Abstract
This paper describes a study of what we call intelligent search techniques as implemented in a software maintenance environment. The techniques studied include abbreviation concatenation and abbreviation expansion. We also describe rating algorithms used to prioritize the query results. To evaluate our approach, we present a series of experiments in which we compare our algorithms' ratings of results to ratings provided by software engineers.
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References
Albrechtsen H. Software information systems: Information retrieval techniques. In: Hall P, ed. Software Reuse and Reverse Engineering. London: Chapman & Hall, 1992.
Anquetil N, Lethbridge T. Extracting concepts from file names; a new file clustering criterion. In: ICSE'98, 1998:84-93.
Baeza-Yates R. Introduction to data structures and algorithms related to information retrieval. In: Frakes W, Baeza-Yates R, eds. Information Retrieval: Data Structure and Algorithms. Englewood, NJ: Prentice Hall, 1992.
Baeza-Yates R. Modern Information Retrieval. New York: Addison-Wesley, 1999.
Frakes WB, Nehmeh BA. Software reuse through information retrieval. SIGIR FORUM 1987;21(1/2):30-36.
Korfhage RR. Research in relevance feedback and query modification. In: Information Storage and Retrieval. NY: Wiley, 1997.
Lethbridge T. Integrated personal work management in the TkSee software exploration tool. In: Second International Symposium on (CoSET2000), ICSE 2000, 2000:31-38.
Lethbridge T, Anquetil N. Architecture of a source code exploration tool: A software engineering case study. University of Ottawa, CS Technical Report TR-97-07, 1997. Also available at http://www.site.uottawa.ca/∼tcl/papers/Cascon/TR-97-07.html
Lethbridge T, Singer J. Studies of the work practices of software engineers. In: Erdogmus H, Tanir O, eds. Advances in Software Engineering: Comprehension, Evaluation, and Evolution. Springer-Verlag, 2001:53-76.
Liu H. Intelligent search techniques for large software systems. M.Sc. Thesis, School of Information Technology and Engineering, University of Ottawa, 2001. Also available at http://www.site.uottawa.ca/∼tcl/gradtheses/hliu/
Maletic JI, Marcus A. Supporting program comprehension using semantic and structural information. In: Proc. of 23rd ICSE, Toronto, 2001:103-112.
Sayyad-Shirabad J, Lethbridge T, Lyon S. A little knowledge can go a long way towards program understanding. In: IWPC, Dearborn, MI, 1997:111-117.
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Liu, H., Lethbridge, T.C. Intelligent Search Methods for Software Maintenance. Information Systems Frontiers 4, 409–423 (2002). https://doi.org/10.1023/A:1020839810474
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DOI: https://doi.org/10.1023/A:1020839810474