., Lubin, J., Lu, G., & Chugh, R. (2018) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3180155.3180165 · Cited by 27 · see citing works

An exploratory study of backtracking strategies used by developers

Yoon, Y., & Myers, B. A. (2012) · doi:10.5555/2663638.2663669 · Cited by 26 · see citing works

Interactive Extraction of Examples from Existing Code

Head, A., Glassman, E. L., Hartmann, B., & Hearst, M. A. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173659 · Cited by 25 · see citing works

Telescope

Hibschman, J., & Zhang, H. (2016) · doi:10.1145/2984511.2984570 · Cited by 23 · see citing works

Identifying Code of Individual Features in Client-Side Web Applications

Maras, J., Štula, M., Carlson, J., & Crnković, I. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2013.38 · Cited by 21 · see citing works

JTourBus: Simplifying Program Understanding by Documentation that Provides Tours Through the Source Code

Oezbek, C., & Prechelt, L. (2007) · Proceedings/Proceedings - Conference on Software Maintenance · doi:10.1109/icsm.2007.4362619 · Cited by 19 · see citing works

Fine-Grained Provenance Collection over Scripts Through Program Slicing

Pimentel, J. F., Freire, J., Murta, L., & Braganholo, V. P. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-40593-3_21 · Cited by 16 · see citing works

Design and Use of Computational Notebooks

Rule, A. (2018) · eScholarship (California Digital Library) · Cited by 10 · see citing works

Interactive and collaborative source code annotation

Suzuki, R. (2015) · doi:10.5555/2819009.2819173 · Cited by 7 · see citing works

Tempura: temporal dimension for IDEs

Lee, Y. Y., Marinov, D., & Johnson, R. E. (2015) · doi:10.5555/2818754.2818783 · Cited by 3 · see citing works

What's Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities

Chattopadhyay, S., Prasad, I., Henley, A. Z., Sarma, A., & Barik, T. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376729 · Cited by 166 · see citing works

How Data Scientists Use Computational Notebooks for Real-Time Collaboration

Wang, A. Y., Mittal, A., Brooks, C. A., & Oney, S. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359141 · Cited by 131 · see citing works

Collaboration challenges in building ML-enabled systems

Nahar, N., Zhou, S., Lewis, G. A., & Kästner, C. (2022) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3510003.3510209 · Cited by 164 · see citing works

Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks

Wang, A. Y., Wang, D., Drozdal, J., Muller, M. J., Park, S., Weisz, J. D., Liu, X., Wu, L., & Dugan, C. (2022) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3489465 · Cited by 82 · see citing works

On the Design of AI-powered Code Assistants for Notebooks

McNutt, A. M., Wang, C., DeLine, R. A., & Drucker, S. M. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580940 · Cited by 81 · see citing works

B2

Wu, Y., Hellerstein, J. M., & Satyanarayan, A. (2020) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3379337.3415851 · Cited by 70 · see citing works

Understanding the Role of Alternatives in Data Analysis Practices

Liu, J., Boukhelifa, N., & Eagan, J. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934593 · Cited by 58 · see citing works

Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models

Park, S., Wang, A. Y., Kawas, B., Liao, Q. V., Piorkowski, D., & Danilevsky, M. (2021) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3397481.3450637 · Cited by 61 · see citing works

Fork It: Supporting Stateful Alternatives in Computational Notebooks

Weinman, N., Drucker, S. M., Barik, T., & DeLine, R. A. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445527 · Cited by 57 · see citing works

Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work

Zheng, C., Wang, D., Wang, A. Y., & Ma, X. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517615 · Cited by 54 · see citing works

A Meta-Summary of Challenges in Building Products with ML Components – Collecting Experiences from 4758+ Practitioners

Nahar, N., Zhang, H., Lewis, G. A., Zhou, S., & Kästner, C. (2023) · IEEE/ACM International Conference on AI Engineering – Software Engineering for AI (CAIN) · doi:10.1109/cain58948.2023.00034 · Cited by 58 · see citing works

