Page 229 - 《软件学报》2020年第9期

2850 Journal of Software 软件学报 Vol.31, No.9, September 2020

[44] Thung F, Le TDB, Kochhar PS, Lo D. BugLocalizer: Integrated tool support for bug localization. In: Proc. of the Joint Meeting of
the European Software Engineering Conf. and the Symp. on the Foundations of Software Engineering. 2014. 767−770. [doi: 10.
1145/2635868.2661678]
[45] Le TDB, Oentaryo RJ, Lo D. Information retrieval and spectrum based bug localization: Better together. In: Proc. of the Joint
Meeting of the European Software Engineering Conf. and the Symp. on the Foundations of Software Engineering. 2015. 579−590.
[doi: 10.1145/2786805.2786880]
[46] Chaparro O, Lu J, Zampetti F, Moreno L. Detecting missing information in bug descriptions. In: Proc. of the Int’l Symp. on
Foundations of Software Engineering. 2017. 396−407. [doi: 10.1145/3106237.3106285]
[47] Ye X, Bunescu R, Liu C. Learning to rank revelant files for bug reports using domain knowledge. In: Proc. of the Joint Meeting of
the European Software Engineering Conf. and the Symp. on the Foundations of Software Engineering. 2014. 689−699. [doi: 10.
1145/2635868.2635874]
[48] Kochhar PS, Tian Y, Lo D. Potential biases in bug localization: Do they matter? In: Proc. of the Int’l Conf. on Automated Software
Engineering. 2014. 803−814. [doi: 10.1145/2642937.2642997]
[49] Nguyen AT, Nguyen TT, SI-Kofahi J, Nguyen HV, Nguyen TN. A topic-based approach for narrowing the search space of buggy
files from a bug report. In: Proc. of the Int’l Conf. on Automated Software Engineering. 2011. 263−272. [doi: 10.1109/ASE.2011.
6100062]
[50] Wang SW, Lo D, Lawall J. Compositional vector space models for improved bug localization. In: Proc. of the Int’l Conf. on
Software Maintenance and Evolution. 2014. 171−180. [doi: 10.1109/ICSME.2014.39]
[51] Chaparro O, Florez JM, Marcus A. Using observed behavior to reformulate queries during text retrieval-based bug localization. In:
Proc. of the Int’l Conf. on Software Maintenance and Evolution. 2017. 376−387. [doi: 10.1109/ICSME.2017.100]
[52] Lawrie DJ, Binkley DW. On the value of bug reports for retrieval-based bug localization. In: Proc. of the Int’l Conf. on Software
Maintenance and Evolution. 2018. 524−528. [doi: 10.1109/ICSME.2018.00048]
[53] Mills C, Pantiuchina J, Parra E, Bavota G, Haiduc S. Are bug reports enough for text retrieval-based bug localization? In: Proc. of
the Int’l Conf. on Software Maintenance and Evolution. 2018. 381−392. [doi: 10.1109/ICSME.2018.00046]
[54] Dao T, Zhang LM, Meng N. How does execution information help with information-retrieval based bug localization? In: Proc. Int’l
Conf. on Program Comprehension. 2017. 241−250. [doi: 10.1109/ICPC.2017.29]
[55] Lam AN, Nguyen AT, Nguyen HA, Nguyen TN. Bug localization with combination of deep learning and information retrieval. In:
Proc. Int’l Conf. on Program Comprehension. 2017. 218−229. [doi: 10.1109/ICPC.2017.24]
[56] Takahashi A, Sae-Lim N, Hayashi S, Saeki M. A preliminary study on using code smells to improve bug localization. In: Proc. Int’l
Conf. on Program Comprehension. 2018. 324−327. [doi: 10.1145/3196321.3196361]
[57] Beard MD. Extending bug localization using information retrieval and code clone location techniques. In: Proc. of the Working
Conf. on Reverse Engineering. 2011. 425−428. [doi: 10.1109/WCRE.2011.61]
[58] Beard MD, Kraft NA, Etzkorn LH, Lukins SK. Measuring the accuracy of information retrieval based bug localization techniques.
In: Proc. of the Working Conf. on Reverse Engineering. 2011. 124−128. [doi: 10.1109/WCRE.2011.23]
[59] Davies S, Roper M, Wood M. Using bug report similarity to enhance bug localisation. In: Proc. of the Working Conf. on Reverse
Engineering. 2012. 125−134. [doi: 10.1109/WCRE.2012.22]
[60] Sisman B, Kak AC. Incorporating version histories in information retrieval based bug localization. In: Proc. of the Working Conf.
on Mining Software Repositories. 2012. 50−59. [doi: 10.1109/MSR.2012.6224299]
[61] Sisman B, Kak AC. Assisting code search with automatic query reformulation for bug localization. In: Proc. of the Working Conf.
on Mining Software Repositories. 2013. 309−318. [doi: 10.1109/MSR.2013.6624044]
[62] Wang SH, Khomh F, Zou Y. Improving bug localization using correlations in crash reports. In: Proc. of the Working Conf. on
Mining Software Repositories. 2013. 247−256. [doi: 10.1109/MSR.2013.6624036]
[63] Rath M, Lo D, Mäder P. Analyzing requirements and traceability information to improve bug localization. In: Proc. of the Working
Conf. on Mining Software Repositories. 2018. 442−453. [doi: 10.1145/3196398.3196415]
[64] Xiao Y, Keung J. Improving bug localization with character-level convolutional neural network and recurrent neural network. In:
Proc. of the Asia-Pacific Software Engineering Conf. 2018. 703−704. [doi: 10.1109/APSEC.2018.00097]