We are glad to announce that our paper on “Skyline computation over multiple points and dimensions” has just been published in the Springer-Nature journal “Innovation in Systems and Software Engineering”. You can download the paper here (https://link.springer.com/epdf/10.1007/s11334-020-00376-1?sharing_token=wAaaIvoIj97li[…]F7hBp-aIl5ocv3DN-kK59QyOdfyDepawMBdtFXdTEU0dHpkUDMzWLI20Q%3D).
Just published in International Journal on Software Tools for Technology Transfer: Pietro Ferrara, Amit Kr Mandal, Agostino Cortesi, Fausto Spoto: “Static analysis for discovering IoT vulnerabilities”.In this paper we discuss how IoT vulnerabilities can actually be exploited, and in which cases static analysis can help in preventing them. We present an extension of an industrial analyzer (Julia) that already covers five out of the top seven vulnerabilities of OWASP Top
We are glad to announce that our paper on Tarsis, a novel domain for string analysis, has been accepted at VMCAI 2021! You can download a preprint version of the paper here.
The paper “Semantic-driven Watermarking of Relational Textual Databases” by Maikel Lázaro Pérez Gort, Martina Olliaro, Agostino Cortesi and Claudia Feregrino Uribe has been accepted for publication by the Expert Systems with Applications Journal! More information here.
We are extremely happy to announce that a paper on the application of static analysis to the certification of decision trees has been accepted at ESORICS 2020! This paper is the first result of a new collaboration between Pietro Ferrara, Stefano Calzavara and Claudio Lucchese (University of Venice). Stay tuned for further developments!
We are glad to announce that the paper “SARL: OO Framework Specification for Static Analysis” (co-authored by Pietro Ferrara Luca Negrini) has been accepted for publication at VSTTE 2020! This paper introduces a novel language aimed at specifying some components of object oriented frameworks (such as Java Spring and Hibernate, and .NET Windows Forms and ASP.NET) in order to improve the precision and soundness of static analysis applied to program