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Mining API mapping for language migration

https://doi.org/10.1145/1806799.1806831
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.4380111005openalex-snapshot
Experience with software conversion
inferredcites →https://doi.org/10.1007/978-3-642-00593-0_25openalex-snapshot
Mining API Error-Handling Specifications from Source Code
inferredcites →https://doi.org/10.1007/978-3-642-03013-0_15openalex-snapshot
MAPO: Mining and Recommending API Usage Patterns
inferredcites →https://doi.org/10.1007/978-81-322-3766-2_8openalex-snapshot
Application Programming Interface (API)
inferredcites →https://doi.org/10.1016/j.infsof.2004.10.002openalex-snapshot
A lightweight approach for migrating web frameworks
inferredcites →https://doi.org/10.1109/32.473219openalex-snapshot
SPiCE: a system for translating Smalltalk programs into a C environment
inferredcites →https://doi.org/10.1109/32.7629openalex-snapshot
Program translation via abstraction and reimplementation
inferredcites →https://doi.org/10.1109/aiccsa.2006.205215openalex-snapshot
An Experiment in Automatic Conversion of Legacy Java Programs to C#
inferredcites →https://doi.org/10.1109/ase.2009.94openalex-snapshot
Inferring Resource Specifications from Natural Language API Documentation
inferredcites →https://doi.org/10.1109/csmr.2003.1192409openalex-snapshot
Automated Cobol to Java recycling
inferredcites →https://doi.org/10.1109/icse.2009.5070548openalex-snapshot
Mining exception-handling rules as sequence association rules
inferredcites →https://doi.org/10.1109/tse.2007.70747openalex-snapshot
API-Evolution Support with Diff-CatchUp
inferredcites →https://doi.org/10.1145/1062455.1062512openalex-snapshot
CatchUp!
inferredcites →https://doi.org/10.1145/1094811.1094832openalex-snapshot
Refactoring support for class library migration
inferredcites →https://doi.org/10.1145/1321631.1321663openalex-snapshot
Parseweb
inferredcites →https://doi.org/10.1145/1572272.1572283openalex-snapshot
Automatic mining of functionally equivalent code fragments via random testing
inferredcites →https://doi.org/10.1145/1595696.1595725openalex-snapshot
MSeqGen
inferredcites →https://doi.org/10.1145/302405.302629openalex-snapshot
Identifying objects using cluster and concept analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Rule-directed code clone synchronization
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Meditor: Inference and Application of API Migration Edits
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Statistical Migration of API Usages
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An Empirical Study on Real Bug Fixes
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Graph-Based Statistical Language Model for Code
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Exploring API Embedding for API Usages and Applications
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Graph-Based Mining of In-the-Wild, Fine-Grained, Semantic Code Change Patterns
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Type Migration in Ultra-Large-Scale Codebases
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Using Topic Model to Suggest Fine-Grained Source Code Changes
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Discovering likely mappings between APIs using text mining
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M 3
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Analyzing repetitiveness in big code to support software maintenance and evolution
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Transforming Programs between APIs with Many-to-Many Mappings
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Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks
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SAR: Learning Cross-Language API Mappings with Little Knowledge
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M3: Semantic API Migrations
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Migrating Client Code without Change Examples
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Using Document Similarity Methods to create Parallel Datasets for Code Translation
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Searching for Replacement Classes
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Inferring likely mappings between APIs
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An empirical study on real bug fixes
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Assessing and improving rules to support software evolution
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Towards high-quality Android applications development with Kotlin
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Similarity detection techniques for mobile platform artifacts
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