A Review of Machine Learning Techniques for Software Quality Prediction

Author:

Cowlessur Sanjeev K.,Pattnaik Saumendra,Pattanayak Binod Kumar

Publisher

Springer Singapore

Reference27 articles.

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2. Adline, A., Ramachandran, M.: Predicting the software quality using the method of genetic algorithm. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 3(2), 390–398 (2014)

3. Azar, D., Vybibhal, J.: An ant colony optimization algorithm to improve software quality prediction models: case of class stability. Inf. Softw. Technol. 53(4), 388–393 (2011)

4. Pattnaik, S., Pattanayak, B.K.: A survey on machine learning techniques used for software quality prediction. Int. J. Reasoning-Based Intell. Syst. 12(1/2), 3–14 (2016)

5. Kapur, P.K., Khatri, S.K., Goswami, D.N.: A generalized dynamic integration software reliability growth model based on neural network approach. In: Proceedings of International Conference on Reliability, Safety and Quality Engineering, pp. 831–838 (2008)

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