{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T00:35:21Z","timestamp":1780101321546,"version":"3.54.0"},"reference-count":38,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2018,8,1]]},"DOI":"10.1587\/transinf.2017edp7406","type":"journal-article","created":{"date-parts":[[2018,7,31]],"date-time":"2018-07-31T23:13:58Z","timestamp":1533078838000},"page":"2015-2026","source":"Crossref","is-referenced-by-count":13,"title":["An Emotion Similarity Based Severity Prediction of Software Bugs: A Case Study of Open Source Projects"],"prefix":"10.1587","volume":"E101.D","author":[{"given":"Geunseok","family":"YANG","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Seoul"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"ZHANG","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Harbin Engineering University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byungjeong","family":"LEE","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Seoul"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] C. Jones, \u201cThe Economics of Software Maintenance in the Twenty First Century,\u201d In Proc. of Performance Engineering to Enhance the Maintenance, 2006."},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] T. Zhang, J. Chen, G. Yang, B. Lee, and X. Luo, \u201cTowards More Accurate Severity Prediction and Fixer Recommendation of Software Bugs,\u201d In Journal of Systems and Software, vol.117, pp.166-184, 2016. 10.1016\/j.jss.2016.02.034","DOI":"10.1016\/j.jss.2016.02.034"},{"key":"3","unstructured":"[3] B.P. Lientz and E.B. Swanson, Software Maintenance Management: A Study of the Maintenance of Computer Application Software in 487 Data Processing Organizations, Addison-Wesley, 1980."},{"key":"4","unstructured":"[4] R.C. Seacord, D. Plakosh, and G.A. Lewis, Modernizing Legacy Systems: Software Technologies, Engineering Processes, and Business Practices, Addison-Wesley Professional, 2003."},{"key":"5","unstructured":"[5] Eclipse, https:\/\/eclipse.org\/"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] T. Zimmermann, R. Premraj, J. Sillito, and S. Breu, \u201cImproving Bug Tracking Systems,\u201d In Proc. of International Conference on Software Engineering (Companion Volume), pp.247-250, 2009. 10.1109\/icse-companion.2009.5070993","DOI":"10.1109\/ICSE-COMPANION.2009.5070993"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] G. Yang, S. Baek, J.-W. Lee, and B. Lee, \u201cAnalyzing Emotion Words to Predict Severity of Software Bugs: A Case Study of Open Source Projects,\u201d In Proc. of the Symposium on Applied Computing, pp.1280-1287, 2017. 10.1145\/3019612.3019788","DOI":"10.1145\/3019612.3019788"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] T. Zimmermann, R. Premraj, N. Bettenburg, S. Just, A. Schroter, and C. Weiss, \u201cWhat Makes a Good Bug Report?,\u201d IEEE Trans. Softw. Eng., vol.36, no.5, pp.618-643, 2010. 10.1109\/tse.2010.63","DOI":"10.1109\/TSE.2010.63"},{"key":"9","unstructured":"[9] S. Baccianella, A. Esuli, and F. Sebastiani, \u201cSentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining,\u201d LREC, vol.10, no.2010, pp.2200-2204, 2010."},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] T. Zhang, G. Yang, B. Lee, and A.T.S. Chan, \u201cPredicting Severity of Bug Report by Mining Bug Repository with Concept Profile,\u201d In Proc. of the Symposium on Applied Computing, pp.1553-1558, 2015. 10.1145\/2695664.2695872","DOI":"10.1145\/2695664.2695872"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] A. Lamkanfi, S. Demeyer, E. Giger, and B. Goethals, \u201cPredicting the Severity of a Reported Bug,\u201d In Proc. of IEEE Working Conference on Mining Software Repositories, pp.1-10, 2010. 10.1109\/msr.2010.5463284","DOI":"10.1109\/MSR.2010.5463284"},{"key":"12","unstructured":"[12] Eclipse, https:\/\/bugs.eclipse.org\/bugs\/"},{"key":"13","unstructured":"[13] GNU, https:\/\/debbugs.gnu.org\/"},{"key":"14","unstructured":"[14] JBoss, https:\/\/issues.jboss.org\/"},{"key":"15","unstructured":"[15] Mozilla, https:\/\/bugzilla.mozilla.org\/"},{"key":"16","unstructured":"[16] WireShark, https:\/\/bugs.wireshark.org\/bugzilla\/"},{"key":"17","unstructured":"[17] Bugzilla, https:\/\/en.wikipedia.org\/wiki\/Bugzilla"},{"key":"18","unstructured":"[18] https:\/\/wiki.eclipse.org\/Bug_Reporting_FAQ"},{"key":"19","unstructured":"[19] R.W. Picard, \u201cToward Machines with Emotional Intelligence,\u201d ICINCO (Invited Speakers), pp.29-30, 2004."},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] R.W. Picard, E. Vyzas, and J. Healey, \u201cToward Machine Emotional Intelligence: Analysis of Affective Physiological State,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.23, no.10, pp.1175-1191, 2001. 10.1109\/34.954607","DOI":"10.1109\/34.954607"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] A. Murgia, P. Tourani, B. Adams, and M. Ortu, \u201cDo Developers Feel Emotions? An Exploratory Analysis of Emotions in Software Artifacts,\u201d In Proc. of the Working Conference on Mining Software Repositories, pp.262-271, 2014. 