{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T05:26:00Z","timestamp":1770528360715,"version":"3.49.0"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032155375","type":"print"},{"value":"9783032155382","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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\/978-3-032-15538-2_42","type":"book-chapter","created":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T06:29:47Z","timestamp":1770445787000},"page":"651-661","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CodeASG: An Approach for\u00a0Extracting Code Embeddings from\u00a0Abstract Syntax Graphs"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6639-1290","authenticated-orcid":false,"given":"Alexandru-Gabriel","family":"S\u00eerbu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7852-681X","authenticated-orcid":false,"given":"Gabriela","family":"Czibula","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,8]]},"reference":[{"key":"42_CR1","doi-asserted-by":"crossref","unstructured":"Chaudhry, M., et\u00a0al.: A systematic literature review on identifying patterns using unsupervised clustering algorithms: a DM perspective. Symmetry 15(9) (2023)","DOI":"10.3390\/sym15091679"},{"key":"42_CR2","doi-asserted-by":"crossref","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, pp. 4171\u20134186 (2019)","DOI":"10.18653\/v1\/N19-1423"},{"key":"42_CR3","doi-asserted-by":"crossref","unstructured":"Feng, Z., Guo, D., et\u00a0al.: CodeBERT: a pre-trained model for programming and natural languages. In: EMNLP, pp. 1536\u20131547. ACM (2020)","DOI":"10.18653\/v1\/2020.findings-emnlp.139"},{"key":"42_CR4","unstructured":"Liao, R., Li, Y., et\u00a0al.: Efficient graph generation with graph recurrent attention networks. In: NeurIPS, pp. 4257\u20134267 (2019)"},{"issue":"140","key":"42_CR5","first-page":"1","volume":"21","author":"C Raffel","year":"2020","unstructured":"Raffel, C., Shazeer, N., et al.: Exploring the limits of transfer learning with a unified text-to-text transformer. JMLR 21(140), 1\u201367 (2020)","journal-title":"JMLR"},{"issue":"3","key":"42_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3068335","volume":"42","author":"E Schubert","year":"2017","unstructured":"Schubert, E., Sander, J., et al.: DBSCAN revisited, revisited: why and how you should (still) use DBSCAN. TODS 42(3), 1\u201321 (2017)","journal-title":"TODS"},{"key":"42_CR7","unstructured":"Scott, T.R., Liu, T., et\u00a0al.: An empirical study on clustering pretrained embeddings: is deep strictly better? NeurIPS Workshop poster (2022)"},{"key":"42_CR8","unstructured":"Siegel, S., Castellan, N.: Nonparametric Statistics for the Behavioral Sciences, 2nd edn. McGraw\u2013Hill, Inc. (1988)"},{"key":"42_CR9","volume":"264","author":"AG S\u00eerbu","year":"2025","unstructured":"S\u00eerbu, A.G., Czibula, G.: Automatic code generation based on Abstract Syntax-based encoding. ESWA 264, 125821 (2025)","journal-title":"ESWA"},{"key":"42_CR10","unstructured":"S\u00eerbu, A.G.: CodeASG GitHub repository (2024). https:\/\/github.com\/sirbualexandrugabriel\/code_asg. Accessed 11 Sept 2025"},{"key":"42_CR11","doi-asserted-by":"crossref","unstructured":"Wang, Y., et\u00a0al.: CodeT5: identifier-aware unified pre-trained encoder-decoder models for code understanding and generation. In: EMNLP, pp. 8696\u20138708 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.685"},{"key":"42_CR12","unstructured":"Social Science Statistics (2024). http:\/\/www.socscistatistics.com\/tests\/. Accessed 15 May 2025"},{"key":"42_CR13","doi-asserted-by":"crossref","unstructured":"Yeasmin, S., Afrin, N., Huq, M.R.: Transformer-based text clustering for newspaper articles. In: MIET, vol.\u00a0490, pp. 443\u2013457. Springer (2022)","DOI":"10.1007\/978-3-031-34619-4_35"}],"container-title":["Lecture Notes in Computer Science","Cooperative Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-15538-2_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T06:29:49Z","timestamp":1770445789000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-15538-2_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032155375","9783032155382"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-15538-2_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"8 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CoopIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Cooperative Information Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marbella","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"20 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"coopis2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/coopis.scitevents.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}