{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:06:18Z","timestamp":1783526778975,"version":"3.55.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319214092","type":"print"},{"value":"9783319214108","type":"electronic"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":[[2015]]},"DOI":"10.1007\/978-3-319-21410-8_35","type":"book-chapter","created":{"date-parts":[[2015,6,18]],"date-time":"2015-06-18T15:57:14Z","timestamp":1434643034000},"page":"444-457","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Bug Assignee Prediction Using Association Rule Mining"],"prefix":"10.1007","author":[{"given":"Meera","family":"Sharma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Madhu","family":"Kumari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V. B.","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,6,19]]},"reference":[{"key":"35_CR1","doi-asserted-by":"crossref","unstructured":"Menzies, T., Marcus, A.: Automated severity assessment of software defect reports. In: IEEE Int. Conf. Software Maintenance, pp. 346\u2013355 (2008)","DOI":"10.1109\/ICSM.2008.4658083"},{"key":"35_CR2","doi-asserted-by":"crossref","unstructured":"Lamkanfi, A., Demeyer, S., Giger, E., Goethals, B.: Predicting the severity of a reported bug. In: Mining Software Repositories, MSR, pp. 1\u201310 (2010)","DOI":"10.1109\/MSR.2010.5463284"},{"key":"35_CR3","doi-asserted-by":"crossref","unstructured":"Lamkanfi, A., Demeyer, S., Soetens, Q.D., Verdonck, T.: Comparing mining algorithms for predicting the severity of a reported bug. In: CSMR, pp. 249\u2013258 (2011)","DOI":"10.1109\/CSMR.2011.31"},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Chaturvedi, K.K., Singh, V.B.: Determining bug severity using machine learning techniques. In: CSI-IEEE Int. Conf. Software Engineering (CONSEG), pp. 378\u2013387 (2012)","DOI":"10.1109\/CONSEG.2012.6349519"},{"issue":"2","key":"35_CR5","doi-asserted-by":"publisher","first-page":"32","DOI":"10.4018\/jossp.2012040103","volume":"4","author":"KK Chaturvedi","year":"2013","unstructured":"Chaturvedi, K.K., Singh, V.B.: An empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Close Source Projects. Int. J. Open Source Software and Processes 4(2), 32\u201359 (2013)","journal-title":"Int. J. Open Source Software and Processes"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Sharma, M., Bedi, P., Chaturvedi, K.K., Singh, V. B.: Predicting the priority of a reported bug using machine learning techniques and cross project validation. In: IEEE Int. Conf. Intelligent Systems Design and Applications (ISDA), pp. 27\u201329 (2012)","DOI":"10.1109\/ISDA.2012.6416595"},{"key":"35_CR7","unstructured":"Cubranic, D., Murphy G.C.: Automatic bug triage using text categorization. In: Intl. Conf. Software Engineering. Citeseer, pp. 92\u201397 (2004)"},{"key":"35_CR8","doi-asserted-by":"crossref","unstructured":"Sharma, M., Kumari, M., Singh, V.B.: Understanding the meaning of bug attributes and prediction models. In: I-CARE 5th IBM Collaborative Academia Research Exchange Workshop, Article No. 15. ACM (2013)","DOI":"10.1145\/2528228.2528244"},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: SIGMOD Conf. Management of Data. ACM, May 1993","DOI":"10.1145\/170035.170072"},{"issue":"2","key":"35_CR10","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1109\/TSE.2006.1599417","volume":"32","author":"Q Song","year":"2006","unstructured":"Song, Q., Shepperd, M., Cartwright, M., Mair, C.: Software defect association mining and defect correction effort prediction. IEEE Transactions on Software Engineering 32(2), 69\u201382 (2006)","journal-title":"IEEE Transactions on Software Engineering"},{"key":"35_CR11","unstructured":"Ali, K., Manganaris, S., Srikant, R.: Partial classification using association rules. In: Int. Conf. Knowledge Discovery and Data Mining, pp. 115\u2013118 (1997)"},{"key":"35_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/3-540-46846-3_4","volume-title":"Discovery Science","author":"G Dong","year":"1999","unstructured":"Dong, G., Zhang, X., Wong, L., Li, J.: CAEP: classification by aggregating emerging patterns. In: