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Applying Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation., , and . PROMISE, page 76-79. ACM, (2019)A Virtual Study of Moving Windows for Software Effort Estimation Using Finnish Datasets., and . PROFES, volume 10611 of Lecture Notes in Computer Science, page 71-79. Springer, (2017)Empirical Analysis of Fault-Proneness in Methods by Focusing on their Comment Lines., , , and . APSEC (2), page 51-56. IEEE, (2014)Consistency Verification of UML Sequence Diagrams Modeling Wireless Sensor Networks., , , , and . IIAI-AAI, page 458-461. IEEE, (2019)On the effectiveness of weighted moving windows: Experiment on linear regression based software effort estimation., and . Journal of Software: Evolution and Process, 27 (7): 488-507 (2015)Interpolation Based Unbounded Model Checking for Time Petri Nets., , , , , and . GCCE, page 619-623. IEEE, (2018)How to treat timing information for software effort estimation?, , and . ICSSP, page 10-19. ACM, (2013)The Effects of Variable Selection Methods on Linear Regression-Based Effort Estimation Models., and . IWSM/Mensura, page 98-103. IEEE Computer Society, (2013)Performance Evaluation of Windowing Approach on Effort Estimation by Analogy., , and . IWSM/Mensura, page 188-195. IEEE Computer Society, (2011)The Effect of Moving Windows on Software Effort Estimation: Comparative Study with CART., and . IWESEP, page 1-6. IEEE Computer Society, (2014)