Page 231 - 《软件学报》2020年第9期
P. 231
2852 Journal of Software 软件学报 Vol.31, No.9, September 2020
[87] Rao S, Medeiros H, Kak AC. Comparing incremental latent semantic analysis algorithms for efficient retrieval from software
libraries for bug localization. ACM SIGSOFT Software Engineering Notes, 2015,40(1):1−8. [doi: 10.1145/2693208.2693222]
[88] Naish L, Ramamohanarao NK. Multiple bug spectral fault localization using genetic programming. In: Proc. of the Australasian
Software Engineering Conf. 2015. 11−17. [doi: 10.1109/ASWEC.2015.12]
[89] Alduailij M, Al-Duailej M. Performance evaluation of information retrieval models in bug localization on the method level. In:
Proc. of the Int’l Conf. on Collaboration Technologies and Systems. 2015. 305−313. [doi: 10.1109/CTS.2015.7210439]
[90] Kilinç D, Yücalar F, Borandag E, Aslan E. Multi-Level reranking approach for bug localization. Expert Systems, 2016,33(3):
286−294. [doi: 10.1111/exsy.12150]
[91] Shi ZD, Keung JW, Bennin KE, Limsettho N, Song QB. A strategy to determine when to stop using automatic bug localization. In:
Proc. of the Int’l Computer Software and Applications Conf. 2016. 185−190. [doi: 10.1109/COMPSAC.2016.39]
[92] Rahman S, Rahman MM, Sakib K. An improved method level bug localization approach using minimized code space. In: Proc. of
the Int’l Conf. on Evaluation of Novel Approaches to Software Engineering. 2016. 179−200. [doi: 10.1007/978- 3-319-56390-9_9]
[93] Gore A, Choubey SD, Gangrade K. Improved bug localization technique using hybrid information retrieval model. In: Proc. of the
Int’l Conf. on Distributed Computing and Internet Technology. 2016. 127−131. [doi: 10.1007/978-3-319-28034-9_16]
[94] Shi ZD, Keung J, Bennin KE, Zhang ZJ. Comparing learning to rank techniques in hybrid bug localization. Applied Soft
Computing, 2019,62:636−648. [doi: 10.1016/j.asoc.2017.10.048]
[95] Loyola P, Gajananan K, Satoh F. Bug localization by learning to rank and represent bug inducing changes. In: Proc. of the Int’l
Conf. on Information and Knowledge Management. 2018. 657−665. [doi: 10.1145/3269206.3271811]
[96] Xiao Y, Keung J, Mi Q, Bennin KE. Bug localization with semantic and structural features using convolutional neural network and
cascade forest. In: Proc. of the Int’l Conf. on Evaluation and Assessment in Software Engineering. 2018. 101−111. [doi: 10.1145/
3210459.3210469]
[97] Rath M, Mäder P. Influence of structured information in bug report descriptions on IR-Based bug localization. In: Proc. of the
Euromicro Conf. on Software Engineering and Advanced Applications. 2018. 26−32. [doi: 10.1109/SEAA.2018.00014]
[98] Wang YJ, Yuan Y, Tong HH, Huo X, Li M, Xu F, Lu J. Bug localization via supervised topic modeling. In: Proc. of the Int’l Conf.
on Data Mining. 2018. 607−616. [doi: 10.1109/ICDM.2018.00076]
[99] Swe KEE, Oo HM. Bug localization approach using source code structure with different structure fields. In: Proc. of the Int’l Conf.
on Software Engineering Research, Management and Applications. 2018. 159−164. [doi: 10.1109/SERA.2018.8477206]
[100] Zhang T, Hu WJ, Luo XP, Ma XB. A commit messages-based bug localization for android applications. Int’l Journal of Software
Engineering and Knowledge Engineering, 2019,29(4):457−487. [doi: 10.1142/S0218194019500207]
[101] Polisetty S, Miranskyy AV, Basar A. On usefulness of the deep-learning-based bug localization models to practitioners. In: Proc. of
the Int’l Workshop on Predictor Models in Software Engineering. 2019. 16−25. [doi: 10.1145/3345629.3345632]
[102] Kim M, Lee E. A novel approach to automatic query reformulation for IR-based bug localization. In: Proc. of the Symp. on Applied
Computing. 2019. 1752−1759. [doi: 10.1145/3297280.3297451]
[103] Ranman S, Ganguly KK, Sakib K. An improved bug localization using structured information retrieval and version history. In: Proc.
of the Int’l Conf. on Computer and Information Technology. 2015. 190−195. [doi: 10.1109/ICCITechn.2015.7488066]
[104] Shao P, Atkison T, Kraft NA, Smith RK. Combining lexical and structural information for static bug localisation. Int’l Journal of
Computer Applications in Technology, 2012, 44(1),61−71. [doi: 10.1504/IJCAT.2012.048208]
[105] Davies S, Roper M. Bug localisation through diverse sources of information. In: Proc. of the Int’l Symp. on Software Reliability
Engineering. 2013. 126−131. [doi: 10.1109/ISSREW.2013.6688891]
[106] Salton G, McGill M. Introduction to Modern Information Retrieval. New York: McGraw-Hill, 1983. [doi: 10.1080/00048623.2010.
10721488]
[107] Deerwester S, Dumais ST, Furnas GW, Landauer TK, Harshman R. Indexing by latent semantic analysis. Journal of The American
Society for Information Science, 1990,41(6):391−407.
[108] Blei D, Ng AY, Jordan M. Latent dirichlet allocation. Journal of Machine Learning Research, 2003,3(4/5):993−1022. [doi: 10.1162/
jmlr.2003.3.4-5.993]