{"id":842101,"date":"2022-05-04T15:24:21","date_gmt":"2022-05-04T22:24:21","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=842101"},"modified":"2022-06-03T02:44:50","modified_gmt":"2022-06-03T09:44:50","slug":"a-static-analysis-framework-for-data-science-notebooks","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-static-analysis-framework-for-data-science-notebooks\/","title":{"rendered":"A Static Analysis Framework for Data Science Notebooks"},"content":{"rendered":"
Notebooks provide an interactive environment for programmers to develop code, analyse data and inject interleaved visualizations in a single environment. Despite their flexibility, a major pitfall that data scientists encounter is unexpected behaviour caused by the unique out-of-order execution model of notebooks. As a result, data scientists face various challenges ranging from notebook correctness, reproducibility and cleaning. In this paper, we propose a framework that performs static analysis on notebooks, incorporating their unique execution semantics. Our framework is general in the sense that it accommodate for a wide range of analyses, useful for various notebook use cases. We have instantiated our framework on a diverse set of analyses and have evaluated them on 2211 real world notebooks. Our evaluation demonstrates that the vast majority (98.7%) of notebooks can be analysed in less than a second, well within the time frame required by interactive notebook clients<\/p>\n","protected":false},"excerpt":{"rendered":"
Notebooks provide an interactive environment for programmers to develop code, analyse data and inject interleaved visualizations in a single environment. Despite their flexibility, a major pitfall that data scientists encounter is unexpected behaviour caused by the unique out-of-order execution model of notebooks. As a result, data scientists face various challenges ranging from notebook correctness, reproducibility […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13560,13558],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[249193,246691,248737,248116,264436,256165,255358,256360,251968,252046],"msr-conference":[259390],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-842101","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-programming-languages-software-engineering","msr-research-area-security-privacy-cryptography","msr-locale-en_us","msr-field-of-study-code-cryptography","msr-field-of-study-computer-science","msr-field-of-study-correctness","msr-field-of-study-data-science","msr-field-of-study-execution-model","msr-field-of-study-flexibility-engineering","msr-field-of-study-semantics-computer-science","msr-field-of-study-set-abstract-data-type","msr-field-of-study-static-analysis","msr-field-of-study-use-case"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2022-5-13","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/05\/ICSE.pdf","id":"844651","title":"icse","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":844651,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/05\/ICSE.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Pavle Suboti\u0107","user_id":40420,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Pavle Suboti\u0107"},{"type":"guest","value":"lazar-milikic","user_id":842107,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=lazar-milikic"},{"type":"guest","value":"milan-stojic","user_id":842110,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=milan-stojic"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[838618],"msr_group":[],"msr_project":[849883],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":849883,"post_title":"NBLyzer: A static analysis framework for data science notebooks","post_name":"nblyzer-a-static-analysis-framework-for-data-science-notebooks","post_type":"msr-project","post_date":"2022-06-03 02:02:15","post_modified":"2022-06-03 07:04:04","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/nblyzer-a-static-analysis-framework-for-data-science-notebooks\/","post_excerpt":"A static analysis framework for data science notebooks Notebooks provide an interactive environment for programmers to develop code, analyse data and inject interleaved visualisations in a single environment. Despite their flexibility, a major pitfall that data scientists encounter is unexpected behaviour caused by the unique out-of-order execution model of notebooks. As a result, data scientists face various challenges ranging from notebook correctness, reproducibility and cleaning. 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