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Multistage Growth Model for Code Change Events in Open Source Software Development: An Example Using Development of Nagios.

, , , and . EUROMICRO-SEAA, page 207-212. IEEE Computer Society, (2014)

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Empirical analysis of comments and fault-proneness in methods: can comments point to faulty methods?, , , and . ESEM, page 63:1. ACM, (2014)Parallel Vector Computing Technique for Discovering Communities on the Very Large Scale Web Graph., , , , and . DaWaK, volume 2737 of Lecture Notes in Computer Science, page 151-160. Springer, (2003)Attribute Oriented Mining Algorithm with Entropy-based Cost Functions., , and . CODAS, page 265-268. World Scientific, (1996)Empirical Study of Abnormalities in Local Variables of Change-Prone Java Methods., , , and . ISSRE Workshops, page 214-221. 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)An Investigation of Compound Variable Names Toward Automated Detection of Confusing Variable Pairs., , , and . ASE Workshops, page 133-137. IEEE, (2021)Examination of Coding Violations Focusing on Their Change Patterns over Releases., , and . APSEC, page 121-128. IEEE Computer Society, (2016)Investigation of Coding Violations Focusing on Authorships of Source Files., , and . ACIT/CSII/BCD, page 248-253. IEEE, (2017)A Test Case Recommendation Method Based on Morphological Analysis, Clustering and the Mahalanobis-Taguchi Method., , , and . ICST Workshops, page 29-35. IEEE Computer Society, (2017)Have Java Production Methods Co-Evolved With Test Methods Properly?: A Fine-Grained Repository-Based Co-Evolution Analysis., , , , and . SEAA, page 120-124. IEEE, (2022)