{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/129642"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/129642","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Enhancing computational notebooks with code+data space versioning","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","abstract_has_math":false,"creators":["Fang, Hanxi"],"institution":"University of Illinois Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Park, Yongjoo"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-05-09","date_published":"2025-05-09","updated_at":"2026-07-22T22:25:05Z","subjects":["Computational Notebooks","Version Control Systems","Code+data Version Control","Notebook Kernel State Checkpoints","Interactive Data Science Checkpoints","Version Control User Interfaces","Ai-agent"],"languages":["en","eng"],"rights":["Copyright 2025 Hanxi Fang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/129642","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Park, Yongjoo"]},{"key":"dc:creator","label":"Author","values":["Fang, Hanxi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-05-09","2025-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computational Notebooks","Version Control Systems","Code+data Version Control","Notebook Kernel State Checkpoints","Interactive Data Science Checkpoints","Version Control User Interfaces","Ai-agent"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2025 Hanxi Fang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/129642"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","The student, Hanxi Fang, accepted the attached license on 2025-05-07 at 17:26.","The student, Hanxi Fang, submitted this Thesis for approval on 2025-05-07 at 17:33.","This Thesis was approved for publication on 2025-05-09 at 16:23.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22261 on 2025-10-19 at 19:17:14","There is a significant gap between how people explore data and how Jupyter-like computational notebooks are designed. People explore data nonlinearly, using execution undos, branching, and/or complete reverts, whereas computational notebooks are designed for sequential exploration only. Recent works like ForkIt are still insufficient to support these multiple modes of nonlinear exploration in a unified way. In this work, we address the challenge by proposing two-dimensional code+data space versioning for computational notebooks and verifying its effectiveness using our prototype, Kishuboard, which seamlessly integrates with Jupyter. By adjusting code and data knobs, users of Kishuboard can intuitively manage the state of computational notebooks in a flexible way, thereby achieving both execution rollbacks and checkouts across complex multi-branch exploration history. Moreover, this two-dimensional versioning mechanism can easily be presented along with a friendly one-dimensional history. Human-subject and LLM-agent-based studies indicate that Kishuboard can significantly enhance user productivity in various data science tasks"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Enhancing computational notebooks with code+data space versioning"]}]}],"canonical_facts":{"dc:contributor":["Park, Yongjoo"],"dc:creator":["Fang, Hanxi"],"dc:date":["2025-05-09","2025-05"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","The student, Hanxi Fang, accepted the attached license on 2025-05-07 at 17:26.","The student, Hanxi Fang, submitted this Thesis for approval on 2025-05-07 at 17:33.","This Thesis was approved for publication on 2025-05-09 at 16:23.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22261 on 2025-10-19 at 19:17:14","There is a significant gap between how people explore data and how Jupyter-like computational notebooks are designed. People explore data nonlinearly, using execution undos, branching, and/or complete reverts, whereas computational notebooks are designed for sequential exploration only. Recent works like ForkIt are still insufficient to support these multiple modes of nonlinear exploration in a unified way. In this work, we address the challenge by proposing two-dimensional code+data space versioning for computational notebooks and verifying its effectiveness using our prototype, Kishuboard, which seamlessly integrates with Jupyter. By adjusting code and data knobs, users of Kishuboard can intuitively manage the state of computational notebooks in a flexible way, thereby achieving both execution rollbacks and checkouts across complex multi-branch exploration history. Moreover, this two-dimensional versioning mechanism can easily be presented along with a friendly one-dimensional history. Human-subject and LLM-agent-based studies indicate that Kishuboard can significantly enhance user productivity in various data science tasks"],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/129642"],"dc:language":["en","eng"],"dc:rights":["Copyright 2025 Hanxi Fang"],"dc:subject":["Computational Notebooks","Version Control Systems","Code+data Version Control","Notebook Kernel State Checkpoints","Interactive Data Science Checkpoints","Version Control User Interfaces","Ai-agent"],"dc:title":["Enhancing computational notebooks with code+data space versioning"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:05Z"}