{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:42:27Z","timestamp":1743140547652,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031262807"},{"type":"electronic","value":"9783031262814"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-26281-4_3","type":"book-chapter","created":{"date-parts":[[2023,2,11]],"date-time":"2023-02-11T06:47:02Z","timestamp":1676098022000},"page":"22-32","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Source Code Maintenance Time Classifications from Code Smell"],"prefix":"10.1007","author":[{"given":"Patcharaprapa","family":"Khamkhiaw","sequence":"first","affiliation":[]},{"given":"Chartchai","family":"Doungsa-ard","sequence":"additional","affiliation":[]},{"given":"Passakorn","family":"Phannachitta","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,12]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Dai, Z., Yao, L., Qin, J.: Research on equipment maintenance time management based on risk evaluation, pp. 1576\u20131580 (2018)","DOI":"10.1109\/ITOEC.2018.8740502"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Luo, X., Yang, Y., Ge, Z., Guan, F.: Maintenance time estimation method in the design phase based on fuzzy v-support vector machine, pp. 649\u2013653 (2013)","DOI":"10.1109\/QR2MSE.2013.6625662"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Bagheri, S., Shameli-Sendi, A.: Software project estimation using improved use case point, pp. 143\u2013150 (2018)","DOI":"10.1109\/SERA.2018.8477225"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Sawarkar, R., Nagwani, N.K., Kumar, S.: Predicting bug estimation time for newly reported bug using machine learning algorithms, pp. 1\u20134 (2019)","DOI":"10.1109\/I2CT45611.2019.9033749"},{"key":"3_CR5","doi-asserted-by":"crossref","unstructured":"Gupta, R., Singh, S.K.: Using software metrics to detect temporary field code smell, pp. 45\u201349 (2020)","DOI":"10.1109\/Confluence47617.2020.9058138"},{"key":"3_CR6","doi-asserted-by":"crossref","unstructured":"Sae-Lim, N., Hayashi, S., Saeki, M.: How do developers select and prioritize code smells? a preliminary study, pp. 484\u2013488 (2017)","DOI":"10.1109\/ICSME.2017.66"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Arif, A., Rana, Z.A.: Refactoring of code to remove technical debt and reduce maintenance effort, pp. 1\u20137 (2020)","DOI":"10.1109\/ICOSST51357.2020.9332917"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Fontana, F.A., Ferme, V., Spinelli, S.: Investigating the impact of code smells debt on quality code evaluation, pp. 15\u201322 (2012)","DOI":"10.1109\/MTD.2012.6225993"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Jesudoss, A., Maneesha, S., Naga Durga, T.: Identification of code smell using machine learning, pp. 54\u201358 (2019)","DOI":"10.1109\/ICCS45141.2019.9065317"},{"key":"3_CR10","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1109\/TSE.2017.2653105","volume":"43","author":"M Tufano","year":"2017","unstructured":"Tufano, M., et al.: When and why your code starts to smell bad (and whether the smells go away). IEEE Trans. Software Eng. 43, 1063\u20131088 (2017)","journal-title":"IEEE Trans. Software Eng."},{"key":"3_CR11","unstructured":"Elmidaoui, S., Cheikhi, L., Idri, A., Abran, A.: Predicting software maintainability using ensemble techniques and stacked generalization (2020)"},{"key":"3_CR12","doi-asserted-by":"publisher","unstructured":"Singh, S., Kaur, S.: A systematic literature review: Refactoring for disclosing code smells in object oriented software. Ain Shams Eng. J. 9, 2129\u20132151 (2018). https:\/\/doi.org\/10.1016\/j.asej.2017.03.002","DOI":"10.1016\/j.asej.2017.03.002"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Palomba, F., Zaidman, A., Lucia, A.D.: On the accuracy of sonarqube technical debt remediation time, pp. 317\u2013324 (2019)","DOI":"10.1109\/SEAA.2019.00055"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Kala, M., Lali\u00b4 s, A., Vittek, P.: Optimizing calculation of maintenance revision\u02c7 times in maintenance repair organizations, pp. 1\u20136 (2019)","DOI":"10.1109\/MILTECHS.2019.8870132"},{"key":"3_CR15","doi-asserted-by":"crossref","unstructured":"Nagwani, N.K., Verma, S.: Predictive data mining model for software bug estimation using average weighted similarity, pp. 373\u2013378 (2010)","DOI":"10.1109\/IADCC.2010.5422923"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Internet, Data & Web Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-26281-4_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:30Z","timestamp":1728864030000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-26281-4_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031262807","9783031262814"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-26281-4_3","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"12 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EIDWT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Emerging Internetworking, Data & Web Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Semarang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 February 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 February 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eidwt2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/eidwt\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}