{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T11:48:50Z","timestamp":1771588130671,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","funder":[{"name":"Italian Ministry of University and Research","award":["P2022553SL"],"award-info":[{"award-number":["P2022553SL"]}]},{"name":"Italian Ministry of University and Research","award":["2020W3A5FY"],"award-info":[{"award-number":["2020W3A5FY"]}]},{"name":"Italian Ministry of University and Research","award":["PE0000013"],"award-info":[{"award-number":["PE0000013"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,17]]},"DOI":"10.1145\/3727967.3756824","type":"proceedings-article","created":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T11:53:17Z","timestamp":1766490797000},"page":"72-81","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Catalog of Fairness-Aware Practices in Machine Learning Engineering"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5394-8148","authenticated-orcid":false,"given":"Gianmario","family":"Voria","sequence":"first","affiliation":[{"name":"University of Salerno, Fisciano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5491-0873","authenticated-orcid":false,"given":"Giulia","family":"Sellitto","sequence":"additional","affiliation":[{"name":"University of Salerno, Fisciano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2590-436X","authenticated-orcid":false,"given":"Carmine","family":"Ferrara","sequence":"additional","affiliation":[{"name":"University of Salerno, Fisciano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8391-3882","authenticated-orcid":false,"given":"Francesco","family":"Abate","sequence":"additional","affiliation":[{"name":"University of Salerno, Fisciano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4238-1425","authenticated-orcid":false,"given":"Andrea","family":"De Lucia","sequence":"additional","affiliation":[{"name":"University of Salerno, Fisciano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0975-8972","authenticated-orcid":false,"given":"Filomena","family":"Ferrucci","sequence":"additional","affiliation":[{"name":"University of Salerno, Fisciano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4689-3401","authenticated-orcid":false,"given":"Gemma","family":"Catolino","sequence":"additional","affiliation":[{"name":"University of Salerno, Fisciano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9337-5116","authenticated-orcid":false,"given":"Fabio","family":"Palomba","sequence":"additional","affiliation":[{"name":"University of Salerno, Fisciano, Italy"}]}],"member":"320","published-online":{"date-parts":[[2025,12,23]]},"reference":[{"key":"e_1_3_3_2_2_2","unstructured":"Julia Angwin and Jeff Larson. 2016. Machine Bias - There\u2019s software used across the country to predict future criminals. And it\u2019s biased against blacks. https:\/\/www.propublica.org\/article\/machine-bias-risk-assessments-in-criminal-sentencing."},{"key":"e_1_3_3_2_3_2","unstructured":"Anonymous. [n. d.]. Online Appendix. https:\/\/figshare.com\/s\/da827f01c6ad54d0f57d"},{"key":"e_1_3_3_2_4_2","unstructured":"Muhammad\u00a0Hilmi Asyrofi Zhou Yang Imam Nur\u00a0Bani Yusuf Hong\u00a0Jin Kang Ferdian Thung and David Lo. 2021. Biasfinder: Metamorphic test generation to uncover bias for sentiment analysis systems. IEEE Transactions on Software Engineering 48 12 (2021) 5087\u20135101."},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/REW.2019.00051"},{"key":"e_1_3_3_2_6_2","first-page":"355","volume-title":"Large Language Model Assisted Software Engineering: Prospects, Challenges, and a Case Study","author":"Belzner Lenz","year":"2023","unstructured":"Lenz Belzner, Thomas Gabor, and Martin Wirsing. 2023. Large Language Model Assisted Software Engineering: Prospects, Challenges, and a Case Study. 355\u2013374. doi:10.1007\/978-3-031-46002-923"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3236024.3264838"},{"key":"e_1_3_3_2_8_2","volume-title":"Machine learning engineering","author":"Burkov Andriy","year":"2020","unstructured":"Andriy Burkov. 2020. Machine learning engineering. Vol.\u00a01. True Positive Incorporated."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3468264.3468537"},{"key":"e_1_3_3_2_10_2","unstructured":"Joymallya Chakraborty Tianpei Xia Fahmid\u00a0M Fahid and Tim Menzies. 2019. Software engineering for fairness: A case study with hyperparameter optimization. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1905.05786 (2019)."},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3639083"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"crossref","unstructured":"Jeffrey Dastin. 2018. Amazon scraps secret AI recruiting tool that showed bias against women. https:\/\/cutt.ly\/VKWLqF1. Accessed: 2022-03-29.","DOI":"10.1201\/9781003278290-44"},{"key":"e_1_3_3_2_13_2","unstructured":"Vincenzo De\u00a0Martino Gianmario Voria Ciro Troiano Gemma Catolino and Fabio Palomba. [n. d.]