{"id":62,"date":"2011-10-02T15:32:33","date_gmt":"2011-10-02T06:32:33","guid":{"rendered":"http:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp\/?page_id=62"},"modified":"2016-10-27T23:22:54","modified_gmt":"2016-10-27T14:22:54","slug":"mining-from-development","status":"publish","type":"page","link":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/research\/mining-from-development\/","title":{"rendered":"Data Mining from software project data in industries"},"content":{"rendered":"<div class=\"entry-content\" itemprop=\"text\">\nWe have applied various data mining techniques to data collected from industries in Japan. The aim of this study is to investigate significant factors to either of the quality of software product, cost for the development, and duration of the development.<\/p>\n<p>So far, we used association rules mining, Bayesian belief network, decision trees, Bayesian classifier, factor analysis, and so on.<\/p>\n<h3>Related paper<\/h3>\n<ul><li>J. Debari, O. Mizuno, T. Kikuno, N. Kikuchi, M. Hirayama, \"<span class=\"l_title\">Mining Project Improvement Hints from Cross-Company Data Using Association Rules<\/span>,\" Trans. of Information Processing Society of Japan, <b>49<\/b>(8), pp. 2791-2801, August 2008.<\/li><li>Y. Hamano, S. Amasaki, O. Mizuno, T. Kikuno, \"<span class=\"l_title\">Application of Association Rules Mining to Analysis of Risk Factors in Software Development Projects<\/span>,\" JSSST Computer Software, <b>24<\/b>(2), pp. 79-87, February 2007.<\/li><li>Y. Nakano, O. Mizuno, T. Kikuno, Y. Anan, M. Tanaka, \"<span class=\"l_title\">Analysis on Impact of Defect Density and Efficiency of Coding Review to Software Quality<\/span>,\" SEC journal, <b>2<\/b>(4), pp. 10-17, November 2006.<\/li><li>N. Kikuchi, T. Andou, O. Mizuno, T. Kikuno, \"<span class=\"l_title\">Key Factors in Process Management for Improving the Field Quality of Telecommunication Software Development<\/span>,\" SEC journal, <b>2<\/b>(1), pp. 26-35, January 2006.<\/li><li>S. Amasaki, Y. Takagi, O. Mizuno, and T. Kikuno, \"<span class=\"l_title\">Constructing a Bayesian Belief Network to Predict Final Quality in Embedded System Development<\/span>,\" IEICE Trans. on Information and Systems, <b>E88-D<\/b>(6), pp. 1134-1141, June 2005. (JCR: 0.242 (2005))<\/li><li>S. Amasaki, T. Yoshitomi, O. Mizuno, Y. Takagi, and T. Kikuno, \"<span class=\"l_title\">A New Challenge for Applying Time Series Metrics Data to Software Quality Estimation<\/span>,\" Software Quality Journal, <b>13<\/b>(2), pp. 177-193, June 2005. (JCR: 0.529 (2005))<\/li><li>J. Debari, O. Mizuno, T. Kikuno, N. Kikuchi, and M. Hirayama, \"<span class=\"l_title\">On Deriving Actions for Improving Cost Overrun by Applying Association Rule Mining to Industrial Project Repository<\/span>,\" In Proc. of International Conference on Software Process 2008 (ICSP2008), <b>LNCS 5006<\/b>, pp. 51-62, May 2008. (Leipzig, Germany) (Acceptance rate: 30%)<\/li><li>S. Amasaki, Y. Hamano, O. Mizuno, and T. Kikuno, \"<span class=\"l_title\">Characterization of Runaway Software Projects Using Association Rule Mining<\/span>,\" In Proc. of 7th International Conference on Product Focused Software Process Improvement (PROFES2006), <b>LNCS 4034<\/b>, pp. 402-407, June 2006. (Amsterdam, The Netherlands) (Acceptance rate: 47.2%, 26\/55)<\/li><li>S. Amasaki, Y. Takagi, O. Mizuno, and T. Kikuno, \"<span class=\"l_title\">A Bayesian Belief Network for Assessing the Likelihood of Fault Content<\/span>,\" In Proc. of 14th International Symposium on Software Reliability Engineering (ISSRE2003),  pp. 215-226, November 2003. (Denver, CO, USA) (Acceptance rate: 20%, 41\/200)<\/li><li>O. Mizuno, E. Shigematsu, Y. Takagi, and T. Kikuno, \"<span class=\"l_title\">On Estimating Testing Effort Needed to Assure Field Quality in Software Development<\/span>,\" In Proc. of 13th International Symposium on Software Reliability Engineering (ISSRE2002),  pp. 139-146, November 2002. (Annapolis, MD, USA.) (Acceptance rate: 45%, 33\/73)<\/li><li>N. Kikuchi, O. Mizuno, and T. Kikuno, \"<span class=\"l_title\">Identifying Key Attributes of Projects That Affect the Field Quality of Communication Software<\/span>,\" In Proc. of 24th Annual International Computer Software and Applications Conference (COMPSAC2000),  pp. 176-178, October 2000. (Taipei, Taiwan.)<\/li><li>O. Mizuno, T. Kikuno, K. Inagaki, Y. Takagi, and K. Sakamoto, \"<span class=\"l_title\">Analyzing Effects of Cost Estimation Accuracy on Quality and Productivity<\/span>,\" In Proc. of 20th International Conference on Software Engineering (ICSE98),  pp. 410-419, April 1998. (Kyoto, Japan.) (Acceptance rate: 19%, 41\/209)<\/li><li>K. Inagaki, Y. Takagi, K. Sakamoto, and O. Mizuno, \"<span class=\"l_title\">Analyzing the Cost Estimation Accuracy in Software Project Respect to Productivity and Quality<\/span>,\" In Proc. of International Symposium on Future Software Technology 97 (ISFST97),  pp. 372-377, October 1997. (Xiamen, China.)