scispace - formally typeset
M

María del Mar Prados Gallardo

Researcher at University of Málaga

Publications -  74
Citations -  696

María del Mar Prados Gallardo is an academic researcher from University of Málaga. The author has contributed to research in topics: Model checking & Software system. The author has an hindex of 14, co-authored 71 publications receiving 661 citations. Previous affiliations of María del Mar Prados Gallardo include University of Seville.

Papers
More filters
Journal ArticleDOI

A generalized semantics of PROMELA for abstract model checking

TL;DR: A generalized operational semantics of the modelling language promela is presented that provides the theoretical basis to introduce this promising method in the model checker SPIN.
Journal ArticleDOI

Verification support for ARINC-653-based avionics software

TL;DR: A method to automatically extract PROMELA models from the C source code and a tool that can verify realistic applications that has been used as a novel testing method to ensure the correctness of the APEX environment.
Journal ArticleDOI

A semantic framework for the abstract model checking of tccp programs

TL;DR: In this article, an abstract methodology based on over-and under-approximation of tccp models is presented to model the suspension behavior of a TCCP program, which mitigates the state explosion problem common to traditional model-checking algorithms.
Proceedings ArticleDOI

Model checking software with well-defined APIs: the socket case

TL;DR: This paper gives a method for using the tool SPIN to verify distributed software systems that use the API Socket and the network protocol stack TCPIP for communications.
Journal ArticleDOI

A Tool for Abstraction in Model Checking

TL;DR: In this paper, the authors present a tool for the integration of several abstraction approaches (for models and formulas) into the well known model checker Spin, in particular, αSpin integrates two dual approaches, the classic abstraction method, based on under-approximating properties, and an alternative approach, proposed by the authors, where abstraction provides an over-matching of the formulas.