{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T04:22:34Z","timestamp":1774585354288,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,1,10]]},"DOI":"10.1145\/3725899.3725904","type":"proceedings-article","created":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T11:33:04Z","timestamp":1752233584000},"page":"31-35","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["An Integrated Software Process Framework to Improve Effectiveness and Explainability in Machine Learning Software Application Development in the Finance Sector"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9263-7596","authenticated-orcid":false,"given":"Danang","family":"Junaedi","sequence":"first","affiliation":[{"name":"School of Computing, Telkom University, Bandung, West Java, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8897-8091","authenticated-orcid":false,"given":"Suyanto","family":"Suyanto","sequence":"additional","affiliation":[{"name":"School of Computing, Telkom University, Bandung, West Java, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6385-7971","authenticated-orcid":false,"given":"Mira Kania","family":"Sabariah","sequence":"additional","affiliation":[{"name":"School of Computing, Telkom University, Bandung, West Java, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7358-5316","authenticated-orcid":false,"given":"Rio Guntur","family":"Utomo","sequence":"additional","affiliation":[{"name":"School of Computing, Telkom University, Bandung, West Java, Indonesia"}]}],"member":"320","published-online":{"date-parts":[[2025,7,11]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"Gartner. Retrieved","author":"Wiles Jackie","year":"2022","unstructured":"Jackie Wiles. 2022. What's New in Artificial Intelligence from the 2022 Gartner Hype Cycle. Gartner. Retrieved December 13, 2023 from https:\/\/www.gartner.com\/en\/articles\/what-s-new-in-artificial-intelligence-from-the-2022-gartner-hype-cycle"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.7861\/futurehosp.6-2-94"},{"key":"e_1_3_3_1_4_2","volume-title":"Retrieved","author":"Vasse'i Ramak Molavi","year":"2023","unstructured":"Ramak Molavi Vasse'i and Jesse Mccrosky. 2023. AI Transparency in Practice Builders on what works-and what doesn't. Mozilla's research on AI transparency, with practical advice from Thoughtworks. Retrieved December 13, 2023 from https:\/\/foundation.mozilla.org\/en\/research\/library\/ai-transparency-in-practice\/ai-transparency-in-practice\/"},{"key":"e_1_3_3_1_5_2","volume-title":"And Segment Forecasts, 2023 - 2030","author":"Research Grand View","year":"2023","unstructured":"Grand View Research. 2023. Artificial Intelligence Market Size, Share & Trends Analysis Report By Solution, By Technology (Deep Learning, Machine Learning), By End-use, By Region, And Segment Forecasts, 2023 - 2030. Grand View Research. Retrieved December 13, 2023 from https:\/\/www.grandviewresearch.com\/industry-analysis\/artificial-intelligence-ai-market#"},{"key":"e_1_3_3_1_6_2","unstructured":"Martin van den Berg and Ouren Kuiper. 2020. XAI In The Financial Sector: A Conceptual Framework For Explainable AI (XAI)."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2022.827584"},{"key":"e_1_3_3_1_8_2","volume-title":"Explainable AI: Requirements, Use Cases and Solutions.","author":"Kraus Lene Ganschow Marlene Authors Tom","year":"2022","unstructured":"Authors Tom Kraus Lene Ganschow Marlene Eisentr\u00e4ger Steffen Wischmann Design. 2022. Explainable AI: Requirements, Use Cases and Solutions."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594053"},{"key":"e_1_3_3_1_10_2","volume-title":"Thirtieth European Conference on Information Systems (ECIS 2022), 2022","author":"Samuli Laato","year":"2022","unstructured":"Laato Samuli, M\u00e4ntym\u00e4ki Matti, Minkkinen Matti, Birkstedt Teemu, Islam A K M Najmul, Denis Laato, Samuli\u202f; M\u00e4ntym\u00e4ki, Matti\u202f; Minkkinen, Matti\u202f; Birkstedt, Teemu\u202f; Islam, and A K M Najmul. 2022. Integrating Machine Learning with Software Development Lifecycles: Insights from Experts. In Thirtieth European Conference on Information Systems (ECIS 2022), 2022. Association for Information Systems (AIS), Poland. Retrieved from https:\/\/aisel.aisnet.org\/ecis2022_rp\/118"},{"key":"e_1_3_3_1_11_2","volume-title":"Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases. (May","author":"Al Alamin Md Abdullah","year":"2021","unstructured":"Md Abdullah Al Alamin and Gias Uddin. 