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Mining Bug Classifier and Debug Strategy Association Rules for Web-Based Applications

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Advanced Data Mining and Applications (ADMA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5139))

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Abstract

The paper uses data mining approaches to classify bug types and excavate debug strategy association rules for Web-based applications. Chi-square algorithm is used to extract bug features, and SVM to model bug classifier achieving more than 70% predication accuracy on average. Debug strategy association rules accumulate bug fixing knowledge and experiences regarding to typical bug types, and can be applied repeatedly, thus improving the bug fixing efficiency. With 575 training data, three debug strategy association rules are unearthed.

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References

  1. Anvik, J., Hiew, L., Murphy, G.C.: Who should fix this bug? In: Proceeding of the 28th international conference on Software engineering, pp. 361–370 (2006)

    Google Scholar 

  2. Cubranic, D., Murphy, G.C.: Automatic bug triage using text categorization. In: The 16th International Conference on Software Engineering & Knowledge Engineering (SEKE 2004), pp. 92–97 (2004)

    Google Scholar 

  3. Haran, M., Karr, A., Last, M., Orso, A., Porter, A.A., Sanil, A., Fouché, S.: Techniques for classifying executions of deployed software to support software engineering tasks. IEEE Transactions on Software Engineering 33(5), 287–304 (2007)

    Article  Google Scholar 

  4. Zimmermann, T., Weissgerber, P., Diel, S., Zeller, A.: Mining version histories to guide software changes. In: Proc. of ICSE 2004. IEEE Press, Los Alamitos (2004)

    Google Scholar 

  5. Kim, S., Zimmermann, T., James Whitehead Jr., E., Zeller, A.: Predicting Faults from Cached History. In: Proceedings of the 29th International Conference on Software Engineering, pp.489–498 (2007)

    Google Scholar 

  6. Arumuga, P., Nainar,, Chen, T., Rosin, J., Liblit, B.: Statistical Debugging Using Compound Boolean Predicates. In: Proceedings of the 2007 international symposium on Software testing and analysis, pp. 5–15 (2007)

    Google Scholar 

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Authors and Affiliations

  1. The School of Software and Microelectronics, Peking University, Daxing District, Beijing, 102600, P.R. China

    Lian Yu, Changzhu Kong, Lei Xu, Jingtao Zhao & HuiHui Zhang

Authors
  1. Lian Yu
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  2. Changzhu Kong
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  3. Lei Xu
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  4. Jingtao Zhao
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  5. HuiHui Zhang
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Editor information

Editors and Affiliations

  1. School of Computer Science, Sichuan University, 610065, Chengdu, China

    Changjie Tang

  2. Department of Computer Science, The University of Western Ontario, Canada

    Charles X. Ling

  3. School of ITEE, The University of Queensland, Australia

    Xiaofang Zhou

  4. Faculty of Science & Engineering, York University, 355 Lumbers Building, M3J 1P3, Toronto, Ontario, Canada

    Nick J. Cercone

  5. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, 4072, Queensland, Australia

    Xue Li

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© 2008 Springer-Verlag Berlin Heidelberg

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Yu, L., Kong, C., Xu, L., Zhao, J., Zhang, H. (2008). Mining Bug Classifier and Debug Strategy Association Rules for Web-Based Applications. In: Tang, C., Ling, C.X., Zhou, X., Cercone, N.J., Li, X. (eds) Advanced Data Mining and Applications. ADMA 2008. Lecture Notes in Computer Science(), vol 5139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88192-6_40

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  • DOI: https://doi.org/10.1007/978-3-540-88192-6_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88191-9

  • Online ISBN: 978-3-540-88192-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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