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models

Reza, M., Laundry, N. M., Musabirov, I., Dushniku, P., Yu, Z. Y. “., Mittal, K., Grossman, T., Liut, M., Kuzminykh, A., & Williams, J. J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641899 · Cited by 52 · see citing works

UMLAUT: Debugging Deep Learning Programs using Program Structure and Model Behavior

Schoop, E., Huang, F., & Hartmann, B. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445538 · Cited by 52 · see citing works

Code Duplication and Reuse in Jupyter Notebooks

Koenzen, A. P., Ernst, N., & Storey, M. (2020) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc50065.2020.9127202 · Cited by 51 · see citing works

Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition

Kazemitabaar, M., Williams, J., Drosos, I., Grossman, T., Henley, A. Z., Negreanu, C., & Sarkar, A. (2024) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3654777.3676345 · Cited by 55 · see citing works

Symphony: Composing Interactive Interfaces for Machine Learning

Bäuerle, A., Cabrera, Á. A., Hohman, F., Maher, M., Koski, D., Suau, X., Barik, T., & Moritz, D. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502102 · Cited by 50 · see citing works

The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry

Lau, S., Drosos, I., Markel, J. M., & Guo, P. J. (2020) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc50065.2020.9127201 · Cited by 46 · see citing works

Fine-grained lineage for safer notebook interactions

Macke, S., Gong, H., Lee, D. J., Head, A., Xin, D., & Parameswaran, A. (2021) · Proceedings of the VLDB Endowment · doi:10.14778/3447689.3447712 · Cited by 48 · see citing works

Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives

Wang, A. Y., Wu, Z., Brooks, C. A., & Oney, S. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376740 · Cited by 44 · see citing works

ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics

Kang, D., Ho, T., Marquardt, N., Mutlu, B., & Bianchi, A. (2021) · International Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445434 · Cited by 44 · see citing works

How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study

Gu, K., Grunde-McLaughlin, M., McNutt, A., Heer, J., & Althoff, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641891 · Cited by 40 · see citing works

Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks

Li, H., Ying, L., Zhang, H., Wu, Y., Qu, H., & Wang, Y. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580965 · Cited by 38 · see citing works

How Do Analysts Understand and Verify AI-Assisted Data Analyses?

Gu, K., Shang, R., Althoff, T., Wang, C., & Drucker, S. M. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642497 · Cited by 45 · see citing works

Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration

Wang, F., Liu, X., Liu, O., Neshati, A., Ma, T., Zhu, M., & Zhao, J. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580753 · Cited by 38 · see citing works

EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In Situ Code Search and Recommendation

Li, X., Zhang, Y., Leung, J., Sun, C. P., & Zhao, J. (2022) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3545995 · Cited by 37 · see citing works

Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure

Wenskovitch, J. E., Zhao, J., Carter, S., Cooper, M., & North, C. L. (2019) · IEEE Visualization in Data Science (VDS) · doi:10.1109/vds48975.2019.8973385 · Cited by 35 · see citing works

Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis

Wang, A. Y., Epperson, W., DeLine, R. A., & Drucker, S. M. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502123 · Cited by 34 · see citing works

Aspirations and Practice of ML Model Documentation: Moving the Needle with Nudging and Traceability

Bhat, A., Coursey, A., Hu, G., Li, S., Nahar, N., Zhou, S., Kästner, C., & Guo, J. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581518 · Cited by 33 · see citing works

Imprimer: Computational Notebooks for CNC Milling

O'Leary, J. T., Benabdallah, G., & Peek, N. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581334 · Cited by 31 · see citing works

Data Leakage in Notebooks: Static Detection and Better Processes

Yang, C., Brower-Sinning, R. A., Lewis, G. A., & Kästner, C. (2022) · IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1145/3551349.3556918 · Cited by 32 · see citing works

CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming

Feng, L., Yen, R., You, Y., Fan, M., Zhao, J., & Lu, Z. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642212 · Cited by 29 · see citing works

Dead or Alive: Continuous Data Profiling for Interactive Data Science

Epperson, W., Gorantla, V., Moritz, D., & Perer, A. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3327367 · Cited by 28 · see citing works

Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code

Yang, C., Zhou, S., Guo, J., & Kästner, C. (2021) · IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1109/ase51524.2021.9678520 · Cited by 28 · see citing works

Eliciting Best Practices for Collaboration with Computational Notebooks

Quaranta, L., Calefato, F., & Lanubile, F. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3512934 · Cited by 28 · see citing works

Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

Ayobi, A., Hughes, J., Duckworth, C. J., Dylag, J. J., Gordon James, S., Marshall, P., Guy, M., Kumaran, A., Chapman, A., Boniface, M., et al. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581424 · Cited by 26 · see citing works

TweakIt: Supporting End-User Programmers Who Transmogrify Code

Lau, S., Ragavan, S. S., Milne, K., Barik, T., & Sarkar, A. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445265 · Cited by 26 · see citing works

StickyLand: Breaking the Linear Presentation of Computational Notebooks

Wang, Z. J., Dai, K., & Edwards, W. K. (2022) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3491101.3519653 · Cited by 25 · see citing works

NBSearch: Semantic Search and Visual Exploration of Computational Notebooks

Li, X., Wang, Y., Wang, H., Wang, Y., & Zhao, J. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445048 · Cited by 24 · see citing works

Using Annotations for Sensemaking About Code

Horvath, A., Myers, B. A., Macvean, A., & Rahman, I. (2022) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3526113.3545667 · Cited by 26 · see citing works

Glinda: Supporting Data Science with Live Programming, GUIs and a Domain-specific Language

DeLine, R. A. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445267 · Cited by 23 · see citing works

Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop Perspective

Rahman, S., & Kandogan, E. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502068 · Cited by 20 · see citing works

multiverse: Multiplexing Alternative Data Analyses in R Notebooks

Sarma, A., Kale, A. M., Moon, M. J., Taback, N., Chevalier, F., Hullman, J. R., & Kay, M. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580726 · Cited by 26 · see citing works

OutlineSpark: Igniting AI-powered Presentation Slides Creation from Computational Notebooks through Outlines

Wang, F., Lin, Y., Yang, L., Li, H., Gu, M., Zhu, M., & Qu, H. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642865 · Cited by 20 · see citing works

Workflow analysis of data science code in public GitHub repositories

Ramasamy, D., Sarasua, C., Bacchelli, A., & Bernstein, A. (2022) · Empirical Software Engineering · doi:10.1007/s10664-022-10229-z · Cited by 19 · see citing works

Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time

Raghunandan, D., Roy, A., Shi, S., Elmqvist, N., & Battle, L. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580997 · Cited by 19 · see citing works

Unravel: A Fluent Code Explorer for Data Wrangling

Shrestha, N., Barik, T., & Parnin, C. (2021) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3472749.3474744 · Cited by 19 · see citing works

Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way

Wang, C., Lee, B., Drucker, S. M., Marshall, D., & Gao, J. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713296 · Cited by 30 · see citing works

Bolt-on, Compact, and Rapid Program Slicing for Notebooks

Shankar, S., Macke, S., Chasins, S., Head, A., & Parameswaran, A. (2022) · Proceedings of the VLDB Endowment · doi:10.14778/3565838.3565855 · Cited by 18 · see citing works

Bug Analysis in Jupyter Notebook Projects: An Empirical Study

de Santana, T. L., Neto, P. A. D. M. S., de Almeida, E. S., & Ahmed, I. (2024) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3641539 · Cited by 18 · see citing works

Evaluating Navigation and Comparison Performance of Computational Notebooks on Desktop and in Virtual Reality

In, S., Krokos, E., Whitley, K. N., North, C. L., & Yang, Y. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642932 · Cited by 18 · see citing works

Splitting, Renaming, Removing: A Study of Common Cleaning Activities in Jupyter Notebooks

Dong, H., Zhou, S., Guo, J., & Kästner, C. (2021) · IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) · doi:10.1109/asew52652.2021.00032 · Cited by 17 · see citing works

ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells

Titov, S., Golubev, Y., & Bryksin, T. (2022) · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · doi:10.1109/saner53432.2022.00066 · Cited by 17 · see citing works

ChatDBG: Augmenting Debugging with Large Language Models

Levin, K. H., van Kempen, N., Berger, E. D., & Freund, S. N. (2025) · Proceedings of the ACM on software engineering. · doi:10.1145/3729355 · Cited by 16 · see citing works

Visualising data science workflows to support third-party notebook comprehension: an empirical study

Ramasamy, D., Sarasua, C., Bacchelli, A., & Bernstein, A. (2023) · Empirical Software Engineering · doi:10.1007/s10664-023-10289-9 · Cited by 21 · see citing works

Exploring Organization of Computational Notebook Cells in 2D Space

Harden, J., Christman, E., Kirshenbaum, N., Wenskovitch, J. E., Leigh, J., & North, C. L. (2022) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc53370.2022.9833128 · Cited by 16 · see citing works

Data science knowledge integration: Affordances of a computational cognitive apprenticeship on student conceptual understanding

Sánchez‐Peña, M., Vieira, C., & Magana, A. J. (2022) · Computer Applications in Engineering Education · doi:10.1002/cae.22580 · Cited by 16 · see citing works

Restoring the Executability of Jupyter Notebooks by Automatic Upgrade of Deprecated APIs

Zhu, C., Saha, R. K., Prasad, M. R., & Sarfraz Khurshid, D. (2021) · IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1109/ase51524.2021.9678889 · Cited by 15 · see citing works

GridBook: Natural Language Formulas for the Spreadsheet Grid

Srinivasa Ragavan, S., Hou, Z., Wang, Y., Gordon, A. D., Zhang, H., & Zhang, D. (2022) · 27th International Conference on Intelligent User Interfaces · doi:10.1145/3490099.3511161 · Cited by 15 · see citing works

FileWeaver

Gori, J., Han, H. L., & Beaudouin-Lafon, M. (2020) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3379337.3415830 · Cited by 15 · see citing works

TRACTUS: Understanding and Supporting Source Code Experimentation in Hypothesis-Driven Data Science

Subramanian, K., Maas, J., & Borchers, J. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376764 · Cited by 14 · see citing works

Edit - Run Behavior in Programming and Debugging

Alaboudi, A., & LaToza, T. D. (2021) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc51201.2021.9576170 · Cited by 14 · see citing works

Meta-Manager: A Tool for Collecting and Exploring Meta Information about Code

Horvath, A., Macvean, A., & Myers, B. A. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642676 · Cited by 14 · see citing works

NotePlayer: Engaging Computational Notebooks for Dynamic Presentation of Analytical Processes

Ouyang, Y., Shen, L., Wang, Y., & Li, Q. (2024) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3654777.3676410 · Cited by 13 · see citing works

Notational Programming for Notebook Environments: A Case Study with Quantum Circuits

Arawjo, I., DeArmas, A., Roberts, M., Basu, S., & Parikh, T. S. (2022) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3526113.3545619 · Cited by 13 · see citing works

Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials

Wang, A. Y., Head, A., Zhang, G., Oney, S., & Brooks, C. A. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581525 · Cited by 12 · see citing works

Loops: Leveraging Provenance and Visualization to Support Exploratory Data Analysis in Notebooks

Eckelt, K., Gadhave, K., Lex, A., & Streit, M. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456186 · Cited by 11 · see citing works

A collaborative semantic-based provenance management platform for reproducibility

Samuel, S., & König‐Ries, B. (2022) · PeerJ Computer Science · doi:10.7717/peerj-cs.921 · Cited by 11 · see citing works

Error identification strategies for Python Jupyter notebooks

Robinson, D. J. S., Ernst, N., Vargas, E. L., & Storey, M.-A. D. (2022) · IEEE International Conference on Program Comprehension (ICPC) · doi:10.1145/3524610.3529156 · Cited by 11 · see citing works

Refactoring in Computational Notebooks

Liu, E. S., Lukes, D. A., & Griswold, W. G. (2022) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3576036 · Cited by 11 · see citing works

