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An HMM-based approach for automatic detection and classification of duplicate bug reports

Title:

An HMM-based approach for automatic detection and classification of duplicate bug reports

Ebrahimi, Neda, Trabelsi, Abdelaziz, Islam, Md. Shariful, Hamou-Lhadj, Abdelwahab and Khanmohammadi, Kobra (2019) An HMM-based approach for automatic detection and classification of duplicate bug reports. Information and Software Technology . ISSN 09505849 (In Press)

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Official URL: http://dx.doi.org/10.1016/j.infsof.2019.05.007

Abstract

Software projects rely on their issue tracking systems to guide maintenance activities of software developers. Bug reports submitted to the issue tracking systems carry crucial information about the nature of the crash (such as texts from users or developers and execution information about the running functions before the occurrence of a crash). Typically, big software projects receive thousands of reports every day.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Article
Refereed:Yes
Authors:Ebrahimi, Neda and Trabelsi, Abdelaziz and Islam, Md. Shariful and Hamou-Lhadj, Abdelwahab and Khanmohammadi, Kobra
Journal or Publication:Information and Software Technology
Date:14 May 2019
Funders:
  • Natural Sciences and Engineering Research Council of Canada (NSERC)
Digital Object Identifier (DOI):10.1016/j.infsof.2019.05.007
Keywords:Duplicate bug reports; Stack traces; Hidden Markov models; Machine learning; Mining software repositories
ID Code:985443
Deposited By: MONIQUE LANE
Deposited On:03 Jun 2019 18:40
Last Modified:03 Jun 2019 18:40

References:

J. Anvik, L. Hiew, G.C. Murphy Coping with an open bug repository
Proceedings of the OOPSLA Workshop on Eclipse Technology Exchange Eclipse’05(2005), pp. 35-39 Oct. 16, 2005 - Oct. 17, 2005

A. Lazar, S. Ritchey, B. Sharif Generating duplicate bug datasets
Proceedings of the Eleventh Working Conference on Mining Software Repositories - MSR 2014 (2014), pp. 392-395

J. Deshmukh, K.M. Annervaz, S. Podder, S. Sengupta, N. Dubash Towards Accurate Duplicate Bug Retrieval using Deep Learning Techniques
Proceedings of the International Conference on Software Maintenance and Evolution ICSME (2017), pp. 115-124

Y. Tian, C. Sun, D. Lo Improved duplicate bug report identification
Proceedings of the European Conference on Software Maintenance and Reengineering CSMR (2012), pp. 385-390

Y. Dang, R. Wu, H. Zhang, D. Zhang, P. Nobel ReBucket: a method for clustering duplicate crash reports based on call stack similarity
Proceedings of the International Conference on Software Engineering (2012), pp. 1084-1093

A. Lazar, S. Ritchey, B. Sharif Improving the accuracy of duplicate bug report detection using textual similarity measures Proceedings of the Eleventh Working Conference on Mining Software Repositories - MSR 2014 (2014), pp. 308-311

N. Bettenburg, R. Premraj, T. Zimmermann, S. Kim Duplicate bug reports considered harmful... Really? Proceedings of the IEEE International Conference on Software Maintenance, ICSM(2008), pp. 337-345

N. Jalbert, W. Weimer Automated duplicate detection for bug tracking systems Proceedings of the International Conference on Dependable Systems and Networks(2008), pp. 52-61

C. Sun, D. Lo, X. Wang, J. Jiang, S.-C. Khoo A discriminative model approach for accurate duplicate bug report retrieval Proceedings of the Thirty-Second ACM/IEEE International Conference on Software Engineering, 1 (2010), pp. 45-54

T. Zimmermann, R. Premraj, N. Bettenburg, S. Just, A. Schröter, C. Weiss What makes a good bug report? IEEE Trans. Softw. Eng., 36 (5) (2010), pp. 618-643

A. Schröter, N. Bettenburg, R. Premraj Do stack traces help developers fix bugs? Proceedings of the International Conference on Software Engineering (2010), pp. 118-121

J. Anvik, L. Hiew, G.C. Murphy Who should fix this bug? Proceeding of the Twenty-Eighth International Conference on Software Engineering ICSE ’06, 2006 (2006), p. 361

N. Ebrahimi Koopaei, A. Hamou-Lhadj CrashAutomata: an approach for the detection of duplicate crash reports based on generalizable automata Proceedings of the Twenty-Fifth Annual International Conference on Computer Science and Software Engineering (2015), pp. 201-210

C. Wong, Y. Xiong, H. Zhang, D. Hao, L. Zhang, H. Mei Boosting Bug-Report-Oriented Fault Localization with Segmentation and Stack-Trace Analysis Proceedings of the 2014 IEEE International Conference on Software Maintenance and Evolution ICSME (2014), pp. 181-190

E. Shihab, A. Ihara, Y. Kamei, W.M. Ibrahim, M. Ohira, B. Adams, A.E. Hassan, K.I.Matsumoto Predicting re-opened bugs: a case study on the Eclipse project Proceedings of the Working Conference on Reverse Engineering WCRE (2010), pp. 249-258

L. Moreno, J.J. Treadway, A. Marcus, W. Shen On the use of stack traces to improve text retrieval-based bug localization Proceedings of the Thirtieth International Conference on Software Maintenance and Evolution, ICSME 2014 (2014), pp. 151-160

S. Kim, T. Zimmermann, N. Nagappan Crash graphs: an aggregated view of multiple crashes to improve crash triage Proceedings of the International Conference on Dependable Systems and Networks(2011), pp. 486-493

R. Wu, H. Zhang, S.-C. Cheung, S. Kim CrashLocator: locating crashing faults based on crash stacks Proceedings of the International Symposium on Software Testing and Analysis ISSTA 2014 (2014), pp. 204-214

