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Quantitative Analysis for Non-linear System Performance Data Using Case-Based Reasoning.

, and . APSEC, page 346-355. IEEE Computer Society, (2010)

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Case consistency: a necessary data quality property for software engineering data sets., , , and . EASE, page 19:1-19:10. ACM, (2015)Quantitative Analysis for Non-linear System Performance Data Using Case-Based Reasoning., and . APSEC, page 346-355. IEEE Computer Society, (2010)Providing Fairer Resource Allocation for Multi-tenant Cloud-Based Systems., , , , and . CloudCom, page 306-313. IEEE Computer Society, (2015)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-Based Reasoning for Reducing Software Development Effort., , , , and . JSEA, 3 (11): 1005-1014 (2010)Cloud-based support for global software engineering: potentials, risks, and gaps., and . InnoSWDev@SIGSOFT FSE, page 57-64. ACM, (2014)Detection of Fault-Prone Classes Using Logistic Regression Based Object-Oriented Metrics Thresholds., , , and . QRS Companion, page 93-100. IEEE, (2016)Filter-INC: Handling Effort-Inconsistency in Software Effort Estimation Datasets., , , , and . APSEC, page 185-192. IEEE Computer Society, (2016)Cross project defect prediction using class distribution estimation and oversampling., , , , and . Inf. Softw. Technol., (2018)Assessing the Significant Impact of Concept Drift in Software Defect Prediction., , , and . COMPSAC (1), page 53-58. IEEE, (2019)