{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T18:26:54Z","timestamp":1771612014232,"version":"3.50.1"},"reference-count":14,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Softw."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/ms.2024.3440190","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T18:00:45Z","timestamp":1723140045000},"page":"74-83","source":"Crossref","is-referenced-by-count":7,"title":["A State-of-the-Practice Release-Readiness Checklist for Generative AI-Based Software Products: A Gray Literature Survey"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1399-0747","authenticated-orcid":false,"given":"Harsh","family":"Patel","sequence":"first","affiliation":[{"name":"Queen&#x2019;s University, Kingston, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominique","family":"Boucher","sequence":"additional","affiliation":[{"name":"National Bank of Canada, Montreal, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5024-4868","authenticated-orcid":false,"given":"Emad","family":"Fallahzadeh","sequence":"additional","affiliation":[{"name":"Queen&#x2019;s University, Kingston, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7749-5513","authenticated-orcid":false,"given":"Ahmed E.","family":"Hassan","sequence":"additional","affiliation":[{"name":"Queen&#x2019;s University, Kingston, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7213-4006","authenticated-orcid":false,"given":"Bram","family":"Adams","sequence":"additional","affiliation":[{"name":"Queen&#x2019;s University, Kingston, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3695988"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/bigdata.2017.8258038"},{"key":"ref3","volume-title":"Rules of machine learning: Best practices for ML engineering","author":"Zinkevich","year":"2024"},{"key":"ref4","volume-title":"ML model production checklist - Engineering Fundamentals Playbook","year":"2024"},{"key":"ref5","article-title":"Others GPT-4 technical report","author":"Achiam","year":"2023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3084226.3084252"},{"key":"ref7","volume-title":"LLMs in production conference - EventMLOps Community","year":"2024"},{"key":"ref8","volume-title":"Emerging architectures for LLM applications","author":"Bornstein","year":"2024"},{"key":"ref9","volume-title":"Building LLM applications for production","year":"2024"},{"key":"ref10","volume-title":"State of AI report 2023","author":"Benaich","year":"2024"},{"key":"ref11","volume-title":"Gartner generative AI: What is it, tools, models, applications and use cases","year":"2024"},{"key":"ref12","first-page":"350","article-title":"Testing the reliability of content analysis data","volume-title":"The Content Analysis Reader","author":"Krippendorff","year":"2009"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.225"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.167"}],"container-title":["IEEE Software"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/52\/10777623\/10630805.pdf?arnumber=10630805","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T18:52:32Z","timestamp":1733511152000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10630805\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":14,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/ms.2024.3440190","relation":{},"ISSN":["0740-7459","1937-4194"],"issn-type":[{"value":"0740-7459","type":"print"},{"value":"1937-4194","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}