. Examining the Impact of Bias Mitigation Algorithms on the Sustainability of Ml-Enabled Systems: A Benchmark Study. Available at SSRN 4966447 ([n. d.])."},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533113"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Carmine Ferrara Giulia Sellitto Filomena Ferrucci Fabio Palomba and Andrea De\u00a0Lucia. 2024. Fairness-aware machine learning engineering: how far are we? Empirical software engineering 29 1 (2024) 9.","DOI":"10.1007\/s10664-023-10402-y"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/RE.2008.61"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3106237.3106277"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Max Hort Zhenpeng Chen Jie\u00a0M. Zhang Mark Harman and Federica Sarro. 2024. Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey. ACM J. Responsib. Comput. 1 2 Article 11 (June 2024) 52\u00a0pages. doi:10.1145\/3631326","DOI":"10.1145\/3631326"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3582269.3615599"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445261"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3510003.3510091"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Silverio Mart\u00ednez-Fern\u00e1ndez Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna\u00a0Maria Vollmer and Stefan Wagner. 2022. Software Engineering for AI-Based Systems: A Survey. ACM Transactions on Software Engineering and Methodology 31 2 (2022). doi:10.1145\/3487043","DOI":"10.1145\/3487043"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Ninareh Mehrabi Fred Morstatter Nripsuta Saxena Kristina Lerman and Aram Galstyan. 2021. A survey on bias and fairness in machine learning. ACM Computing Surveys (CSUR) 54 6 (2021) 1\u201335.","DOI":"10.1145\/3457607"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Arghavan Moradi Dakhel Vahid Majdinasab Amin Nikanjam Foutse Khomh Michel\u00a0C. Desmarais and Zhen Ming\u00a0(Jack) Jiang. 2023. GitHub Copilot AI pair programmer: Asset or Liability? Journal of Systems and Software 203 (2023) 111734. doi:10.1016\/j.jss.2023.111734","DOI":"10.1016\/j.jss.2023.111734"},{"key":"e_1_3_3_2_25_2","unstructured":"Zafeiria Moumoulidou Andrew McGregor and Alexandra Meliou. 2020. Diverse Data Selection under Fairness Constraints. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2010.09141 (2020)."},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"crossref","unstructured":"Ziad Obermeyer Brian Powers Christine Vogeli and Sendhil Mullainathan. 2019. Dissecting racial bias in an algorithm used to manage the health of populations. Science 366 6464 (2019) 447\u2013453.","DOI":"10.1126\/science.aax2342"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.14236\/ewic\/EASE2008.8"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"crossref","unstructured":"Kai Petersen Sairam Vakkalanka and Ludwik Kuzniarz. 2015. Guidelines for conducting systematic mapping studies in software engineering: An update. Information and software technology 64 (2015) 1\u201318.","DOI":"10.1016\/j.infsof.2015.03.007"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"crossref","unstructured":"Christoph Treude and Hideaki Hata. 2023. She Elicits Requirements and He Tests: Software Engineering Gender Bias in Large Language Models. arxiv:https:\/\/arXiv.org\/abs\/2303.10131\u00a0[cs.SE]","DOI":"10.1109\/MSR59073.2023.00088"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412705"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3194770.3194776"},{"key":"e_1_3_3_2_32_2","unstructured":"Mengyi Wei and Zhixuan Zhou. 2022. AI Ethics Issues in Real World: Evidence from AI Incident Database. arxiv:https:\/\/arXiv.org\/abs\/2206.07635\u00a0[cs.AI]"},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"crossref","unstructured":"Marilyn\u00a0Domas White and Emily\u00a0E Marsh. 2006. Content analysis: A flexible methodology. Library trends 55 1 (2006) 22\u201345.","DOI":"10.1353\/lib.2006.0053"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/2601248.2601268"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE43902.2021.00129"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.5555\/3265834"}],"event":{"name":"EASE Companion '25: Evaluation and Assessment in Software Engineering","location":"Istanbul Turkiye","acronym":"EASE Companion '25"},"container-title":["Proceedings of the 2025 29th International Conference on Evaluation and Assessment in Software Engineering Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3727967.3756824","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T12:08:28Z","timestamp":1766491708000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3727967.3756824"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,17]]},"references-count":35,"alternative-id":["10.1145\/3727967.3756824","10.1145\/3727967"],"URL":"https:\/\/doi.org\/10.1145\/3727967.3756824","relation":{},"subject":[],"published":{"date-parts":[[2025,6,17]]},"assertion":[{"value":"2025-12-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}