ElasticNotebook: Enabling Live Migration for Computational Notebooks

Li, Z., Gor, P., Prabhu, R., Yu, H., Mao, Y., & Park, Y. (2023) · Proceedings of the VLDB Endowment · doi:10.14778/3626292.3626296 · Cited by 10 · see citing works

Casual Notebooks and Rigid Scripts: Understanding Data Science Programming

Subramanian, K., Hamdan, N. A.-H., & Borchers, J. (2020) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc50065.2020.9127207 · Cited by 10 · see citing works

Agility in Software 2.0 – Notebook Interfaces and MLOps with Buttresses and Rebars

Borg, M. (2022) · Lecture notes in business information processing · doi:10.1007/978-3-030-94238-0_1 · Cited by 10 · see citing works

How I Met Your Data Science Team: A Tale of Effective Communication

Roy, A., Raghunandan, D., Elmqvist, N., & Battle, L. (2023) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl-hcc57772.2023.00032 · Cited by 9 · see citing works

Persist: Persistent and Reusable Interactions in Computational Notebooks

Gadhave, K., Cutler, Z. T., & Lex, A. (2024) · Computer Graphics Forum · doi:10.1111/cgf.15092 · Cited by 9 · see citing works

Prototyping Text Mining and Network Analysis Tools to Support Netnographic Student Projects

Леонидович, М. И., & Bulygin, D. (2020) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v15i10.12313 · Cited by 9 · see citing works

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

Hohman, F., Wang, C., Lee, J., Görtler, J., Moritz, D., Bigham, J. P., Ren, Z., Foret, C., Shan, Q., & Zhang, X. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642628 · Cited by 8 · see citing works

Between Scripts and Applications: Computational Media for the Frontier of Nanoscience

Nouwens, M., Borowski, M., Fog, B. V., & Klokmose, C. N. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376287 · Cited by 8 · see citing works

Themisto: Towards Automated Documentation Generation in Computational Notebooks.Preprint

Wang, A. Y., Wang, D., Drozdal, J., Muller, M. J., Park, S., Weisz, J. D., Liu, X., Wu, L., & Dugan, C. (2021) · arXiv (Cornell University) · Cited by 8 · see citing works

Elevating Jupyter Notebook Maintenance Tooling by Identifying and Extracting Notebook Structures

Jiang, Y. Y., Kästner, C., & Zhou, S. (2022) · IEEE International Conference on Software Maintenance (ICSM) · doi:10.1109/icsme55016.2022.00047 · Cited by 7 · see citing works

A Theory of Scientific Programming Efficacy

Pertseva, E., Chang, M., Zaman, U., & Coblenz, M. J. (2024) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3597503.3639139 · Cited by 7 · see citing works

Between Principle and Pragmatism: Reflections on Prototyping Computational Media with Webstrates

Borowski, M., Fog, B. V., Griggio, C. F., Eagan, J., & Klokmose, C. N. (2022) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3569895 · Cited by 7 · see citing works

Enhancing Computational Notebooks with Code+Data Space Versioning

Fang, H., Chockchowwat, S., Sundaram, H., & Park, Y. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714141 · Cited by 6 · see citing works

Tooling for Developing Data-Driven Applications: Overview and Outlook

Weber, T., & Hußmann, H. (2022) · Mensch und Computer (MuC) · doi:10.1145/3543758.3543779 · Cited by 6 · see citing works

How Do Data Science Workers Communicate Intermediate Results?

