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Kernel methods for software effort estimation - Effects of different kernel functions and bandwidths on estimation accuracy., , and . Empir. Softw. Eng., 18 (1): 1-24 (2013)Towards a hypothetical framework of humans related success factors for process improvement in global software development: systematic review., , , and . SAC, page 180-186. ACM, (2017)Case consistency: a necessary data quality property for software engineering data sets., , , and . EASE, page 19:1-19:10. ACM, (2015)Providing Fairer Resource Allocation for Multi-tenant Cloud-Based Systems., , , , and . CloudCom, page 306-313. IEEE Computer Society, (2015)Quantitative Analysis for Non-linear System Performance Data Using Case-Based Reasoning., and . APSEC, page 346-355. IEEE Computer Society, (2010)On the relative value of data resampling approaches for software defect prediction., , and . Empir. Softw. Eng., 24 (2): 602-636 (2019)Exploiting the Essential Assumptions of Analogy-Based Effort Estimation, , , and . (5555)A Strategy to Determine When to Stop Using Automatic Bug Localization., , , , and . COMPSAC, page 185-190. IEEE Computer Society, (2016)Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer., , , , , and . CoRR, (2022)Performance Evaluation of Ensemble Methods For Software Fault Prediction: An Experiment., , , and . ASWEC (2), page 91-95. ACM, (2015)