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Andrea Calvagna

Researcher at University of Catania

Publications -  35
Citations -  512

Andrea Calvagna is an academic researcher from University of Catania. The author has contributed to research in topics: Test suite & Tuple. The author has an hindex of 11, co-authored 34 publications receiving 490 citations.

Papers
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Proceedings ArticleDOI

A user-centric analysis of vertical handovers

TL;DR: A model has been realized and simulations have been run in order to evaluate the impact of the vertical handover and its frequency on a set of typical user's network applications/services and it is believed this approach reflects the optimal settings from the user's point of view with regard to his running services and applications.
Book ChapterDOI

A logic-based approach to combinatorial testing with constraints

TL;DR: A new heuristic strategy developed for the construction of pairwise covering test suites is presented, featuring a new approach to support expressive constraining over the input domain, and allows the inclusion or exclusion of ad-hoc combinations of parameter bindings to let the user customize the test suite outcome.
Proceedings ArticleDOI

Expeerience: a JXTA middleware for mobile ad-hoc networks

TL;DR: The first issue addressed in this work is the integration of some code mobility support in the developed middleware to allow the distribution and execution of services on peers that originally do not own the service code.
Proceedings ArticleDOI

IPO-s: Incremental Generation of Combinatorial Interaction Test Data Based on Symmetries of Covering Arrays

TL;DR: A new parameter-based heuristic algorithm for the construction of pairwise covering test suites is presented, based on a symmetry property of covering arrays and it is called IPOS; time and space complexity of IPOS is discussed in comparison especially with the only other parameter- based approach existing in literature.
Journal ArticleDOI

A Formal Logic Approach to Constrained Combinatorial Testing

TL;DR: In this approach, test predicates are used to formalize combinatorial testing as a logical problem, and an external formal logic tool is applied to solve it, effectively handled by the same tool.