Jalangi: a selective record-replay and dynamic analysis framework for JavaScript
By Koushik Sen, Swaroop Kalasapur, Tasneem G. Brutch, Simon J. Gibbs. ESEC/FSE 2013, 2013
321 citations recorded by the source corpus.
Subfields: Information Systems, Software, Signal Processing
View Paper: https://www.semanticscholar.org/paper/72df5ef4cb7403a1ab5ab817f1ecbe16d83cd23b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Miltiadis Allamanis
- Earl T. Barr
- Charles Sutton
- Vincent J. Hellendoorn
- Christian Bird
- Erik Krogh Kristensen
- Michael Pradel
- Premkumar T. Devanbu
In Software
- Miltiadis Allamanis
- Earl T. Barr
- Vincent J. Hellendoorn
- Erik Krogh Kristensen
- Christian Bird
- Charles Sutton
- Anders Møller
- Michael Pradel
In Signal Processing
- Earl T. Barr
- Miltiadis Allamanis
- Vincent J. Hellendoorn
- Anders Møller
- Christian Bird
- Erik Krogh Kristensen
- Prem Devanbu
- Kevin Jesse
Citations in the corpus
- Deep learning type inference (2018, methodology): “It is often accomplished through dynamic analysis (such as Jalangi [29]), as static type inference for these languages is”
- Type test scripts for TypeScript testing (2017, methodology): “2010], Jalangi [Sen et al. 2013], or SymJS [Li et al.”