<\/li><li>E. Choi and O. Mizuno, \"<span class=\"l_title\">Towards Quality Improvement and Analysis of Combinatorial Testing<\/span>,\" In IPSJ\/SIGSE Winter Workshop 2017 in Hida-Takayama (WWS2017),  pp. 13-14, January 2017.<\/li><li>J. Debari, K. Ogata, T. Kikuno, O. Mizuno, N. Kikuchi, M. Hirayama, \"<span class=\"l_title\">A Reserch of the Cause of the Faults by Applying Association Rules to the Software Development Data<\/span>,\"  \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66(SE), <b>2010-SE-167<\/b>(3), pp. 1-8, March 2010. (\u6771\u4eac\u90fd)<\/li><li>J. Debari, K. Ogata, T. Kikuno, O. Mizuno, N. Kikuchi, M. Hirayama, \"<span class=\"l_title\">Extracting Relationships between Risk Factors of Software Projects with Association Rule Mining<\/span>,\"  \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u5275\u7acb50\u5468\u5e74\u8a18\u5ff5\u5168\u56fd\u5927\u4f1a(\u7b2c72\u56de\u5168\u56fd\u5927\u4f1a),  5B-1, March 2010. (\u6771\u4eac\u5927\u5b66)<\/li><li>J. Debari, T. Kikuno, O. Mizuno, N. Kikuchi, M. Hirayama, \"<span class=\"l_title\">Extracting Risks of Software Projects by Clustering Association Rules<\/span>,\"  \u30a6\u30a3\u30f3\u30bf\u30fc\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72010\u30fb\u30a4\u30f3\u30fb\u5009\u6577 \u8ad6\u6587\u96c6,  pp. 115-116, January 2010. (\u5009\u6577)<\/li><li>T. Iida, O. Mizuno, T. Kikuno, S. Yoshioka, Y. Anan, M. Tanaka, \"<span class=\"l_title\">An Analysis of Causes of Faults After Release by Rule Mining on Software Metrics<\/span>,\"  Technical Report of IEICE, <b>108<\/b>(384, KBSE2008-50), pp. 79-84, January 2009. (\u6771\u4eac)<\/li><li>J. Debari, O. Mizuno, T. Kikuno, N. Kikuchi, M. Hirayama, \"<span class=\"l_title\">Analysis of Fault Density by Association Rule Mining Using Cross-Company Data<\/span>,\"  Technical Report of IEICE, <b>107<\/b>(275, SS2007-36), pp. 35-40, October 2007. (\u5bae\u57ce\u5927\u5b66)<\/li><li>Y. Sasaki, S. Abe, O. Mizuno, T. Kikuno, S. Yoshioka, Y. Anan, M. Tanaka, \"<span class=\"l_title\">Selecting Metrics for Effective Software Quality Management Using Over-Sampling Method<\/span>,\"  Technical Report of IEICE, <b>107<\/b>(4, SS2007-8), pp. 41-46, April 2007. (\u4f1a\u6d25\u5927\u5b66)<\/li><li>Y. Hamano, O. Mizuno, T. Kikuno, N. Kikuchi, M. Hirayama, \"<span class=\"l_title\">Software Productivity Analysis Using Association Rules Mining<\/span>,\"  IPSJ SIGSE Technical Report, <b>2007<\/b>(33, 2007-SE-155), pp. 65-72, March 2007. (\u6771\u4eac)<\/li><li>K. Kanemura, O. Mizuno, T. Kikuno, Y. Takagi, K. Sakamoto, \"<span class=\"l_title\">Studies on the Effects of Review Efficiency on Field Quality of Software Product<\/span>,\"  \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, <b>99<\/b>(682-683, SS99-69), pp. 1-7, March 2000.<\/li><li>K. Inagaki, Y. Takagi, K. Sakamoto, O. Mizuno, T. Kikuno, \"<span class=\"l_title\">Effects of Cost Estimation Accuracy on Quality and Productivity<\/span>,\"  \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, <b>97<\/b>(260-261, SS97-27), pp. 15-22, September 1997.<\/li><\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<div class=\"entry-summary\" itemprop=\"text\">\n<p>We have applied various data mining techniques to data collected from industries in Japan. The aim of this study is to investigate significant factors to either of the quality of software product, cost for the development, and duration of the development. So far, we used association rules mining, Bayesian belief network, decision trees, Bayesian classifier, factor analysis, and so on. Related paper<\/p>\n\n<\/div>\n","protected":false},"author":1,"featured_media":0,"parent":39,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/P6EDR2-10","_links":{"self":[{"href":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp-json\/wp\/v2\/pages\/62"}],"collection":[{"href":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp-json\/wp\/v2\/comments?post=62"}],"version-history":[{"count":10,"href":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp-json\/wp\/v2\/pages\/62\/revisions"}],"predecessor-version":[{"id":623,"href":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp-json\/wp\/v2\/pages\/62\/revisions\/623"}],"up":[{"embeddable":true,"href":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp-json\/wp\/v2\/pages\/39"}],"wp:attachment":[{"href":"https:\/\/se.is.kit.ac.jp\/~o-mizuno\/wp-json\/wp\/v2\/media?parent=62"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}