Techniques for the Identification of Crosscutting Concerns: A Systematic Literature Review

Author:

Marçal Ingrid,Garcia Rogério Eduardo,Eler Danilo Medeiros,Olivete Junior Celso,Correia Ronaldo C. M.

Publisher

Springer International Publishing

Reference35 articles.

1. Babu, G.P., Murty, M.N.: A near-optimal initial seed value selection in k-means algorithm using a genetic algorithm. Pattern Recogn. Lett. 14(10), 763–769 (1993)

2. Biolchini, J., et al.: Systematic review in software engineering. System Eng. and Comp. Sci. Dept. COPPE/UFRJ, Tech. Rep. ES 679(05), 45 (2005)

3. Breu, S., Zimmermann, T.: Mining aspects from version history. In: Proc. 21st IEEE/ACM Int. Conf. on Automated Softw. Eng, pp. 221–230 (Sept 2006)

4. Breu, S., Krinke, J.: Aspect mining using event traces. In: Proc. 19th IEEE Int. Conf. on Automated Softw. Eng., ASE 2004, pp. 310–315. IEEE Comput. Soc., Washington, DC, USA (2004). http://dx.doi.org/10.1109/ASE.2004.12

5. Bruntink, M., et al.: An evaluation of clone detection techniques for crosscutting concerns. In: Proc. 20th IEEE Int. Conf. on Soft. Maint, pp. 200–209 (Sept 2004)

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