2021. Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases. (May 2021). Retrieved from http:\/\/arxiv.org\/abs\/2105.01195"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3487043"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/SLAAI-ICAI54477.2021.9664736"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-93842-0_6"},{"key":"e_1_3_3_1_15_2","volume-title":"Perspectives on Explainable AI in The Financial Sector. Retrieved","author":"Bank De Nederlandsche","year":"2024","unstructured":"De Nederlandsche Bank. Perspectives on Explainable AI in The Financial Sector. Retrieved January 5, 2024 from https:\/\/www.dnb.nl\/media\/jifijieq\/perspectives-on-explainable-ai-in-the-financial-sector.pdf"},{"key":"e_1_3_3_1_16_2","volume-title":"Ayse Tosun, and Muhammad Ali Babar.","author":"Eken Beyza","year":"2024","unstructured":"Beyza Eken, Samodha Pallewatta, Nguyen Khoi Tran, Ayse Tosun, and Muhammad Ali Babar. 2024. A Multivocal Review of MLOps Practices, Challenges and Open Issues. (June 2024). Retrieved from http:\/\/arxiv.org\/abs\/2406.09737"},{"key":"e_1_3_3_1_17_2","volume-title":"Machine Learning Operations (MLOps): Overview, Definition, and Architecture. (May","author":"Kreuzberger Dominik","year":"2022","unstructured":"Dominik Kreuzberger, Niklas K\u00fchl, and Sebastian Hirschl. 2022. Machine Learning Operations (MLOps): Overview, Definition, and Architecture. (May 2022)."},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.3390\/make3040045"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1201\/9781003478713-9"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.3233\/FAIA230075"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2311.02102"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","unstructured":"Koen W. De Bock Kristof Coussement Arno De Caigny Roman S\u0142owi\u0144ski Bart Baesens Robert N. Boute Tsan Ming Choi Dursun Delen Mathias Kraus Stefan Lessmann Sebasti\u00e1n Maldonado David Martens Mar\u00eda \u00d3skarsd\u00f3ttir Carla Vairetti Wouter Verbeke and Richard Weber. 2023. Explainable AI for Operational Research: A defining framework methods applications and a research agenda. Eur J Oper Res (2023). 10.1016\/j.ejor.2023.09.026","DOI":"10.1016\/j.ejor.2023.09.026"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/RE.2019.00032"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00766-020-00333-1"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"David Gunning and David W Aha. 2019. DARPA's Explainable Artificial Intelligence Program Deep Learning and Security. (2019).","DOI":"10.1145\/3301275.3308446"},{"key":"e_1_3_3_1_26_2","unstructured":"Authors Laurent Dupont Olivier Fliche and Su Yang. 2020. Governance of Artificial Intelligence in Finance Discussion document. France."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1108\/REGE-06-2022-0100"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2022.2081284"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.12720\/jait.12.2.128-134"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.18559\/ebr.2022.1.6"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533237"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.12720\/jait.15.8.914-922"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1609\/hcomp.v10i1.21997"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3571884.3603759"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/3503181.3503195"}],"event":{"name":"ICSIM 2025: 2025 The 8th International Conference on Software Engineering and Information Management","location":"Singapore Singapore","acronym":"ICSIM 2025"},"container-title":["Proceedings of the 2025 8th International Conference on Software Engineering and Information Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3725899.3725904","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T11:34:01Z","timestamp":1752665641000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3725899.3725904"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,10]]},"references-count":35,"alternative-id":["10.1145\/3725899.3725904","10.1145\/3725899"],"URL":"https:\/\/doi.org\/10.1145\/3725899.3725904","relation":{},"subject":[],"published":{"date-parts":[[2025,1,10]]},"assertion":[{"value":"2025-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}