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Evaluating Lehman's Laws of software evolution within software product lines industrial projects.

, , , и . J. Syst. Softw., (2017)

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Davide Soares da Silva

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Marcelo Gomes Silva

Maria da Conceiça̋o Gomes da Cunha

 

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Evaluating Lehman's Laws of software evolution within software product lines industrial projects., , , и . J. Syst. Softw., (2017)Investigating Variability-aware Smells in SPLs: An Exploratory Study., , , , , , и . SBES, стр. 367-376. ACM, (2019)On the implementation of dynamic software product lines: An exploratory study., , , , , , и . J. Syst. Softw., (2018)On the Implementation of Dynamic Software Product Lines: A Preliminary Study., , , , и . SBCARS, стр. 21-30. IEEE Computer Society, (2016)Machine learning models for forecasting water demand for the Metropolitan Region of Salvador, Bahia., и . Neural Comput. Appl., 35 (27): 19669-19683 (сентября 2023)Evaluating Lehman's Laws of Software Evolution within Software Product Lines: A Preliminary Empirical Study., , и . ICSR, том 8919 из Lecture Notes in Computer Science, стр. 42-57. Springer, (2015)Hybrid model with dynamic architecture for forecasting time series., , , , и . IJCNN, стр. 3742-3747. IEEE, (2006)Feature Selection for Neural Networks Through Binomial Regression., и . ICONIP (2), том 4233 из Lecture Notes in Computer Science, стр. 737-745. Springer, (2006)Forecasting daily Covid-19 cases in the world with a hybrid ARIMA and neural network model., и . Appl. Soft Comput., (2022)Evidence of software inspection on feature specification for software product lines., , , , , и . J. Syst. Softw., 86 (5): 1172-1190 (2013)