10.1145\/2597073.2597086","DOI":"10.1145\/2597073.2597086"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] M. Ortu, A. Murgia, G. Destefanis, P. Tourani, R. Tonelli, M. Marchesi, and B. Adams, \u201cThe Emotional Side of Software Developers in JIRA,\u201d In Proc. of the Working Conference on Mining Software Repositories, pp.480-483, 2016. 10.1145\/2901739.2903505","DOI":"10.1145\/2901739.2903505"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] M.R. Islam and M.F. Zibran, \u201cTowards Understanding and Exploiting Developers' Emotional Variations in Software Engineering,\u201d In Proc. International Conference on Software Engineering Research, Management and Applications (SERA), pp.185-192, 2016. 10.1109\/sera.2016.7516145","DOI":"10.1109\/SERA.2016.7516145"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] A. Lamkanfi, S. Demeyer, Q.D. Soetens, and T. Verdonck, \u201cComparing Mining Algorithms for Predicting the Severity of a Reported Bug,\u201d In Proc. of Software Maintenance and Reengineering, pp.249-258, 2011. 10.1109\/csmr.2011.31","DOI":"10.1109\/CSMR.2011.31"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] C.D. Manning, M. Surdeanu, J. Bauer, J. Finkel, S.J. Bethard, and D. McClosky, \u201cThe Stanford CoreNLP Natural Language Processing Toolkit,\u201d In Proc. of Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp.55-60, 2014. 10.3115\/v1\/p14-5010","DOI":"10.3115\/v1\/P14-5010"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] S. Rao and A. Kak, \u201cRetrieval from Software Libraries for Bug Localization: A Comparative Study of Generic and Composite Text Models,\u201d In Proc. of the Working Conference on Mining Software Repositories, pp.43-52, 2011. 10.1145\/1985441.1985451","DOI":"10.1145\/1985441.1985451"},{"key":"27","unstructured":"[27] StringtoWordVector, http:\/\/weka.sourceforge.net\/doc.dev\/weka\/filters\/unsupervised\/attribute\/StringToWordVector.html"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] C. Goutte and E. Gaussier, \u201cA Probabilistic Interpretation of Precision, Recall and F-score, with Implication for Evaluation,\u201d In Proc. of European Conference on Information Retrieval, vol.3408, pp.345-359, 2005. 10.1007\/978-3-540-31865-1_25","DOI":"10.1007\/978-3-540-31865-1_25"},{"key":"29","unstructured":"[29] R. Kohavi, \u201cA Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection,\u201d Proc. of the International Joint Conference on Artificial Intelligence, vol.14, no.2, pp.1137-1145, 1995."},{"key":"30","unstructured":"[30] The T-Test, \u201cResearch Methods Knowledge Base,\u201d http:\/\/www.socialresearchmethods.net\/kb\/contents.php\uff0e"},{"key":"31","doi-asserted-by":"crossref","unstructured":"[31] F. Wilcoxon, \u201cIndividual Comparisons by Ranking Methods,\u201d In Biometrics Bulletin, vol.1, no.6, pp.80-83, 1945. 10.2307\/3001968","DOI":"10.2307\/3001968"},{"key":"32","doi-asserted-by":"publisher","unstructured":"[32] S.S. Shapiro and M.B. Wilk, \u201cAn Analysis of Variance Test for Normality (Complete Samples),\u201d In Biometrika, vol.52, no.3\/4, pp.591-611, 1965. 10.1093\/biomet\/52.3-4.591","DOI":"10.1093\/biomet\/52.3-4.591"},{"key":"33","unstructured":"[33] R.C. Team, \u201cR: A Language and Environment for Statistical Computing,\u201d R Foundation for Statistical Computing, 2013."},{"key":"34","doi-asserted-by":"crossref","unstructured":"[34] G. Yang, T. Zhang, and B. Lee, \u201cTowards Semi-Automatic Bug Triage and Severity Prediction Based on Topic Model and Multi-feature of Bug Reports,\u201d In Proc. of Computer Software and Applications Conference, pp.97-106, 2014. 10.1109\/compsac.2014.16","DOI":"10.1109\/COMPSAC.2014.16"},{"key":"35","doi-asserted-by":"crossref","unstructured":"[35] Y. Tian, D. Lo, and C. Sun, \u201cInformation Retrieval based Nearest Neighbor Classification for Fine-grained Bug Severity Prediction,\u201d In Proc. of Working Conference on Reverse Engineering, pp.215-224, 2012. 10.1109\/wcre.2012.31","DOI":"10.1109\/WCRE.2012.31"},{"key":"36","doi-asserted-by":"crossref","unstructured":"[36] C.-Z. Yang, C.-C. Hou, W.-C. Kao, and I.-X. Chen, \u201cAn Empirical Study on Improving Severity Prediction of Defect Reports using Feature Selection,\u201d In Proc. of Asia-Pacific Software Engineering Conference, pp.240-249, 2012. 10.1109\/apsec.2012.144","DOI":"10.1109\/APSEC.2012.144"},{"key":"37","doi-asserted-by":"crossref","unstructured":"[37] T. Menzies and A. Marcus, \u201cAutomated Severity Assessment of Software Defect Reports,\u201d In Proc. of IEEE International Conference on Software Maintenance, pp.346-355, 2008. 10.1109\/icsm.2008.4658083","DOI":"10.1109\/ICSM.2008.4658083"},{"key":"38","doi-asserted-by":"publisher","unstructured":"[38] Y. LeCun, Y. Bengio, and G. Hinton, \u201cDeep Learning,\u201d In Nature, vol.521, no.7553, pp.436-444, 2015. 10.1038\/nature14539","DOI":"10.1038\/nature14539"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/8\/E101.D_2017EDP7406\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T16:21:08Z","timestamp":1571674868000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/8\/E101.D_2017EDP7406\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,1]]},"references-count":38,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2018]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2017edp7406","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,1]]}}}