Arikawa, S., Nakata, I. (eds.) DS 1999. LNCS (LNAI), vol. 1721, pp. 30\u201342. Springer, Heidelberg (1999)"},{"key":"35_CR13","unstructured":"Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: Int. Conf. Knowledge Discovery and Data Mining, pp. 80\u201386 (1998)"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"She, R., Chen, F., Wang, K., Ester, M., Gardy, J.L., Brinkman, F.L.: Frequent-subsequence-based prediction of outer membrane proteins. In: ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (2003)","DOI":"10.1145\/956750.956800"},{"key":"35_CR15","unstructured":"Wang, K., Zhou, S.Q., Liew, S.C.: Building hierarchical classifiers using class proximity. In: Int. Conf. Very Large Data Bases, pp. 363\u2013374 (1999)"},{"key":"35_CR16","doi-asserted-by":"crossref","unstructured":"Wang, K., Zhou, S., He, Y.: Growing decision tree on support-less association rules. In: Int. Conf. Knowledge Discovery and Data Mining (2000)","DOI":"10.1145\/347090.347147"},{"key":"35_CR17","doi-asserted-by":"crossref","unstructured":"Yang, Q., Zhang, H.H., Li, T.: Mining web logs for prediction models in WWW caching and prefetching. In: ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (2001)","DOI":"10.1145\/502512.502584"},{"key":"35_CR18","doi-asserted-by":"crossref","unstructured":"Yin, X., Han, J.: CPAR: classification based on predictive association rules. In: SIAM Int. Conf. Data Mining (2003)","DOI":"10.1137\/1.9781611972733.40"},{"key":"35_CR19","doi-asserted-by":"crossref","unstructured":"Ying, A.T.T., Murphy, C.G., Ng, R., Chu-Carroll, M.C.: Predicting source code changes by mining revision history. In: Int. Workshop Mining Software Repositories (2004)","DOI":"10.1109\/TSE.2004.52"},{"key":"35_CR20","doi-asserted-by":"crossref","unstructured":"Zimmermann, T., Weigerber, P., Diehl, S., Zeller, A.: Mining version histories to guide software changes. In: Int. Conf. Software Engineering (2004)","DOI":"10.1109\/TSE.2005.72"},{"key":"35_CR21","doi-asserted-by":"crossref","unstructured":"Mierswa, I., Wurst, M., Klinkenberg, R., Scholz, M., Euler, T.: YALE: rapid prototyping for complex data mining tasks. In: ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (KDD 2006) (2006). http:\/\/www.rapid-i.com","DOI":"10.1145\/1150402.1150531"},{"issue":"3","key":"35_CR22","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1108\/eb046814","volume":"14","author":"M Porter","year":"2008","unstructured":"Porter, M.: An algorithm for suffix stripping. Program. 14(3), 130\u2013137 (2008)","journal-title":"Program."},{"key":"35_CR23","unstructured":"www.mathworks.in\/\u2026\/3016-armada-data-mining-tool-version-1-4"},{"key":"35_CR24","doi-asserted-by":"crossref","unstructured":"Anvik, J., Hiew, L., Murphy, G.C.: Who should fix this bug? In: Int. Conf. Software Engineering (ICSE) (2006)","DOI":"10.1145\/1134285.1134336"},{"key":"35_CR25","unstructured":"Amir, H.M., Neumann, G.: Assisting bug triage in large open source projects using approximate string matching. In: Int. Conf. Software Engineering Advances (ICSEA 2012), Lisbon, Portugal (2012)"},{"key":"35_CR26","unstructured":"Canfora, G., Cerulo, L.: How software repositories can help in resolving a new change request. In: Workshop on Empirical Studies in Reverse Engineering (2005)"},{"key":"35_CR27","doi-asserted-by":"crossref","unstructured":"Servant, F., Jones, J.A.: Whose fault: automatic developer-to-fault assignment through fault localization. In: Int. Conf. Software Engineering (ICSE 2012), pp. 36\u201346. IEEE Press, Piscataway (2012)","DOI":"10.1109\/ICSE.2012.6227208"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications -- ICCSA 2015"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-21410-8_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T08:48:46Z","timestamp":1676018926000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-21410-8_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319214092","9783319214108"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-21410-8_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"19 June 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}