Pang, R. Y., Wang, R., Nelson, J., & Battle, L. (2022) · IEEE Visualization in Data Science (VDS) · doi:10.1109/vds57266.2022.00010 · Cited by 6 · see citing works

The Product Beyond the Model - An Empirical Study of Repositories of Open-Source ML Products

Nahar, N., Zhang, H., Lewis, G. A., Zhou, S., & Kästner, C. (2025) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse55347.2025.00006 · Cited by 11 · see citing works

Computational notebooks to support developers in prototyping IoT systems

Corno, F., Russis, L. D., & Sáenz, J. P. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102850 · Cited by 6 · see citing works

InterLink: Linking Text with Code and Output in Computational Notebooks

Lin, Y., Yang, L., Li, H., Qu, H., & Moritz, D. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714104 · Cited by 5 · see citing works

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists

Harrison, G., Bryson, K., Bamba, A. E. B., Dovichi, L., Binion, A. H., Borem, A., & Ur, B. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642755 · Cited by 5 · see citing works

NBGuru: Generating Explorable Data Science Flowcharts to Facilitate Asynchronous Communication in Interdisciplinary Data Science Teams

Keelawat, P. (2023) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3584931.3607020 · Cited by 5 · see citing works

The Role of Organizational Structure in Project Management

Nizma, C., Bangun, R., Benhur, B., Cahyoginarti, C., & Zuardi, M. H. (2024) · Jurnal Syntax Transformation · doi:10.46799/jst.v5i2.928 · Cited by 5 · see citing works

It's a Complete Haystack: Understanding Dependency Management Needs in Computer-Aided Design

Cheng, K., Olechowski, A., & Zhou, S. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757617 · Cited by 4 · see citing works

Pagebreaks: Multi-Cell Scopes in Computational Notebooks

Rawn, E., & Chasins, S. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713620 · Cited by 4 · see citing works

How Scientists Use Jupyter Notebooks: Goals, Quality Attributes, and Opportunities

Huang, R. L., Ravi, S., He, M., Tian, B., Lerner, S., & Coblenz, M. J. (2025) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse55347.2025.00232 · Cited by 4 · see citing works

Facilitating Dependency Exploration in Computational Notebooks

Brown, C., Alhoori, H., & Koop, D. (2023) · Workshop on Human-In-the-Loop Data Analytics (HILDA) · doi:10.1145/3597465.3605222 · Cited by 4 · see citing works

Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists

Chen, A., Wong, C., Sharif, B., & Peruma, A. (2025) · IEEE International Conference on Program Comprehension (ICPC) · doi:10.1109/icpc66645.2025.00043 · Cited by 4 · see citing works

multiverse: Multiplexing Alternative Data Analyses in R NotebooksPreprint

Sarma, A., Kale, A. M., Moon, M. J., Taback, N., Chevalier, F., Hullman, J. R., & Kay, M. (2021) · doi:10.31219/osf.io/yfbwm · Cited by 4 · see citing works

Multiverse Notebook: Shifting Data Scientists to Time Travelers

Sato, S., & Nakamaru, T. (2024) · Proceedings of the ACM on Programming Languages · doi:10.1145/3649838 · Cited by 3 · see citing works

Ciência de Dados com Reprodutibilidade usando Jupyter

Pimentel, J. F., Oliveira, G. P., Silva, M. O., Seufitelli, D. B., & Moro, M. M. (2021) · doi:10.5753/sbc.6757.3.1 · Cited by 3 · see citing works

Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production

Quaranta, L. (2022) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3510454.3517055 · Cited by 3 · see citing works

Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting

Misback, E., Chan, C. C., Saiki, B., Jun, E., Tatlock, Z., & Panchekha, P. (2023) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3586183.3606819 · Cited by 3 · see citing works

Design and Use of Computational Notebooks

Rule, A. (2018) · eScholarship (California Digital Library) · Cited by 10 · see citing works

Splitting, Renaming, Removing: A Study of Common Cleaning Activities in Jupyter Notebooks

Dong, H., Zhou, S., Guo, J., & Kästner, C. (2021) · IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) · doi:10.1109/asew52652.2021.00032 · Cited by 17 · see citing works

LEO: an LLM-Powered EDA Overview

Zheng, S. (2025) · DSpace@MIT (Massachusetts Institute of Technology)

Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks

Li, H., Ying, L., Zhang, H., Wu, Y., Qu, H., & Wang, Y. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580965 · Cited by 38 · see citing works

Jupyter’s Archive: Searchable Output Histories for Computational Notebooks

Chaudhary, K. (2019) · UC Berkeley