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Why interaction between metrics should be considered in the development of software quality models: a preliminary study.

, , and . ACM SIGSOFT Softw. Eng. Notes, 39 (4): 1-4 (2014)

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Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models., , and . Software Engineering Research and Practice, page 664-670. CSREA Press, (2007)Application of Neural Networks in Software Engineering: A Review., , , and . ICISTM, volume 31 of Communications in Computer and Information Science, page 128-137. Springer, (2009)Module weakness: a new measure., and . ACM SIGSOFT Softw. Eng. Notes, 23 (4): 82 (1998)Quality-oriented requirements engineering for a data warehouse., , and . ACM SIGSOFT Softw. Eng. Notes, 36 (5): 1-4 (2011)A modified form of software science measures., and . ACM SIGSOFT Softw. Eng. Notes, 19 (3): 48-50 (1994)A study on software reliability prediction models using soft computing techniques., and . Int. J. Inf. Commun. Technol., 5 (2): 187-204 (2013)Fuzzy inferencing to identify degree of interaction in the development of fault prediction models., , and . J. King Saud Univ. Comput. Inf. Sci., 29 (1): 93-102 (2017)An Optimized Approach of Fault Distribution for Debugging in Parallel., , and . J. Inf. Process. Syst., 6 (4): 537-552 (2010)A Dynamic Approach to Estimate Change Impact using Type of Change Propagation., , and . J. Inf. Process. Syst., 6 (4): 597-608 (2010)Sensitivity analysis of fuzzy and neural network models., , , and . ACM SIGSOFT Softw. Eng. Notes, 30 (4): 1-4 (2005)