The TXL source transformation language

By James R. Cordy. Science of Computer Programming, 2006

407 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Hardware and Architecture, Software

View Paper: https://www.semanticscholar.org/paper/fc5952ba34b653b7028384228055341619ac9df9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Chanchal Kumar Roy
2. Jurgen J. Vinju
3. Paul Klint
4. Tijs van der Storm
5. James R. Cordy
6. Rainer Koschke

In Hardware and Architecture

1. Chanchal Kumar Roy
2. Jurgen J. Vinju
3. Tijs van der Storm
4. Paul Klint
5. James R. Cordy

In Software

1. Chanchal Kumar Roy
2. James R. Cordy
3. Rainer Koschke
4. Jurgen J. Vinju
5. Tijs van der Storm
6. Paul Klint
7. Miltiadis Allamanis
8. Charles Sutton

Citations in the corpus

• NICAD: Accurate Detection of Near-Miss Intentional Clones Using Flexible Pretty-Printing and Code Normalization (2008, methodology): “We exploit the benefits of TXL [9] to efficiently identify and extract potential syntactic clones with pretty-printing to eliminate formatting differences and noise.”
• Comparison and evaluation of code clone detection techniques and tools: A qualitative approach (2009, background): “While adapting to a new language, one at least needs to get a TXL [27] grammar for that language.”
• RASCAL: A Domain Specific Language for Source Code Analysis and Manipulation (2009, methodology): “For instance, ASF+SDF [18] relies on RSCRIPT [13] for querying and TXL [7] interfaces with databases or query tools.”