Abstract
The development and maintenance of a reuse repository requires significant investment, planning and managerial support. To minimise risk and ensure a healthy return on investment, reusable components should be accessible, reliable and of a high quality. In this paper we concentrate on accessability; we describe a technique which enables a developer to effectively and conveniently make use of large scale libraries. Unlike most previous solutions to component retrieval, our tool, RASCAL, is a proactive component recommender.
RASCAL recommends a set of task-relevant reusable components to a developer. Recommendations are produced using Collaborative Filtering (CF). We compare and contrast CF effectiveness when using two information retrieval techniques, namely Vector Space Model (VSM) and Latent Semantic Indexing (LSI). We validate our technique on real world examples and find overall results are encouraging; notably, RASCAL can produce reasonably good recommendations when they are most valuable i.e., at an early stage in code development.
Funding provided by the IRCSET under grant RS/2003/127.
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References
Mohagheghi, P., et al.: An empirical study of software reuse vs. defect-density and stability. In: ICSE 2004: Proceedings of the 26th International Conference on Software Engineering, Washington, DC, USA, pp. 282–292. IEEE Computer Society, Los Alamitos (2004)
Yongbeom, K., Stohr, E.: Software reuse: Survey and research directions. Management Information Systems 14(4), 113–147 (1998)
Ye, Y., Fischer, G.: Reuse-conducive development environments. International Journal of Automated Software Engineering 12, 199–235 (2005)
Poulin, J.: Reuse: Been there done that. Communications of the ACM 42(5) (1999)
Inoue, K., et al.: Component rank: relative significance rank for software component search. In: ICSE 2003: Proceedings of the 25th International Conference on Software Engineering, Washington, DC, USA, pp. 14–24. IEEE Computer Society, Los Alamitos (2003)
Sarwar, B.M., Karypis, G., Konstan, J.A., Reidl, J.: Item-based collaborative filtering recommendation algorithms. In: World Wide Web, pp. 285–295 (2001)
Letsche, T.A., Berry, M.W.: Large-scale information retrieval with latent semantic indexing. Inf. Sci. 100(1-4), 105–137 (1997)
Landauer, T., Foltz, P., Laham, D.: An introduction to latent semantic analysis. Discourse Processes 25, 259–284 (1998)
Deerwester, S., et al.: Indexing by latent semantic analysis. Journal of the American Society for Information Science 41, 391–407 (1990)
Prieto-Diaz, R., Freeman, P.: Classifying software for reuse. IEEE Software 4(1), 6–16 (1987)
Mili, A., Mili, R., Mittermeir, R.T.: A survey of software reuse libraries. Annals of Software Engineering 5, 349–414 (1998)
Sugumaran, V., Storey, V.C.: A semantic-based approach to component retrieval. SIGMIS Database 34(3), 8–24 (2003)
Girardi, M., Ibrahim, B.: Using english to retrieve software. Journals of Systems and Software 30(3), 249–270 (1995)
Drummond, C.G., Ionescu, D., Holte, R.C.: A learning agent that assists the browsing of software libraries. IEEE Trans. Softw. Eng. 26(12), 1179–1196 (2000)
Sarwar, B.M., et al.: Application of dimensionality reduction in recommender systems–a case study. In: Proceedings of ACM WebKDD Workshop (2000)
Marcus, A., Maletic, J.I.: Recovering documentation-to-source-code traceability links using latent semantic indexing. In: ICSE 2003: Proceedings of the 25th International Conference on Software Engineering, Washington, DC, USA, pp. 125–135. IEEE Computer Society, Los Alamitos (2003)
Marcus, A., Maletic, J.I.: Identification of high-level concept clones in source code. In: ASE 2001: Proceedings of the 16th IEEE International Conference on Automated Software Engineering, Washington, DC, USA, p. 107. IEEE Computer Society, Los Alamitos (2001)
Ebert, J.: Storm - a user story tool (2002), http://xpstorm.sourceforge.net
Apache: Apache software foundation - bytecode engineering library (2002-2003) (2003), http://jakarta.apache.org/bcel/index.html
Dumais, S.: Improving the retrieval of information from external sources. Behavior Research Methods, Instruments and Computers 23(2), 229–236 (1991)
Dumais, S.: Latent semantic indexing (lsi) and trec-2. In: The Second Text REtrieval Conference (TREC2), National Institute of Standards and Technology Special Publication 500-215, pp. 105–116 (1994)
Zelikovitz, S., Hirsh, H.: Using lsi for text classification in the presence of background text. In: CIKM 2001: Proceedings of the tenth international conference on Information and knowledge management, pp. 113–118. ACM Press, New York (2001)
Berry, M.: Large scale singular value computations. Int. Journal of Supercomputer Applications 6, 13–49 (1992)
Bezos, J.: Amazon.com plc., Seattle, WA, USA, 98108–91226 (2004), www.amazon.com
Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the Fourteenth Annual Conference on Uncertainty in Artificial Intelligence, pp. 43–52 (1998)
McCarey, F., Cinnéide, M.O., Kushmerick, N.: Knowledge reuse for software reuse. In: Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (2005)
van Rijsbergen, C.: Information Retrieval. Butterworths, London (1979)
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McCarey, F., Cinnéide, M.Ó., Kushmerick, N. (2006). Recommending Library Methods: An Evaluation of the Vector Space Model (VSM) and Latent Semantic Indexing (LSI). In: Morisio, M. (eds) Reuse of Off-the-Shelf Components. ICSR 2006. Lecture Notes in Computer Science, vol 4039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11763864_16
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DOI: https://doi.org/10.1007/11763864_16
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