{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T22:54:12Z","timestamp":1769727252860,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819660049","type":"print"},{"value":"9789819660056","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-6005-6_23","type":"book-chapter","created":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T03:14:59Z","timestamp":1745378099000},"page":"319-331","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Analysis of\u00a0Class Imbalance Challenges in\u00a0Predictive Mutation Testing"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1998-5826","authenticated-orcid":false,"given":"Sara","family":"Balderas-D\u00edaz","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7509-3673","authenticated-orcid":false,"given":"Gabriel","family":"Guerrero-Contreras","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1568-9288","authenticated-orcid":false,"given":"Pedro","family":"Delgado-P\u00e9rez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7543-2671","authenticated-orcid":false,"given":"Inmaculada","family":"Medina-Bulo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,21]]},"reference":[{"key":"23_CR1","doi-asserted-by":"publisher","unstructured":"Aghamohammadi, A., Mirian-Hosseinabadi, S.H.: An ensemble-based predictive mutation testing approach that considers impact of unreached mutants. Softw. Testing Verification Reliab. 31 (2021). https:\/\/doi.org\/10.1002\/stvr.1784","DOI":"10.1002\/stvr.1784"},{"key":"23_CR2","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"23_CR3","doi-asserted-by":"publisher","unstructured":"Chetna, Kaur, K.: Empirical study of meta-learning-based approach for predictive mutation testing. In: Lecture Notes in Electrical Engineering. LNEE, vol. 1078, pp. 623\u2013635. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-981-99-5974-7_50","DOI":"10.1007\/978-981-99-5974-7_50"},{"key":"23_CR4","doi-asserted-by":"publisher","unstructured":"Delgado-P\u00e9rez, P., S\u00e1nchez, A.B., Segura, S., Medina-Bulo, I.: Performance mutation testing. Softw. Test. Verif. Reliab. 31(5), e1728 (2021). https:\/\/doi.org\/10.1002\/stvr.1728,e1728stvr.1728","DOI":"10.1002\/stvr.1728,e1728stvr.1728"},{"key":"23_CR5","doi-asserted-by":"publisher","unstructured":"Duque-Torres, A., Doliashvili, N., Pfahl, D., Ramler, R.: Predicting survived and killed mutants. In: Proceedings - 2020 IEEE 13th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2020, pp. 274\u2013283. Institute of Electrical and Electronics Engineers Inc. (2020). https:\/\/doi.org\/10.1109\/ICSTW50294.2020.00053","DOI":"10.1109\/ICSTW50294.2020.00053"},{"key":"23_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105151","volume":"115","author":"MA Ganaie","year":"2022","unstructured":"Ganaie, M.A., Hu, M., Malik, A.K., Tanveer, M., Suganthan, P.N.: Ensemble deep learning: a review. Eng. Appl. Artif. Intell. 115, 105151 (2022). https:\/\/doi.org\/10.1016\/j.engappai.2022.105151","journal-title":"Eng. Appl. Artif. Intell."},{"key":"23_CR7","doi-asserted-by":"publisher","unstructured":"Jain, K., Alon, U., Groce, A., Goues, C.L.: Contextual predictive mutation testing. In: ESEC\/FSE 2023 - Proceedings of the 31st ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 250\u2013261. Association for Computing Machinery, Inc (2023). https:\/\/doi.org\/10.1145\/3611643.3616289","DOI":"10.1145\/3611643.3616289"},{"key":"23_CR8","doi-asserted-by":"publisher","unstructured":"Kim, J., Jeon, J., Hong, S., Yoo, S.: Predictive mutation analysis via the natural language channel in source code. ACM Trans. Softw. Eng. Methodol. 31 (2022). https:\/\/doi.org\/10.1145\/3510417","DOI":"10.1145\/3510417"},{"key":"23_CR9","doi-asserted-by":"publisher","unstructured":"Mao, D., Chen, L., Zhang, L.: An extensive study on cross-project predictive mutation testing. In: Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation, ICST 2019, pp. 160\u2013171. Institute of Electrical and Electronics Engineers Inc. (2019). https:\/\/doi.org\/10.1109\/ICST.2019.00025","DOI":"10.1109\/ICST.2019.00025"},{"issue":"11","key":"23_CR10","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000290","volume":"2","author":"M Owusu-Adjei","year":"2023","unstructured":"Owusu-Adjei, M., Ben Hayfron-Acquah, J., Frimpong, T., Abdul-Salaam, G.: Imbalanced class distribution and performance evaluation metrics: a systematic review of prediction accuracy for determining model performance in healthcare systems. PLOS Digit. Health 2(11), e0000290 (2023). https:\/\/doi.org\/10.1371\/journal.pdig.0000290","journal-title":"PLOS Digit. Health"},{"issue":"1","key":"23_CR11","doi-asserted-by":"publisher","first-page":"6086","DOI":"10.1038\/s41598-024-56706-x","volume":"14","author":"O Rainio","year":"2024","unstructured":"Rainio, O., Teuho, J., Kl\u00e9n, R.: Evaluation metrics and statistical tests for machine learning. Sci. Rep. 14(1), 6086 (2024)","journal-title":"Sci. Rep."},{"issue":"1","key":"23_CR12","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1109\/TSMCA.2009.2029559","volume":"40","author":"C Seiffert","year":"2009","unstructured":"Seiffert, C., Khoshgoftaar, T.M., Van Hulse, J., Napolitano, A.: Rusboost: a hybrid approach to alleviating class imbalance. IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum. 40(1), 185\u2013197 (2009). https:\/\/doi.org\/10.1109\/TSMCA.2009.2029559","journal-title":"IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum."},{"issue":"3","key":"23_CR13","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1109\/TR.2018.2847353","volume":"67","author":"X Yang","year":"2018","unstructured":"Yang, X., Wen, W.: Ridge and lasso regression models for cross-version defect prediction. IEEE Trans. Reliab. 67(3), 885\u2013896 (2018). https:\/\/doi.org\/10.1109\/TR.2018.2847353","journal-title":"IEEE Trans. Reliab."},{"key":"23_CR14","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TSE.2018.2809496","volume":"45","author":"J Zhang","year":"2019","unstructured":"Zhang, J., Zhang, L., Harman, M., Hao, D., Jia, Y., Zhang, L.: Predictive mutation testing. IEEE Trans. Softw. Eng. 45, 898\u2013918 (2019). https:\/\/doi.org\/10.1109\/TSE.2018.2809496","journal-title":"IEEE Trans. Softw. Eng."},{"key":"23_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ab.2020.113592","volume":"593","author":"Y Zhu","year":"2020","unstructured":"Zhu, Y., Jia, C., Li, F., Song, J.: Inspector: a lysine succinylation predictor based on edited nearest-neighbor undersampling and adaptive synthetic oversampling. Anal. Biochem. 593, 113592 (2020)","journal-title":"Anal. Biochem."}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-6005-6_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T03:15:00Z","timestamp":1745378100000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-6005-6_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819660049","9789819660056"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-6005-6_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"21 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kitakyushu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","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":"23 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}