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CBUA: A Probabilistic, Predictive, and Practical Approach for Evaluating Test Suite Effectiveness., , , , , , , и . IEEE Trans. Software Eng., 48 (3): 1067-1096 (2022)The Influence of Developer Quality on Software Fault-Proneness Prediction., , , , , и . SERE, стр. 11-19. IEEE, (2014)Analysis on the Effect of Phase Noise on the Performance of Satellite Communication and Measurement System., , , , , и . Symmetry, 15 (11): 2053 (ноября 2023)The ability of object-oriented metrics to predict change-proneness: a meta-analysis., , , , и . Empir. Softw. Eng., 17 (3): 200-242 (2012)A comparative study of graph theory-based class cohesion measures., , , и . ACM SIGSOFT Softw. Eng. Notes, 29 (2): 13 (2004)Toward a consistent performance evaluation for defect prediction models., , , , , , , , , и . CoRR, (2023)An empirical analysis of package-modularization metrics: Implications for software fault-proneness., , , , , и . Inf. Softw. Technol., (2015)Automatic Self-Validation for Code Coverage Profilers., , , , , , , и . ASE, стр. 79-90. IEEE, (2019)Predicting Vulnerable Components via Text Mining or Software Metrics? An Effort-Aware Perspective., , , , , и . QRS, стр. 27-36. IEEE, (2015)An empirical investigation into the cost-effectiveness of test effort allocation strategies for finding faults., , , , , и . SANER, стр. 371-381. IEEE Computer Society, (2017)