1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.SE2021★ 1 cited
Improving Dynamic Code Analysis by Code Abstraction
Isabella Mastroeni, Vincenzo Arceri
In this paper, our aim is to propose a model for code abstraction, based on abstract interpretation, allowing us to improve the precision of a recently proposed static analysis by…
cs.PL2018
Static Program Analysis for String Manipulation Languages
Vincenzo Arceri, Isabella Mastroeni
In recent years, dynamic languages, such as JavaScript or Python, have been increasingly used in a wide range of fields and applications. Their tricky and misunderstood behaviors p…
cs.PL2017
SEA: String Executability Analysis by Abstract Interpretation
Vincenzo Arceri, Mila Dalla Preda, Roberto Giacobazzi +1
Dynamic languages often employ reflection primitives to turn dynamically generated text into executable code at run-time. These features make standard static analysis extremely har…