{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:30:38Z","timestamp":1764588638739,"version":"3.41.0"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031975752","type":"print"},{"value":"9783031975769","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T00:00:00Z","timestamp":1751068800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T00:00:00Z","timestamp":1751068800000},"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":[[2026]]},"DOI":"10.1007\/978-3-031-97576-9_6","type":"book-chapter","created":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T09:57:19Z","timestamp":1751709439000},"page":"88-105","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Repository-Level Code Understanding by\u00a0LLMs via\u00a0Hierarchical Summarization: Improving Code Search and\u00a0Bug Localization"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-3490-550X","authenticated-orcid":false,"given":"Amirkia Rafiei","family":"Oskooei","sequence":"first","affiliation":[]},{"given":"Selcan","family":"Yukcu","sequence":"additional","affiliation":[]},{"given":"Mehmet Cevheri","family":"Bozoglan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7908-5067","authenticated-orcid":false,"given":"Mehmet S.","family":"Aktas","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,28]]},"reference":[{"key":"6_CR1","unstructured":"Cursor - The AI Code Editor \u2014 cursor.com. https:\/\/www.cursor.com\/en. Accessed 05 Mar 2025"},{"key":"6_CR2","unstructured":"Windsurf editor and codeium extensions \u2014 codeium.com. https:\/\/codeium.com\/. Accessed 05 Mar 2025"},{"issue":"3","key":"6_CR3","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/j.future.2006.05.009","volume":"23","author":"MS Aktas","year":"2007","unstructured":"Aktas, M.S., Fox, G.C., Pierce, M.: Fault tolerant high performance information services for dynamic collections of grid and web services. Futur. Gener. Comput. Syst. 23(3), 317\u2013337 (2007)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Aydin, G., Aktas, M.S., Sayar, A.: ServoGrid complexity computational environments CCE integrated performance analysis. In: 2005 6th International Workshop on Grid Computing (GRID), pp. 256\u2013261 (2005)","DOI":"10.1109\/GRID.2005.1542750"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Bairi, R., et al.: CodePlan: repository-level coding using LLMs and planning. In: Proceedings of the ACM on Software Engineering 1(FSE), pp. 675\u2013698 (2024)","DOI":"10.1145\/3643757"},{"key":"6_CR6","unstructured":"Chen, J., et al.: CoreQA: uncovering potentials of language models in code repository question answering. arXiv preprint arXiv:2501.03447 (2024)"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Chen, Y., et al.: When large language models confront repository-level automatic program repair: how well they done? In: Proceedings of the 2024 IEEE\/ACM 46th International Conference on Software Engineering: Companion Proceedings, pp. 459\u2013471 (2024)","DOI":"10.1145\/3639478.3647633"},{"issue":"11","key":"6_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3565971","volume":"55","author":"L Di Grazia","year":"2023","unstructured":"Di Grazia, L., Pradel, M.: Code search: a survey of techniques for finding code. ACM Comput. Surv. 55(11), 1\u201331 (2023)","journal-title":"ACM Comput. Surv."},{"key":"6_CR9","unstructured":"Ding, Y., et al.: CoCoMIC: code completion by jointly modeling in-file and cross-file context. arXiv preprint arXiv:2212.10007 (2022)"},{"key":"6_CR10","unstructured":"Douze, M., et al.: The Faiss library. arXiv preprint arXiv:2401.08281 (2024)"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Feng, Z., et al.: CodeBERT: a pre-trained model for programming and natural languages. Findings of the association for computational linguistics: EMNLP 2020 (2020)","DOI":"10.18653\/v1\/2020.findings-emnlp.139"},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Guo, D., et\u00a0al.: UnixCoder: unified cross-modal pre-training for code representation. arXiv preprint arXiv:2205.07754 (2022)","DOI":"10.18653\/v1\/2022.acl-long.499"},{"key":"6_CR13","unstructured":"Guo, J., Wang, C., Xu, X., Su, Z., Zhang, X.: RepoAudit: an autonomous LLM-agent for repository-level code auditing. arXiv preprint arXiv:2501.18160 (2024)"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Huang, R., et\u00a0al.: AudioGPT: understanding and generating speech, music, sound, and talking head. