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5 CONCLUSION
This work showed through a systematic review and
the further analysis of the retrieved papers that there
are few experiments concerning AOP and perfor-
mance in scientific literature. More specifically, too
few experiments were reported about the performance
of AOP techniques when implementing crosscutting
concerns. From the results, it is clear that there is no
prevailing implemented concern in the studies. On
the contrary, most of the implemented concerns were
domain specific.
Most papers postulated that runtime weaving re-
quires more effort at run-time, impacting on perfor-
mance. However, according to the results of this re-
search, the weaving type process does not appear to
be the only factor that impacts performance. Other
variables such as the used aspect weaver, the imple-
mented crosscutting concern, the aspect programming
language and even the performance method of evalu-
ation could impact the performance results.
This systematic review about AOP and perfor-
mance address several research fields for future
works. We suggest that one of the possible rea-
sons that explain why performance evaluation of AOP
did not attract more attention from the community is
rooted in the complexity of establishing a comprehen-
sive design of experiment that could produce more
solid analysis on the impact of AOP in the perfor-
mance of running systems. For instance, the devel-
opment of synthetic benchmarks would help to ex-
plain the impact that transformed crosscutting con-
cerns through AOP have in real applications and in
what circumstances that impact occurs in the overall
performance.
ACKNOWLEDGEMENTS
The authors would like to thank CAPES
(www.capes.gov.br), CNPq grant 475519/2012-
4, FAPEMIG Grant APQ-01589-11, FAPEMIG grant
APQ-2086/2011 and Federal University of Sergipe
for the financial support.
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