A survey on the use of topic models when mining software repositories
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
http://link.springer.com/content/pdf/10.1007/s10664-015-9402-8.pdf
Reference260 articles.
1. Abebe SL, Alicante A, Corazza A, Tonella P (2013) Supporting concept location through identifier parsing and ontology extraction. J Syst Softw 86 (11):2919–2938
2. Ahsan SN, Ferzund J, Wotawa F (2009) Automatic software bug triage system (BTS) based on Latent Semantic Indexing and Support Vector Machine. In: Proceedings of the 4th international conference on software engineering advances, pp 216–221
3. Alhindawi N, Dragan N, Collard M, Maletic J (2013a) Improving feature location by enhancing source code with stereotypes. In: Proceedings of the 2013 29th IEEE international conference on software maintenance, pp 300–309
4. Alhindawi N, Meqdadi O, Bartman B, Maletic J (2013b) A tracelab-based solution for identifying traceability links using lsi. In: Proceedings of 2013 international workshop on traceability in emerging forms of software engineering (TEFSE), pp 79–82
5. Ali N, Sabane A, Gueheneuc Y, Antoniol G (2012) Improving bug location using binary class relationships. In: Proceedings of the 2012 IEEE 12th international working conference on source code analysis and manipulation, pp 174–183
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