{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T05:40:05Z","timestamp":1756791605157,"version":"3.44.0"},"reference-count":59,"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-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3601820","type":"journal-article","created":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:01:55Z","timestamp":1755910915000},"page":"150068-150090","source":"Crossref","is-referenced-by-count":0,"title":["Learning Software Overtime Estimation From Experts\u2018 Annotations: A Greedy Cross-Validation-Based Machine Learning Approach"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2389-7039","authenticated-orcid":false,"given":"Hammed A.","family":"Mojeed","sequence":"first","affiliation":[{"name":"Department of Computer System Architecture, Faculty of Electronics, Telecommunication and Informatics, Gdańsk University of Technology, Gdańsk, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5985-4006","authenticated-orcid":false,"given":"Rafal","family":"Szlapczynski","sequence":"additional","affiliation":[{"name":"Department of Applied Computer Science, Faculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, Gdańsk, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1007\/978-3-642-55035-5_15","article-title":"Search-based software project management","volume-title":"Software Project Management in a Changing World","author":"Ferrucci","year":"2014"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/026783701110.1080\/02678370110066580"},{"issue":"6","key":"ref3","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1097\/JOM.0b013e3181734330","article-title":"Working overtime is associated with anxiety and depression: The hordaland health study","volume":"50","author":"Kleppa","year":"2008","journal-title":"J. Occupational Environ. Med."},{"key":"ref4","first-page":"135","article-title":"Effects of overtime on efficiency in software engineering projects; [yazilim m\u00fchendisligi projelerinde fazla mesainin verimlilik \u00dczerine etkileri]","volume-title":"Proc. CEUR Workshop","volume":"1980","author":"T\u00fcrkdogan"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2013.6606592"},{"key":"ref6","first-page":"214","article-title":"Impact of overtime and stress on software quality","volume-title":"Proc. 12th World Multi-Conf. Systemics, Cybern. Inform., Jointly 14th Int. Conf. Inf. Syst. Anal. Synthesis (ISAS WMSCI)","volume":"4","author":"Akula"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3233\/IDT-120151"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2739480.2754702"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-021-04467-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13650-9_2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2015.2512266"},{"issue":"6","key":"ref12","first-page":"3213","article-title":"Memetic approach for multi-objective overtime planning in software engineering projects","volume":"14","author":"Mojeed","year":"2019","journal-title":"J. Eng. Sci. Technol."},{"key":"ref13","first-page":"1061","article-title":"Learning overtime dynamics through multiobjective optimization","volume-title":"Proc. Genetic Evol. Comput. Conf.","author":"Barros"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2017.2650914"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-42505-9_35"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.62036\/isd.2024.4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40643-0_28"},{"issue":"2","key":"ref18","doi-asserted-by":"crossref","first-page":"15","DOI":"10.3390\/computers11020015","article-title":"A new approach to calibrating functional complexity weight in software development effort estimation","volume":"11","author":"Hai","year":"2022","journal-title":"Computers"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3215987"},{"volume-title":"Software Assessments, Benchmarks, and Best Practices","year":"2000","author":"Jones","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11721-014-0094-2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ergon.2019.102901"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33119-0_7"},{"issue":"7","key":"ref24","first-page":"16","article-title":"Outlier detection: A clustering-based approach","volume":"1","author":"Kumar","year":"2013","journal-title":"Int. J. Sci. Modern Eng."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.sciaf.2023.e02054"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-09070-7_49"},{"issue":"1","key":"ref27","first-page":"563","article-title":"Intelligent tree-based ensemble approaches for phishing website detection","volume":"17","author":"Alsariera","year":"2022","journal-title":"J. Eng. Sci. Technol."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.14710\/jtsiskom.2020.13669"},{"issue":"2","key":"ref29","first-page":"1030","article-title":"Ensemble models for predicting warts treatment methods","volume":"16","author":"Bajeh","year":"2021","journal-title":"J. Eng. Sci. Technol."},{"volume-title":"Random Forest Regression","year":"2020","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11334-017-0288-z"},{"issue":"1","key":"ref32","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1049\/iet-sen.2014.0122","article-title":"Early stage software effort estimation using random forest technique based on use case points","volume":"10","author":"Satapathy","year":"2016","journal-title":"IET Softw."},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10101195"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3553199"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2024.1491602"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-016-1228-x"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1301"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2022.0130585"},{"key":"ref39","article-title":"Random search hyper-parameter tuning: Expected improvement estimation and the corresponding lower bound","author":"Navon","year":"2022","journal-title":"arXiv:2208.08170"},{"key":"ref40","first-page":"1","article-title":"BootBOGS: Hands-on optimizing grid search in hyperparameter tuning of MLP","volume-title":"Proc. 20th ACS\/IEEE Int. Conf. Comput. Syst. Appl., ACS\/IEEE Int. Conf. Comput. Syst. Appl.","author":"Youness"},{"issue":"4","key":"ref41","first-page":"1","article-title":"An empirical study of Bayesian optimization: Acquisition versus partition","volume":"22","author":"Merrill","year":"2021","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"ref42","first-page":"6765","article-title":"Hyperband: A novel bandit-based approach to hyperparameter optimization","volume":"18","author":"Li","year":"2018","journal-title":"J. Mach. Learn. Res."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3522783.3529524"},{"key":"ref44","first-page":"1238","article-title":"Almost optimal exploration in multi-armed bandits","volume-title":"Proc. 30th Int. Conf. Mach. Learn.","volume":"28","author":"Karnin"},{"key":"ref45","first-page":"240","article-title":"Non-stochastic best arm identification and hyperparameter optimization","volume-title":"Proc. 19th Int. Conf. Artif. Intell. Statist.","author":"Jamieson"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/a16010017"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10161973"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11334-020-00379-y"},{"key":"ref49","article-title":"Concise logarithmic loss function for robust training of anomaly detection model","author":"Park","year":"2022","journal-title":"arXiv:2201.05748"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2003.1245300"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2522920.2522928"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-20294-5_20"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32615-8_33"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2022.2027282"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1525\/collabra.343"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-7138-7"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6849-3"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2023.03.107"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s10822-020-00314-0"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11134365.pdf?arnumber=11134365","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T05:02:05Z","timestamp":1756789325000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11134365\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3601820","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}