M. Nayrolles, A. Hamou-Lhadj, S. Tahar, A. Larsson A bug reproduction approach based on directed model checking and crash traces
J. Softw. Evol. Process, 29 (3) (2017), p. e1789

N. Chen, S. Kim Star: Stack Trace Based Automatic Crash Reproduction Via Symbolic Execution, (Ph.D. thesis) Star: Stack Trace Based Automatic Crash Reproduction Via Symbolic Execution, (Ph.D. thesis), 41, Hong Kong University of Science and Technology (2015), pp. 198-220

N. Ebrahimi Koopaei, M.S. Islam, A. Hamou-Lhadj, M. Hamdaqa An Effective Method for Detecting Duplicate Crash Reports Using Crash Traces and Hidden Markov Models Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering CASCON (2016), pp. 75-84

“Life Cycle of a Bug.” [Online]. Available:https://www.bugzilla.org/docs/4.4/en/html/lifecycle.html. [Accessed: 23-Jul-2018].

Z. Gu, E.T. Barr, D.J. Hamilton, Z. Su Has the bug really been fixed?
Proceedings of the ACM/IEEE Thirty-Second International Conference on Software Engineering, 1 (2010), pp. 55-64

G. Cuevas Managing the software process with a software process improvement tool in a small enterprise J. Softw. Evol. Process (July 2010) (2012), pp. 481-491

J. Zhou, H. Zhang, D. Lo Where should the bugs be fixed ?
Proceedings of the Thirty-Fourth International Conference on Software Engineering(2012), pp. 14-24

“Bugzilla.” [Online]. Available: https://bugzilla.mozilla.org/.

L.R. Rabiner A tutorial on hidden Markov models and selected applications in speech recognition Proc. IEEE, 77 (2) (1989), pp. 257-286

M. Castelluccio, C. Sansone, L. Verdoliva, G. Poggi Automatically analyzing groups of crashes for finding correlations Proceedings of the Eleventh Joint Meeting on Foundations of Software Engineering ESEC/FSE 2017 (2017), pp. 717-726

A. Alipour, A. Hindle, E. Stroulia A contextual approach towards more accurate duplicate bug report detection Proceedings of the IEEE International Conference on Mining Software Repositories(2013), pp. 183-192

M.S. Rakha, C.P. Bezemer, A.E. Hassan Revisiting the performance evaluation of automated approaches for the retrieval of duplicate issue reports IEEE Trans. Softw. Eng., 5589 (c) (2017), pp. 1-27

A.T. Nguyen, T.T.T.N. Nguyen, D. Lo, C. Sun Duplicate bug report detection with a combination of information retrieval and topic modeling
Proceedings of the Twenty-Seventh IEEE/ACM International Conference on Automated Software Engineering (2012), p. 70

C. Sun, D. Lo, S.C. Khoo, J. Jiang Towards more accurate retrieval of duplicate bug reports Proceedings of the Twenty-Sixth IEEE/ACM International Conference on Automated Software Engineering ASE 2011 (2011), pp. 253-262

J. Lerch, M. Mezini Finding Duplicates of Your Yet Unwritten Bug Report Proceedings of the European Conference on Software Maintenance and Reengineering CSMR (2013), pp. 69-78

N. Kaushik, L. Tahvildari A comparative study of the performance of IR models on duplicate bug detection Proceedings of the European Conference on Software Maintenance and Reengineering, CSMR (2012), pp. 159-168

M.J. Lin, C.Z. Yang, C.Y. Lee, C.C. Chen Enhancements for duplication detection in bug reports with manifold correlation features
J. Syst. Softw., 0 (2014), pp. 1-11

X. Wang, D. Lo, J. Jiang, L. Zhang, H. Mei Extracting paraphrases of technical terms from noisy parallel software corpora Proceedings of the ACL-IJCNLP 2009 Conference Short Papers (2009), pp. 197-200

M.S. Rakha, W. Shang, A.E. Hassan Studying the needed effort for identifying duplicate issues Empir. Softw. Eng., 21 (5) (2016), pp. 1960-1989

P. Runeson, M. Alexandersson, O. Nyholm Detection of duplicate defect reports using natural language processing Proceedings of the International Conference on Software Engineering (2007), pp. 499-508

X.W.X. Wang, L.Z.L. Zhang, T.X.T. Xie, J. Anvik, J.S.J. Sun An approach to detecting duplicate bug reports using natural language and execution information Proceedings of the ACM/IEEE Thirtieth International Conference on Software Engineering (2008)

A. Sureka, P. Jalote Detecting duplicate bug report using character N-gram-based features Proceedings of the Asia-Pacific Software Engineering Conference APSEC (2010), pp. 366-374

A. Tsuruda, Y. Manabe, M. Aritsugi Can we detect bug report duplication with unfinished bug reports ? Proceedings of the Asia-Pacific Software Engineering Conference (2015), pp. 151-158

S. Wang, F. Khomh, Y. Zou Improving bug localization using correlations in crash reports Proceedings of the IEEE International Working Conference on Mining Software Repositories (2013), pp. 247-256

K. Koochekian Sabor, A. Hamou-lhadj, A. Larsson DURFEX : a Feature Extraction Technique for Efficient Detection of Duplicate Bug Reports
Proceedings of the International Conference on Software Quality, Reliability, and Security QRS (2017), pp. 240-250

P.K. Novak, N. Lavrač, G.I. Webb Supervised descriptive rule discovery: a unifying survey of contrast set, emerging pattern and subgroup mining J. Mach. Learn. Res., 10 (Feb) (2009), pp. 377-403
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