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Research on an Educational Software Defect Prediction Model Based on SVM

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Book cover Entertainment for Education. Digital Techniques and Systems (Edutainment 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6249))

Abstract

We must pay attention and find defects, defects through the prediction to quantify the quality management and quality in order to achieve this goal, requires an estimate of the various defect detection process. Software defects are the departure of software are products’ anticipative function. This paper collecting the data of the software defects, then, using the SVM model the predictive values are gained analyzing the predictive results, software are organizations can improve software control measure software process and allocate testing resources effectively.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Changchun Normal University, Changchun, 130032, China

    Guang-jie Liu

  2. Software College of Northeast Normal University, Changchun, 130024, China

    Wen-yong Wang

Authors
  1. Guang-jie Liu
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  2. Wen-yong Wang
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Editor information

Editors and Affiliations

  1. Institute of Automation, LIAMA, The Sino-French Lab in Computer Science, NLPR, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, 100080, Beijing, China

    Xiaopeng Zhang

  2. School of Software, Ideal Institute of Information and Technology, E-learning Laboratory of Jilin Province, Engineering & Research Center of E-learning, Northeast Normal University, 130117, ChangChun, China

    Shaochun Zhong

  3. State Key Lab of CAD&CG, DEARC – Digital Entertainment and Animation Research Center, Zhejiang University, 310027, Hangzhou, China

    Zhigeng Pan

  4. School of Information Technology, South St. Murdoch, Murdoch University, 6150, Perth, WA, Australia

    Kevin Wong

  5. School of Education and Science, Digital Entertainment Research Center, Nanjing Normal University, 310097, Nanjing, China

    Ruwei Yun

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© 2010 Springer-Verlag Berlin Heidelberg

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Liu, Gj., Wang, Wy. (2010). Research on an Educational Software Defect Prediction Model Based on SVM. In: Zhang, X., Zhong, S., Pan, Z., Wong, K., Yun, R. (eds) Entertainment for Education. Digital Techniques and Systems. Edutainment 2010. Lecture Notes in Computer Science, vol 6249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14533-9_22

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  • DOI: https://doi.org/10.1007/978-3-642-14533-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14532-2

  • Online ISBN: 978-3-642-14533-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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