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Fault-Prone Java Method Analysis Focusing on Pair of Local Variables with Confusing Names., , , , and . SEAA, page 154-158. IEEE Computer Society, (2018)Improving Cross-Project Defect Prediction Methods with Data Simplification., , and . EUROMICRO-SEAA, page 96-103. IEEE Computer Society, (2015)An Empirical Study on Relationships between Comments and Design Properties., , , and . ACIT/CSII/BCD, page 254-259. IEEE, (2017)Fault-Prone Source File Analysis Focusing on the Contribution Entropy in Open Source Development., , , , and . BCD, page 7-14. IEEE Computer Society, (2018)Bounded model checking of Time Petri Nets using SAT solver., , , , , and . IEICE Electronic Express, 12 (2): 20141112 (2015)A Survival Analysis of Source Files Modified by New Developers., , , and . PROFES, volume 10611 of Lecture Notes in Computer Science, page 80-88. Springer, (2017)Towards Better Effort Estimation with Cross-Project Defect Prediction Approaches., , and . EASE, page 357-360. ACM, (2019)Empirical Study of Fault Introduction Focusing on the Similarity among Local Variable Names., , , and . QuASoQ@APSEC, volume 2511 of CEUR Workshop Proceedings, page 3-11. CEUR-WS.org, (2019)A Health Index of Open Source Projects Focusing on Pareto Distribution of Developer's Contribution., , , , and . IWESEP, page 29-34. IEEE Computer Society, (2017)Local Variables with Compound Names and Comments as Signs of Fault-Prone Java Methods., , , and . QuASoQ/TDA@APSEC, volume 1771 of CEUR Workshop Proceedings, page 4-11. CEUR-WS.org, (2016)