◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Isabella Mastroeni

4 papers hereh-index 16980 citations86 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.PL2
  • cs.LO1
  • cs.SE1

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedImproving Dynamic Code Analysis by Code Abstraction

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 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…

cs.LO2016

Abstract Program Slicing: an Abstract Interpretation-based approach to Program Slicing

Isabella Mastroeni, Damiano Zanardini

In the present paper we formally define the notion of abstract program slicing, a general form of program slicing where properties of data are considered instead of their exact val…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.