{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:10:17Z","timestamp":1784178617970,"version":"3.55.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3566309","type":"journal-article","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T17:17:39Z","timestamp":1746206259000},"page":"85526-85542","source":"Crossref","is-referenced-by-count":3,"title":["Automated Insights Into GitHub Collaboration Dynamics"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4245-870X","authenticated-orcid":false,"given":"Jie","family":"Bian","sequence":"first","affiliation":[{"name":"Department of Informatics, University of Oslo, Oslo, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1867-9405","authenticated-orcid":false,"given":"Nikolay","family":"Arefev","sequence":"additional","affiliation":[{"name":"Department of Informatics, University of Oslo, Oslo, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4713-5327","authenticated-orcid":false,"given":"Max","family":"M\u00fchlh\u00e4user","sequence":"additional","affiliation":[{"name":"Department of Informatics, Technical University of Darmstadt, Darmstadt, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8179-599X","authenticated-orcid":false,"given":"Michael","family":"Welzl","sequence":"additional","affiliation":[{"name":"Department of Informatics, University of Oslo, Oslo, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"GitHub marketplace for practitioners and researchers to date: A systematic analysis of the knowledge mobilization gap in open source software automation","author":"Saroar","year":"2022","journal-title":"arXiv:2208.00332"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3540250.3549156"},{"key":"ref3","first-page":"1","article-title":"SWE-bench: Can language models resolve real-world GitHub issues?","volume-title":"Proc. 12th Int. Conf. Learn. Represent.","author":"Jimenez-Gomez"},{"key":"ref4","volume-title":"Agile Software Development: Principles, Patterns, and Practices","author":"Martin","year":"2003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3660813"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"ref7","first-page":"6769","article-title":"Dense passage retrieval for open-domain question answering","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process. (EMNLP)","author":"Karpukhin"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref9","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics, Hum. Lang. Technol.","volume":"1","author":"Devlin"},{"issue":"8","key":"ref10","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI blog"},{"key":"ref11","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Brown"},{"key":"ref12","article-title":"GPT-4 technical report","volume-title":"arXiv:2303.08774","author":"Achiam","year":"2023"},{"key":"ref13","article-title":"BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension","author":"Lewis","year":"2019","journal-title":"arXiv:1910.13461"},{"issue":"140","key":"ref14","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref15","article-title":"Encoder vs decoder: Comparative analysis of encoder and decoder language models on multilingual NLU tasks","author":"Saattrup Nielsen","year":"2024","journal-title":"arXiv:2406.13469"},{"key":"ref16","article-title":"MS MARCO: A human generated MAchine reading COmprehension dataset","author":"Bajaj","year":"2016","journal-title":"arXiv:1611.09268"},{"key":"ref17","article-title":"BEIR: A heterogeneous benchmark for zero-shot evaluation of information retrieval models","volume-title":"Proc. 35th Conf. Neural Inf. Process. Syst. Datasets Benchmarks Track","author":"Thakur"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.eacl-main.148"},{"key":"ref19","article-title":"Text embeddings by weakly-supervised contrastive pre-training","author":"Wang","year":"2022","journal-title":"arXiv:2212.03533"},{"key":"ref20","article-title":"C-pack: Packed resources for general Chinese embeddings","author":"Xiao","year":"2023","journal-title":"arXiv:2309.07597"},{"key":"ref21","article-title":"Generative representational instruction tuning","author":"Muennighoff","year":"2024","journal-title":"arXiv:2402.09906"},{"key":"ref22","article-title":"Promptriever: Instruction-trained retrievers can be prompted like language models","author":"Weller","year":"2024","journal-title":"arXiv:2409.11136"},{"key":"ref23","first-page":"11897","article-title":"Improving text embeddings with large language models","volume-title":"Proc. 62nd Annu. Meeting Assoc. Comput. Linguistics","author":"Wang"},{"key":"ref24","article-title":"Mistral 7B","author":"Jiang","year":"2023","journal-title":"arXiv:2310.06825"},{"key":"ref25","article-title":"Llama 2: Open foundation and fine-tuned chat models","author":"Touvron","year":"2023","journal-title":"arXiv:2307.09288"},{"key":"ref26","article-title":"LLaMA: Open and efficient foundation language models","author":"Touvron","year":"2023","journal-title":"arXiv:2302.13971"},{"key":"ref27","article-title":"Code llama: Open foundation models for code","author":"Rozi\u00e8re","year":"2023","journal-title":"arXiv:2308.12950"},{"key":"ref28","volume-title":"Peft: State-of-the-art Parameter-efficient Fine-tuning Methods","author":"Mangrulkar","year":"2022"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3563766.3564084"},{"key":"ref30","volume-title":"Llama 3 Model Card","year":"2024"},{"key":"ref31","article-title":"Mixtral of experts","author":"Jiang","year":"2024","journal-title":"arXiv:2401.04088"},{"key":"ref32","article-title":"Fine-tuning LLaMA for multi-stage text retrieval","author":"Ma","year":"2023","journal-title":"arXiv:2310.08319"},{"key":"ref33","article-title":"Mixed precision training","author":"Micikevicius","year":"2017","journal-title":"arXiv:1710.03740"},{"key":"ref34","first-page":"551","article-title":"Zero-offload: Democratizing billion-scale model training","volume-title":"Proc. USENIX Annu. Tech. Conf. (USENIX ATC)","author":"Ren"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29885"},{"key":"ref36","article-title":"BRIGHT: A realistic and challenging benchmark for reasoning-intensive retrieval","author":"Su","year":"2024","journal-title":"arXiv:2407.12883"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3664194"},{"key":"ref38","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lee"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/APSEC.2018.00053"},{"key":"ref40","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lewis"},{"key":"ref41","doi-asserted-by":"crossref","DOI":"10.17487\/rfc2026","volume-title":"The Internet Standards Process\u2014Revision 3","author":"Bradner","year":"1996"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.08.191"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-019-09772-z"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10982058.pdf?arnumber=10982058","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T05:05:00Z","timestamp":1747803900000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10982058\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3566309","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}