Automatically Labeling Software Components with Concept Mining
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-0135-7_44
Reference24 articles.
1. Kazman, R., Goldenson, D., Monarch, I., Nichols, W., Valetto, G.: Evaluating the effects of architectural documentation: a case study of a large scale open source project. IEEE Trans. Softw. Eng. 42(3), 220–260 (2016)
2. Dit, B., Revelle, M., Gethers, M., Poshyvanyk, D.: Feature location in source code: a taxonomy and survey. Wiley J. Softw. Evol. Process 25(1), 53–95 (2013)
3. Fowkes, J., Chanthirasegaran, P., Ranca, R., Allamanis, M., Lapata, M., Sutton, C.: Autofolding for source code summarization. In: IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C) (2016)
4. Kuhn, A.: Automatic labeling of software components and their evolution using log-likelihood ratio of word frequencies in source code. In: 6th IEEE International Working Conference on Mining Software Repositories (2009)
5. McBurney, P., Liu, C., McMillan, C., Weninger, T.: Improving topic model source code summarization. In: Proceedings of the 22nd International Conference on Program Comprehension, pp. 291–294 (2014)
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