Archive 12 API mapping research papers (related work for PhD)
Reference papers on API mapping, migration, and evolution collected during PhD research (2018). Topics include: API usage adaptation (LibSync), statistical API mapping mining (StaMiner, MAM), API mapping via vector representations (Word2Vec), text mining for API mappings (TMAP), library migration graphs, framework evolution (AURA), class library migration refactoring, and API specification inference (Doc2Spec).
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documents/academic/paper/api_mappings/wu_10_aura.md
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documents/academic/paper/api_mappings/wu_10_aura.md
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category: academic
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type: academic
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person: Yanxin Lu
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date: 2010
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source: wu_10_aura.pdf
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# AURA: A Hybrid Approach to Identify Framework Evolution
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Wei Wu, Yann-Gael Gueheneuc (Ecole Polytechnique de Montreal), Giuliano Antoniol (Ecole Polytechnique de Montreal), Miryung Kim (UT Austin)
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ICSE 2010
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Software frameworks and libraries are indispensable to today's software systems. As they evolve, it is often time-consuming for developers to keep their code up-to-date. The authors introduce AURA, a novel hybrid approach that combines call dependency and text similarity analyses to overcome the limitations of existing approaches that cannot automatically handle one-replaced-by-many or many-replaced-by-one change rules. AURA was implemented in a Java system and compared with three previous approaches. On average, the recall of AURA is 53.07% higher while its precision is similar (e.g., 0.10% lower).
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