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a038, pp. 23802\u201323804 (2024)","DOI":"10.1609\/aaai.v38i21.30570"},{"key":"6_CR15","unstructured":"Hurst, A., et\u00a0al.: GPT-4o system card. arXiv preprint arXiv:2410.21276 (2024)"},{"key":"6_CR16","unstructured":"Jain, S., Dora, A., Sam, K.S., Singh, P.: LLM agents improve semantic code search. arXiv preprint arXiv:2408.11058 (2024)"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Li, H., Zhou, X., Shen, Z.: Rewriting the code: a simple method for large language model augmented code search. arXiv preprint arXiv:2401.04514 (2024)","DOI":"10.18653\/v1\/2024.acl-long.75"},{"key":"6_CR18","unstructured":"Ma, Y., Yang, Q., Cao, R., Li, B., Huang, F., Li, Y.: How to understand whole software repository? arXiv preprint arXiv:2406.01422 (2024)"},{"key":"6_CR19","doi-asserted-by":"publisher","unstructured":"McKinzie, B., et\u00a0al.: Mm1: methods, analysis and insights from multimodal LLM pre-training. In: European Conference on Computer Vision, pp. 304\u2013323. Springer (2024). https:\/\/doi.org\/10.1007\/978-3-031-73397-0_18","DOI":"10.1007\/978-3-031-73397-0_18"},{"issue":"12","key":"6_CR20","doi-asserted-by":"publisher","first-page":"1717","DOI":"10.1002\/cpe.1199","volume":"19","author":"MA Nacar","year":"2007","unstructured":"Nacar, M.A., Aktas, M.S., Yuen, D.A.: VLAB: collaborative grid services and portals to support computational material science. Concurr. Comput. Pract. Exp. 19(12), 1717\u20131728 (2007)","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"6_CR21","doi-asserted-by":"crossref","unstructured":"Olmezogullari, E., Aktas, M.S.: Representation of click-stream data sequences for learning user navigational behavior by using embeddings. In: 2020 IEEE International Conference on Big Data (Big Data), pp. 3173\u20133179 (2020)","DOI":"10.1109\/BigData50022.2020.9378437"},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Olmezogullari, E., Aktas, M.S.: Pattern2Vec: Representation of clickstream data sequences for learning user navigational behavior. Concurr. Comput. Pract. Exp. 34(9) (2022)","DOI":"10.1002\/cpe.6546"},{"key":"6_CR23","unstructured":"Oskooei, A.R.: On the use of data parallelism technologies for implementing statistical analysis functions. In: The 14th International Workshop on Computer Science and Engineering (WCSE 2024), pp. 94\u2013102 (2024)"},{"key":"6_CR24","unstructured":"Oskooei, A.R., Babacan, M.S., Ya\u011fc\u0131, E., Alptekin, \u00c7., Bu\u011fday, A.: Beyond synthetic benchmarks: assessing recent LLMs for code generation. In: The 14th International Workshop on Computer Science and Engineering (WCSE 2024), pp. 290\u2013296 (2024)"},{"key":"6_CR25","unstructured":"Qin, Y., et al.: AgentFL: Scaling LLM-based fault localization to project-level context. arXiv preprint arXiv:2403.16362 (2024)"},{"issue":"1","key":"6_CR26","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3390\/computers14010007","volume":"14","author":"A Rafiei Oskooei","year":"2024","unstructured":"Rafiei Oskooei, A., Akta\u015f, M.S., Kele\u015f, M.: Seeing the sound: multilingual lip sync for real-time face-to-face translation. Computers 14(1), 7 (2024)","journal-title":"Computers"},{"key":"6_CR27","doi-asserted-by":"publisher","unstructured":"Sahinoglu, M., Incki, K., Aktas, M.S.: Mobile application verification: a systematic mapping study. In: Gervasi, O., et al. (eds.) ICCSA 2015. LNCS, vol. 9159, pp. 147\u2013163. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-21413-9_11","DOI":"10.1007\/978-3-319-21413-9_11"},{"key":"6_CR28","unstructured":"Shen, Z., et\u00a0al.: SlimPajama-DC: understanding data combinations for LLM training. arXiv preprint arXiv:2309.10818 (2023)"},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Tufek, A., Gurbuz, A., Aktas, M.S.: Provenance collection platform for the weather research and forecasting model. In: 2018 14th International Conference on Semantics, Knowledge and Grids (SKG), pp. 17\u201324 (2018)","DOI":"10.1109\/SKG.2018.00009"},{"key":"6_CR30","doi-asserted-by":"crossref","unstructured":"Wang, Y., et\u00a0al.: You augment me: Exploring ChatGPT-based data augmentation for semantic code search. In: 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 14\u201325. IEEE (2023)","DOI":"10.1109\/ICSME58846.2023.00014"},{"key":"6_CR31","unstructured":"Warner, B., et\u00a0al.: Smarter, better, faster, longer: a modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference. arXiv preprint arXiv:2412.13663 (2024)"},{"key":"6_CR32","doi-asserted-by":"crossref","unstructured":"Zhang, F., et al.: RepoCoder: repository-level code completion through iterative retrieval and generation. arXiv preprint arXiv:2303.12570 (2024)","DOI":"10.18653\/v1\/2023.emnlp-main.151"},{"key":"6_CR33","unstructured":"Zhang, W., et al.: GraphCoder: enhancing repository-level code completion via code context graph-based retrieval and language model. arXiv preprint arXiv:2406.07003 (2024)"},{"key":"6_CR34","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Ruan, H., Fan, Z., Roychoudhury, A.: AutoCodeRover: autonomous program improvement. In: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 1592\u20131604 (2024)","DOI":"10.1145\/3650212.3680384"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2025 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-97576-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T09:57:27Z","timestamp":1751709447000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-97576-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,28]]},"ISBN":["9783031975752","9783031975769"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-97576-9_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,28]]},"assertion":[{"value":"28 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Istanbul","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"T\u00fcrkiye","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}