— Mining software bugs provides a way to develop reliable software. Developers can improve software quality by retrieving, analyzing and fixing software bugs. In this paper we present a technique for semantic concept based retrieval of software bug report. The technique combines folksonomy, keyword and facet-based retrieval methods satisfying developers and users’ need. The technique improves the efficiency of software bug report retrieval by applying semantic concepts. Developers are likely to find the reason of software failure and fix the bugs by using this technique. Finally, we provide a case study to show the feasibility of our technique.
— Software mining, bugs classification, semantic concepts, folksonomy.
T. Zhang and B. Lee are with the School of Computer Science, University of Seoul, Seoul, Korea (e-mail: kerryking@ ieee.org, firstname.lastname@example.org).
H. Kim and J. Lee are with the Department of Electrical and Computer Engineering, University of Seoul, Seoul, Korea (e-mail: email@example.com, firstname.lastname@example.org).
S. Kang is with the Division of Computer Science and Engineering, Hanyang University, Seoul, Korea (e-mail: email@example.com).
I. Shin is with the Department of Electronics and Information Engineering, Seoul National University of Science & Technology, Seoul, Korea (email: firstname.lastname@example.org).
Cite: Tao Zhang, Byungjeong Lee, Hanjoon Kim, Jaeho Lee, Sooyong Kang, and Ilhoon Shin, " Semantic Concept Based Retrieval of Software Bug Report with Feedback," International Journal of Innovation, Management and Technology vol. 4, no. 3, pp. 356-360, 2013.