Termination analysis of programs with complex control-flow

Tesis de la Universidad Complutense de Madrid, Facultad de Informática, leída el 22-01-2021El problema de la terminación de un programa es fundamental en la informática y ha sido objeto de estudio de numerosas investigaciones. La técnica mejor conocida, y más frecuentemente utilizada, para demostrar terminación es la del uso de funciones de clasificación (ranking functions). Estas funciones relacionan los estados del programa con los elementos de un conjunto ordenado bien-fundado, tal que el valor desciende en estado consecutivos del programa. Como descender en un conjunto ordenado bien-fundado no se puede hacer de manera infinita se demuestra la terminación del programa. Es esta tesis, abordamos el problema de terminación para Sistemas de Transiciones (Transition Systems) con valores numéricos, que son una representación de programas muy comúnmente utilizada en los análisis de programas. Los Sistemas de Transiciones están definidos por Grafos de Control de Flujo (Control-Flow Graph) donde las aristas están anotadas con fórmulas describiendo las transiciones que hay entre los nodos correspondientes...The problem of the program termination is fundamental in Computer Science and has been the subject of voluminous research. The best known, and often used technique for proving termination is that of ranking functions. These are functions that map the program states to the elements of a well-founded ordered set, such that the value descends on consecutive program states. Since descent in a well-founded set cannot be infinite, this proves terminatio. In this thesis, we address the termination problem for Transition Systems with numerical variables, which is a very common program representation that is often used in program analysis. They are defined by Control-Flow Graphs where edges are annotated with formulas describing transitions between corresponding nodes...Fac. de InformáticaTRUEunpu

Trajectories entropy in dynamical graphs with memory

In this paper we investigate the application of non-local graph entropy to evolving and dynamical graphs. The measure is based upon the notion of Markov diffusion on a graph, and relies on the entropy applied to trajectories originating at a specific node. In particular, we study the model of reinforcement-decay graph dynamics, which leads to scale free graphs. We find that the node entropy characterizes the structure of the network in the two parameter phase-space describing the dynamical evolution of the weighted graph. We then apply an adapted version of the entropy measure to purely memristive circuits. We provide evidence that meanwhile in the case of DC voltage the entropy based on the forward probability is enough to characterize the graph properties, in the case of AC voltage generators one needs to consider both forward and backward based transition probabilities. We provide also evidence that the entropy highlights the self-organizing properties of memristive circuits, which re-organizes itself to satisfy the symmetries of the underlying graph.Comment: 15 pages one column, 10 figures; new analysis and memristor models added. Text improve

Computer Aided Verification

The open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019. The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organized in the following topical sections: Part I: automata and timed systems; security and hyperproperties; synthesis; model checking; cyber-physical systems and machine learning; probabilistic systems, runtime techniques; dynamical, hybrid, and reactive systems; Part II: logics, decision procedures; and solvers; numerical programs; verification; distributed systems and networks; verification and invariants; and concurrency

Computer Aided Verification

This open access two-volume set LNCS 10980 and 10981 constitutes the refereed proceedings of the 30th International Conference on Computer Aided Verification, CAV 2018, held in Oxford, UK, in July 2018. The 52 full and 13 tool papers presented together with 3 invited papers and 2 tutorials were carefully reviewed and selected from 215 submissions. The papers cover a wide range of topics and techniques, from algorithmic and logical foundations of verification to practical applications in distributed, networked, cyber-physical, and autonomous systems. They are organized in topical sections on model checking, program analysis using polyhedra, synthesis, learning, runtime verification, hybrid and timed systems, tools, probabilistic systems, static analysis, theory and security, SAT, SMT and decisions procedures, concurrency, and CPS, hardware, industrial applications