Handling language variations in open source bug reporting systems

Proceedings - 23rd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2012

Volumn , Issue , 2012, Pages 325-330

  Banerjee, Sean ^a   Musgrove, Jesse ^a   Cukic, Bojan ^a  

^a West Virginia University   (United States)

Author keywords

Alternate spellings; Duplicate bug reports; Software maintenance; Software reliability; String algorithms; Typographical errors

Indexed keywords

ALTERNATE SPELLINGS; BUG REPORTS; DUPLICATE DETECTION; FIREFOX; FREEFORMS; LANGUAGE PROBLEMS; LANGUAGE VARIATION; LEXICAL DATABASE; NATURAL LANGUAGES; OPEN SOURCES; OPEN-SOURCE SOFTWARES; REPORTING SYSTEMS; SOFTWARE PROBLEMS; SOFTWARE SYSTEMS; STOP WORD; STRING ALGORITHMS; TOKENIZATION; TYPOGRAPHICAL ERRORS;

COMPUTER SOFTWARE MAINTENANCE; ERRORS; MAINTENANCE; NATURAL LANGUAGE PROCESSING SYSTEMS; SOFTWARE RELIABILITY; TECHNICAL PRESENTATIONS;

OPEN SYSTEMS;

EID: 84873364365     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSREW.2012.85     Document Type: Conference Paper

References (16)

1. A. Carlson and I. Fette. 2007. Memory-Based Context-Sensitive Spelling Correction at Web Scale. In Proceedings of the Sixth International Conference on Machine Learning and Applications (ICMLA '07). IEEE Computer Society, Washington, DC, USA, 166-171.
2. M. Banko and E. Brill. 2001. Scaling to very very large corpora for natural language disambiguation. In Proceedings of the 39th Annual Meeting on Association for Computational Linguistics (ACL '01).
3. Hunspell: http://search.cpan.org/~eleonora/text-hunspell-1.0/Hunspell.pm.
4. K. Kukich. 1992. Techniques for automatically correcting words in text. ACM Comput. Surv. 24, 4 (December 1992), 377-439.
5. A. Golding and D. Roth. 1999. A Winnow-Based Approach to Context-Sensitive Spelling Correction. Mach. Learn. 34, 1-3 (February 1999), 107-130.
6. R. Feldman and J. Sanger. The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press, 2006.
7. E. Hatcher and O. Gospodnetic. Lucene in Action (In Action series). Manning Publications Co., Greenwich, CT, USA, 2004.
8. A. Golding and Y. Schabes. 1996. Combining Trigram-based and feature-based methods for context-sensitive spelling correction. In Proceedings of the 34th annual meeting on Association for Computational Linguistics (ACL '96). Association for Computational Linguistics, Stroudsburg, PA, USA, 71-78.
9. Algorithms and Theory of Computation Handbook, CRC Press LLC, 1999, "Levenshtein distance", in Dictionary of Algorithms and Data Structures [online], Paul E. Black, ed., U.S. National Institute of Standards and Technology. 14 August 2008
10. P. Runeson, M. Alexandersson, and O. Nyholm. Detection of duplicate defect reports using natural language processing. In ICSE 07: Proceedings of the 29th international conference on Software Engineering, pages 499-510, Washington, DC, USA, 2007. IEEE Computer Society.
11. N. Ehsan, H. Faili Towards grammar checker development for Persian language. The 6th IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLPKE' 10), 2010; 150-157.
12. Ingason AK, Johannsson SB, Rognvaldsson E, Helgadóttir S, Loftsson H. Context-sensitive spelling correction and rich morphology. Proceedings of NODALIDA, vol 17, 2009.
13. GNU Aspell - http://aspell.net/.
14. T. Prifti, S. Banerjee, and B. Cukic. Detecting bug duplicate reports through local references. In Proceedings of the 7th International Conference on Predictive Models in Software Engineering (Promise 2011).
15. George A. Miller (1995). WordNet: A Lexical Database for English. Communications of the ACM Vol. 38, No. 11: 39-41.
16. Christiane Fellbaum (1998, ed.) WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press.