{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:45:19Z","timestamp":1743111919516,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031492655"},{"type":"electronic","value":"9783031492662"}],"license":[{"start":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:00:00Z","timestamp":1701475200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:00:00Z","timestamp":1701475200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-49266-2_10","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T12:03:14Z","timestamp":1701432194000},"page":"151-158","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning"],"prefix":"10.1007","author":[{"given":"Lisa","family":"J\u00f6ckel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Kl\u00e4s","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janek","family":"Gro\u00df","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pascal","family":"Gerber","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Scholz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Eberle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Teschner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Seifert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Hawkins","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Molloy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jens","family":"Ottnad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,12,2]]},"reference":[{"key":"10_CR1","unstructured":"GSN Community Standard Version 1 (2011). https:\/\/scsc.uk\/r141:1?t=1. Accessed 28 July 2023"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Feather, M.S., Slingerland, P.C., Guerrini, S., Spolaor, M.: Assurance guidance for machine learning in a safety-critical system. In: WAAM 2022 (2022)","DOI":"10.1109\/ISSREW55968.2022.00098"},{"key":"10_CR3","unstructured":"Kl\u00e4s, M., Adler, R., J\u00f6ckel, L., Gro\u00df, J., Reich, J.: Using complementary risk acceptance criteria to structure assurance cases for safety-critical AI components. In: AISafety 2021 (2021)"},{"key":"10_CR4","unstructured":"Hawkins, R., et al.: Guidance on the assurance of machine learning in autonomous systems (AMLAS). arXiv preprint arXiv:2102.01564 (2021)"},{"key":"10_CR5","unstructured":"ASCE Software Overview. https:\/\/www.adelard.com\/asce\/. Accessed 28 July 2023"},{"key":"10_CR6","unstructured":"Integrated Safety Case Development Environment. http:\/\/www.iscade.co.uk\/. Accessed 28 July 2023"},{"key":"10_CR7","unstructured":"Astah GSN. https:\/\/astah.net\/products\/astah-gsn\/. Accessed 28 July 2023"},{"key":"10_CR8","doi-asserted-by":"crossref","unstructured":"Adedjouma, M., et al.: Engineering dependable AI systems. In: SOSE 2022 (2022)","DOI":"10.1109\/SOSE55472.2022.9812672"},{"key":"10_CR9","unstructured":"Moncada, V., Santiago, V.: Towards proper tool support for component-oriented and model-based development of safety critical systems. Commer. Veh. Technol. (2016)"},{"key":"10_CR10","unstructured":"Kluyver, T., et al.: Jupyter Notebooks-a publishing format for reproducible computational workflows. In: ElPub 2016 (2016)"},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Hauer, M.P., Adler, R., Zweig, K.: Assuring fairness of algorithmic decision making. In: ITEQS 2021 (2021)","DOI":"10.1109\/ICSTW52544.2021.00029"},{"key":"10_CR12","unstructured":"Rushby, J.M., Xu, X., Rangarajan, M., Weaver, T.L.: Understanding and evaluating assurance cases. NASA Technical Report No. NF1676L-22111 (2015)"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Wei, R., Kelly, T.P., Dai, X., Zhao, S., Hawkins, R.: Model based system assurance using the structured assurance case metamodel. J. Syst. Softw. (2019)","DOI":"10.1016\/j.jss.2019.05.013"},{"key":"10_CR14","unstructured":"BSI, Fraunhofer HHI, Verband der T\u00dcV. Towards Auditable AI Systems (2021)"},{"key":"10_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/978-3-319-99229-7_6","volume-title":"Computer Safety, Reliability, and Security","author":"M Maksimov","year":"2018","unstructured":"Maksimov, M., Fung, N.L.S., Kokaly, S., Chechik, M.: Two decades of assurance case tools: a survey. In: Gallina, B., Skavhaug, A., Schoitsch, E., Bitsch, F. (eds.) SAFECOMP 2018. LNCS, vol. 11094, pp. 49\u201359. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99229-7_6"},{"key":"10_CR16","unstructured":"AMLAS Tool. https:\/\/www.york.ac.uk\/assuring-autonomy\/guidance\/amlas\/amlas-tool\/. Accessed 28 July 2023"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Zeller, M., Sorokos, I., Reich, J., Adler, R., Schneider, D.: Open dependability exchange metamodel: a format to exchange safety information. In: RAMS 2023 (2023)","DOI":"10.1109\/RAMS51473.2023.10088190"},{"key":"10_CR18","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. (2011)"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"J\u00f6ckel, L., Bauer, T., Kl\u00e4s, M., Hauer, M.: Towards a common testing terminology for software engineering and data science experts. In: PROFES 2021 (2021)","DOI":"10.1007\/978-3-030-91452-3_19"},{"key":"10_CR20","unstructured":"Kl\u00e4s, M., J\u00f6ckel, L., Adler, R., Reich, J.: Integrating testing and operation-related quantitative evidences in assurance cases to argue safety of data-driven AI\/ML components. arXiv preprint arXiv:2202.05313 (2022)"},{"key":"10_CR21","doi-asserted-by":"crossref","unstructured":"J\u00f6ckel, L., Kl\u00e4s, M.: Increasing trust in data-driven model validation \u2013 a framework for probabilistic augmentation of images and meta-data generation using application scope characteristics. In: SafeComp 2019 (2019)","DOI":"10.1007\/978-3-030-26601-1_11"},{"key":"10_CR22","unstructured":"Siebert, J., Seifert, D., Kelbert, P., Kl\u00e4s, M., Trendowicz, A.: Badgers: generating data quality deficits with python. arXiv preprint arXiv:2307.04468 (2023)"},{"key":"10_CR23","unstructured":"IEC. IEC 61508-5:2010 \u2013 Functional Safety of Electrical\/Electronic\/Programmable Electronic Safety-related Systems (2021)"},{"key":"10_CR24","doi-asserted-by":"crossref","unstructured":"Northcutt, C.G., Jiang, L., Chuang, I.L.: Confident learning: estimating uncertainty in dataset labels. Artif. Intell. Res. (2021)","DOI":"10.1613\/jair.1.12125"}],"container-title":["Lecture Notes in Computer Science","Product-Focused Software Process Improvement"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-49266-2_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T12:05:18Z","timestamp":1701432318000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-49266-2_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,2]]},"ISBN":["9783031492655","9783031492662"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-49266-2_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,12,2]]},"assertion":[{"value":"2 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PROFES","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Product-Focused Software Process Improvement","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dornbirn","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Austria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"profes2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.researchr.org\/home\/profes-2023","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"82","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.8","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}