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Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level.

, и . ISEC, стр. 172-180. ACM, (2017)

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Kernel Based Sequential Data Anomaly Detection in Business Process Event Logs.. CoRR, (2015)Computing the outcome of proxy bidding in combinatorial auctions extended abstract., , и . EC, стр. 242-243. ACM, (2003)Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness., , и . ISEC, стр. 4-14. ACM, (2017)Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level., и . ISEC, стр. 172-180. ACM, (2017)Using tabu best-response search to find pure strategy nash equilibria in normal form games., и . AAMAS, стр. 1023-1029. ACM, (2005)Setting the Foundation for Scientific Inquiry and Computational Thinking in Early Childhood using Lego Machines and Mechanism Education Kit, и . (21.12.2017)Investigating the Role of Twitter in E-Governance by Extracting Information on Citizen Complaints and Grievances Reports., и . BDA, том 10721 из Lecture Notes in Computer Science, стр. 300-310. Springer, (2017)How healthy are ACM SIGWEB sponsored conferences?, , и . SIGWEB Newsl., 2017 (Spring): 4:1-4:17 (2017)Semantic Based Text Classification of Patent Documents to a User-Defined Taxonomy., , , , и . ADMA, том 5678 из Lecture Notes in Computer Science, стр. 644-651. Springer, (2009)Integrating Issue Tracking Systems with Community-Based Question and Answering Websites., и . Australian Software Engineering Conference, стр. 88-96. IEEE Computer Society, (2013)