A parallel framework for software defect detection and metric selection on cloud computing

Author:

Ali Md Mohsin,Huda Shamsul,Abawajy Jemal,Alyahya Sultan,Al-Dossari Hmood,Yearwood John

Funder

Deanship of Scientific Research at King Saud University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference41 articles.

1. NCI: National computational infrastructure. http://nci.org.au/raijin/

2. Abaei, G., Selamat, A., Fujita, H.: An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction. Knowl.-Based Syst. 74, 28–39 (2015)

3. Aparisi, F., Sanz, J.: Interpreting the out-of-control signals of multivariate control charts employing neural networks. Int. J. Comput. Electr. Autom. Control Inf. Eng. 4(1), 24–28 (2010)

4. Arar, O.F., Ayan, K.: Software defect prediction using cost-sensitive neural network. Appl. Soft Comput. 33(C), 263–277 (2015)

5. Asad, A.A., Alsmadi, I.: Evaluating the impact of software metrics on defects prediction, part 2. Comput. Sci. J. Mold. 22(1), 127–144 (2014)

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