Feature location by IR modules and call graph

Proceedings of the 47th Annual Southeast Regional Conference, ACM-SE 47

Volumn , Issue , 2009, Pages

  Shao, Peng ^a   Smith, Randy K ^a  

^a Department of Computer Science   (United States)

Author keywords

Call graph; Feature location; Information retrieval

Indexed keywords

BUG REPORTS; CALL GRAPHS; FEATURE LOCATION; LARGE-SCALE SOFTWARE PROJECTS; LATENT SEMANTIC INDEXING; LEXICAL INFORMATION; SOURCE CODES; STRUCTURAL INFORMATION; SYSTEM TEST; TEST CASE; UNIT TESTS;

INFORMATION RETRIEVAL; INFORMATION SERVICES; PROGRAM DEBUGGING; SPONTANEOUS EMISSION; TESTING; XML;

SOFTWARE TESTING;

EID: 70449714017     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1566445.1566539     Document Type: Conference Paper

References (16)

1. Fabio Crestani, Mounia Lalmas, Cornelis Joost van Rijsbergen, "Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information", Springer, the Representation and Retrieval of Information, 1998.
2. Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, "Introduction to Information Retrieval", Cambridge University Press. 2008.
3. C. J. van Rijsbergen, "Information Retrieval", University of Glasgow, 1999.
4. J. Konclin and M. Bergen, "Gibis: A Hypertext Tool for Exploratory Policy Discussion", ACM Trans. Office Information Systems, Oct. 1988.
5. Robertson, S. E. and K. Sparck Jones. "Relevance Weighting Of Search Terms", Journal of the American Society for Information Science, vol. 27, 1977.
6. Fuhr, N. "Models for Retrieval with Probabilistic Indexing", Information Processing and Management.v. 25, no.1, 1989.
7. Turtle H. and W. B. Croft. "Efficient Probabilistic Inference for Text Retrieval", Proceedings of RIAO 3, 1991.
8. Wong, S. K. M. and Y. Y. Yao. "A Probability Distribution Model for Information Retrieval" Information Processing and Management, v. 25 no. 1 pp. 39-53, 1989.
9. D. Harman, "Ranking Algorithms", Information Retrieval: Data Structures and Algorithms, pp. 363-392, 1992.
10. G. Salton and C. Buckley, "Term-Weighting Approaches in Automatic Text Retrieval", Information Processing and Management, vol. 24, no. 5, pp. 513-523, 1988.
11. W.B. Frakes and R. Baeza-Yates, "Information Retrieval: Data Structures and Algorithms", Englewood Cliffs, N.J.: Prentice-Hall, 1992.
12. G. Antoniol and Y. Guéhéneuc, "Feature Identification: A Novel Approach and a Case Study", Proc. 21st IEEE Int'l Conf. Software Maintenance (ICSM '05), pp. 357-366, 2005.
13. G. Antoniol and Y.G. Guéhéneuc, "Feature Identification: An Epidemiological Metaphor", IEEE Trans. Software Eng., vol. 32, no. 9, pp. 627-641, Sept. 2006.
14. Poshyvanyk, D.; Gueheneuc, Y.-G.; Marcus, A.; Antoniol, G.; Rajlich, V., "Feature Location Using Probabilistic Ranking of Methods Based on Execution Scenarios and Information Retrieval", Software Engineering, IEEE Transactions on Volume 33, Issue 6, Page(s):420 - 432, June 2007
15. S. Deerwester, S.T. Dumais, G.W. Furnas, T.K. Landauer, and R. Harshman, Indexing by Latent Semantic Analysis", J. Am. Soc. Information Science, vol. 41, pp. 391-407, 1990.
16. A. Marcus, A. Sergeyev, V. Rajlich, and J. Maletic, "An Information Retrieval Approach to Concept Location in Source Code", Proc. 11th IEEE Working Conf. Reverse Eng