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SCIENCE CHINA Information Sciences, Volume 61, Issue 5: 050108(2018) https://doi.org/10.1007/s11432-017-9416-1

Mining API usage change rules for software framework evolution

Ping YU1,2,*, Fei YANG1,2, Chun CAO1,2, Hao HU1,2, Xiaoxing MA1,2
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  • ReceivedNov 29, 2017
  • AcceptedApr 8, 2018
  • PublishedApr 18, 2018

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported in part by National Key RD Program of China (Grant No. 2017YFB1001801), National Basic Research Program of China (973 Program) (Grant No. 2015CB352202), National Natural Science Foundation of China (Grant Nos. 61690204, 61472177), and Collaborative Innovation Center of Novel Software Technology and Industrialization.


References

[1] Wu W, Guéhéneuc Y, Antoniol G, et al. AURA: a hybrid approach to identify framework evolution. In: Proceedings of the 32nd International Conference on Software Engineering, Cape Town, 2010. Google Scholar

[2] Meng S C, Wang X Y, Zhang L, et al. A history-based matching approach to identification of framework evolution. In: Proceedings of the 34th International Conference on Software Engineering, Zurich, 2012. Google Scholar

[3] Nguyen H A, Nguyen T T, Wilson G. A graph-based approach to API usage adaptation. ACM SIGPLAN Notice, 2010, 45: 302-321 CrossRef Google Scholar

[4] Kim M, Notkin D, Grossman D. Identifying and summarizing systematic code changes via rule inference. IEEE Trans Softw Eng, 2013, 39: 45-62 CrossRef Google Scholar

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