Threshold estimation from software metrics by using evolutionary techniques and its proposed algorithms, models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/article/10.1007/s12065-019-00201-0/fulltext.html
Reference32 articles.
1. Nagappan N, Ball T, Zeller A (2006) Mining metrics to predict component failures. In: ICSE’06: proceedings of the 28th international conference on software engineering. ACM, New York, NY, USA, pp. 452–461. https://doi.org/10.1145/1134285.1134349
2. Grabowski RC, Droppo IG, Wharton G (2007) Spatial and temporal variation in the erosion threshold of fine riverbed sediments. J Soils Sediments. https://doi.org/10.1007/s11368-012-0534-9
3. Chidamber SR, Darcy DP, Kemerer CF (1998) Managerial use of metrics for object oriented software: an exploratory analysis. IEEE Trans Software Eng 24:629–639
4. Alves TL, Ypma C, Visser J (2010) Deriving metric thresholds from benchmark data. In: Proceedings of 26th international conference on software maintenance (ICSM), pp 1–10
5. Ferreira K, Bigonha M, Bigonha R, Mendes L, Almeida H (2012) Identifying thresholds for object-oriented software metrics. Int J Syst Softw 85:244–257
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