{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:48:39Z","timestamp":1743036519696,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031001253"},{"type":"electronic","value":"9783031001260"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-00126-0_26","type":"book-chapter","created":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T18:07:55Z","timestamp":1650996475000},"page":"332-340","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["GELibRec: Third-Party Libraries Recommendation Using Graph Neural Network"],"prefix":"10.1007","author":[{"given":"Chengming","family":"Zou","sequence":"first","affiliation":[]},{"given":"Zhenfeng","family":"Fan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,8]]},"reference":[{"key":"26_CR1","unstructured":"Babu, M.S.P., Kumar, B.R.S.: An implementation of the user-based collaborative filtering algorithm. IJCSIT Int. J. Comput. Sci. Inf. Technol. 2(3), 1283\u20131286 (2011)"},{"key":"26_CR2","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"26_CR3","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"issue":"1","key":"26_CR4","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1109\/TSE.2020.2982154","volume":"48","author":"Q He","year":"2020","unstructured":"He, Q., Li, B., Chen, F., Grundy, J., Xia, X., Yang, Y.: Diversified third-party library prediction for mobile app development. IEEE Trans. Softw. Eng. 48(1), 150\u2013165 (2020)","journal-title":"IEEE Trans. Softw. Eng."},{"key":"26_CR5","unstructured":"Katz, J.: Libraries. IO open source repository and dependency metadata (2018)"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Li, M., et al.: LIBD: scalable and precise third-party library detection in android markets. In: 2017 IEEE\/ACM 39th International Conference on Software Engineering (ICSE), pp. 335\u2013346. IEEE (2017)","DOI":"10.1109\/ICSE.2017.38"},{"key":"26_CR7","doi-asserted-by":"publisher","first-page":"110460","DOI":"10.1016\/j.jss.2019.110460","volume":"161","author":"PT Nguyen","year":"2020","unstructured":"Nguyen, P.T., Di Rocco, J., Di Ruscio, D., Di Penta, M.: CrossRec: supporting software developers by recommending third-party libraries. J. Syst. Softw. 161, 110460 (2020)","journal-title":"J. Syst. Softw."},{"key":"26_CR8","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.infsof.2016.11.007","volume":"83","author":"A Ouni","year":"2017","unstructured":"Ouni, A., Kula, R.G., Kessentini, M., Ishio, T., German, D.M., Inoue, K.: Search-based software library recommendation using multi-objective optimization. Inf. Softw. Technol. 83, 55\u201375 (2017)","journal-title":"Inf. Softw. Technol."},{"key":"26_CR9","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: BPR: Bayesian Personalized Ranking from Implicit Feedback. AUAI Press (2012)"},{"key":"26_CR10","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.jss.2018.08.032","volume":"145","author":"MA Saied","year":"2018","unstructured":"Saied, M.A., Ouni, A., Sahraoui, H., Kula, R.G., Inoue, K., Lo, D.: Improving reusability of software libraries through usage pattern mining. J. Syst. Softw. 145, 164\u2013179 (2018)","journal-title":"J. Syst. Softw."},{"key":"26_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/978-3-540-72079-9_9","volume-title":"The Adaptive Web","author":"JB Schafer","year":"2007","unstructured":"Schafer, J.B., Frankowski, D., Herlocker, J., Sen, S.: Collaborative filtering recommender systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web. LNCS, vol. 4321, pp. 291\u2013324. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-72079-9_9"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Sun, Z., Liu, Y., Cheng, Z., Yang, C., Che, P.: Req2Lib: a semantic neural model for software library recommendation. In: 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 542\u2013546. IEEE (2020)","DOI":"10.1109\/SANER48275.2020.9054865"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Thummalapenta, S., Xie, T.: PARSEWeb: a programmer assistant for reusing open source code on the web. In: Proceedings of the Twenty-Second IEEE\/ACM International Conference on Automated Software Engineering, pp. 204\u2013213 (2007)","DOI":"10.1145\/1321631.1321663"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Thung, F., Lo, D., Lawall, J.: Automated library recommendation. In: 2013 20th Working Conference on Reverse Engineering (WCRE), pp. 182\u2013191. IEEE (2013)","DOI":"10.1109\/WCRE.2013.6671293"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Yu, H., Xia, X., Zhao, X., Qiu, W.: Combining collaborative filtering and topic modeling for more accurate android mobile app library recommendation. In: Proceedings of the 9th Asia-Pacific Symposium on Internetware, pp. 1\u20136 (2017)","DOI":"10.1145\/3131704.3131721"},{"key":"26_CR16","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1109\/TKDE.2020.2981333","volume":"34","author":"Z Zhang","year":"2020","unstructured":"Zhang, Z., Cui, P., Zhu, W.: Deep learning on graphs: a survey. IEEE Trans. Knowl. Data Eng. 34, 249\u2013270 (2020)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"26_CR17","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1587\/transinf.2018EDP7227","volume":"102","author":"X Zhao","year":"2019","unstructured":"Zhao, X., Li, S., Yu, H., Wang, Y., Qiu, W.: Accurate library recommendation using combining collaborative filtering and topic model for mobile development. IEICE Trans. Inf. Syst. 102(3), 522\u2013536 (2019)","journal-title":"IEICE Trans. Inf. Syst."}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-00126-0_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T18:13:00Z","timestamp":1650996780000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-00126-0_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031001253","9783031001260"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-00126-0_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"8 April 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dasfaa2022.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"543","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"76","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was originally planned to take place in Hyberabad, India. 24 other papers are included in the volume.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}