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2019 | OriginalPaper | Chapter

Applying Weighted Particle Swarm Optimization to Imbalanced Data in Software Defect Prediction

Authors : Lucija Brezočnik, Vili Podgorelec

Published in: New Technologies, Development and Application

Publisher: Springer International Publishing

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Abstract

Imbalanced data typically refers to class distribution skews and underrepresented data, which affect the performance of learning algorithms. Such data are well-known in real-life situations, such as behavior analysis, cancer malignancy grading, industrial systems’ monitoring and software defect prediction. In this paper, we present a W-PSO method, which comprises weighting of instances in a dataset and the Particle Swarm Optimization algorithm. The presented method was combined with classification methods C4.5 and Naive Bayes, respectively, and tested experimentally on ten freely accessible software defect prediction datasets. Based on the results achieved, the presented W-PSO method creates better classification models than classification methods C4.5 and Naive Bayes in the majority of the cases.

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Literature
1.
Brezočnik, L.: Feature selection for classification using particle swarm optimization. In: IEEE EUROCON 2017 – 17th International Conference on Smart Technologies, pp. 966–971. IEEE, Ohrid, Macedonia (2017)
2.
Brezočnik, L., Karakatič, S., Podgorelec, V.: Weighted particle swarm optimization for imbalanced data. In: Twenty-sixth International Electrotechnical and Computer Science Conference ERK 2017, pp. 387–390. IEEE Slovenia Section, Portorož, Slovenia (2017)
3.
Fenton, N.E., Ohlsson, N.: Quantitative analysis of faults and failures in a complex software system. IEEE Trans. Softw. Eng. 26(8), 797–814 (2000)CrossRef
4.
5.
Karakatič, S., Heričko, M., Podgorelec, V.: Weighting and sampling data for individual classifiers and bagging with genetic algorithms. In: 7th International Joint Conference on Computational Intelligence IJCCI, pp. 180–187. IEEE, Lisbon, Portugal (2015)
6.
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948. IEEE, Perth, Australia (1995)
7.
Khoshgoftaar, T.M., Allen, E.B., Deng, J.: Using regression trees to classify fault-prone software modules. IEEE Trans. Reliab. 51(4), 455–462 (2002)CrossRef
8.
Menzies, T., Di Stefano, J.S., Chapman, M., McGrill, K.: Metrics that matter. In: 27th Annual NASA Goddard/IEEE Software Engineering Workshop, pp. 51–57. IEEE (2002)
9.
Menzies, T., Greenwald, J., Frank, A.: Data mining static code attributes to learn defect predictors. IEEE Trans. Softw. Eng. 33(1), 2–13 (2007)CrossRef
10.
Pighin, M., Podgorelec, V., Kokol, P.: Fault-threshold prediction with linear programming methodologies. Empirical Softw. Eng. 8(2), 117–138 (2003)CrossRef
11.
Podgorelec, V.: Improved mining of software complexity data on evolutionary filtered training sets. WSEAS Trans. Inf. Sci. Appl. 6(11), 1751–1760 (2009)
12.
Podgorelec, V., Karakatič, S.: Predicting software defect-proneness from software repository data – a case of eclipse bug data. In: 18th International Multiconference Information Society – IS 2015, Collaboration, Software and Services in Information Society, pp. 5–8. InstitutJožef Stefan, Ljubljana, Slovenia (2015)
13.
Podgorelec, V., Kokol, P.: Evolutionary induced decision trees for dangerous software modules prediction. Inf. Process. Lett. 82(1), 31–38 (2002)MathSciNetCrossRef
14.
Porter, A.A., Selby, R.W.: Empirically guided software development using metric-based classification trees. IEEE Softw. 7(2), 46–54 (1990)CrossRef
15.
Song, Q., Jia, Z., Shepperd, M., Ying, S., Liu, J.: A general software defect-proneness prediction framework. IEEE Trans. Softw. Eng. 37(3), 356–370 (2011)CrossRef
16.
Wahono, R.S.: A systematic literature review of software defect prediction: Research trends, datasets, methods and frameworks. J. Softw. Eng. 1(1), 1–16 (2015)
Metadata
Title
Applying Weighted Particle Swarm Optimization to Imbalanced Data in Software Defect Prediction
Authors
Lucija Brezočnik
Vili Podgorelec
Copyright Year
2019
Book
New Technologies, Development and Application

Print ISBN: 978-3-319-90892-2

Electronic ISBN: 978-3-319-90893-9

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-90893-9_35