1,720,997 research outputs found
Deductive Verification of Parameterized Embedded Systems Modeled in SystemC
Major strengths of deductive verification include modular verification and support for functional properties and unbounded parameters. However, in embedded systems, crucial safety properties often depend on concurrent process interactions, events, and time. Such properties are global in nature and thus difficult to verify in a modular fashion. Furthermore, the execution and scheduling semantics of industrially used embedded system design languages such as SystemC are typically only informally defined. In this paper, we propose a deductive verification approach for embedded systems that are modeled with SystemC. Our main contribution is twofold: 1) We provide a formal encoding and an automated transformation of SystemC designs for verification with the VerCors deductive verifier. 2) We present a novel approach for invariant construction to abstractly capture global dependencies. Our encoding enables an automated formalization and deductive verification of parameterized SystemC designs, and the invariant construction enables local reasoning about global properties with comparatively low manual effort. We demonstrate the applicability of our approach on three parameterized case studies, including an automotive control system.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
AGNES:Abstraction-Guided Framework for Deep Neural Networks Security
Deep Neural Networks (DNNs) are becoming widespread, particularly in safety-critical areas. One prominent application is image recognition in autonomous driving, where the correct classification of objects, such as traffic signs, is essential for safe driving. Unfortunately, DNNs are prone to backdoors, meaning that they concentrate on attributes of the image that should be irrelevant for their correct classification. Backdoors are integrated into a DNN during training, either with malicious intent (such as a manipulated training process, because of which a yellow sticker always leads to a traffic sign being recognised as a stop sign) or unintentional (such as a rural background leading to any traffic sign being recognised as “animal crossing”, because of biased training data). In this paper, we introduce AGNES, a tool to detect backdoors in DNNs for image recognition. We discuss the principle approach on which AGNES is based. Afterwards, we show that our tool performs better than many state-of-the-art methods for multiple relevant case studies.</p
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Reactive Synthesis Beyond Realizability (Invited Tutorial)
The automatic synthesis of reactive systems from high-level specifications is a highly attractive and increasingly viable alternative to manual system design, with applications in a number of domains such as robotic motion planning, control of autonomous systems, and development of communication protocols. The idea of asking the system designer to describe what the system should do instead of how exactly it does it holds a great promise. However, providing the right formal specification of the desired behavior of a system is a challenging task in itself. In practice it often happens that the system designer provides a specification that is unrealizable, that is, there is no implementation that satisfies it. Such situations typically arise because the desired behavior represents a trade-off between multiple conflicting requirements, or because crucial assumptions about the environment in which the system will execute are missing. Addressing such scenarios necessitates a shift towards synthesis algorithms that utilize quantitative measures of system correctness. In this tutorial, I will discuss two recent advances in this research direction.
First, I will talk about the maximum realizability problem, where the input to the synthesis algorithm consists of a hard specification that must be satisfied by the synthesized system, and soft specifications which describe other desired, possibly prioritized properties, whose violation is acceptable. I will present a synthesis algorithm that maximizes a quantitative value associated with the soft specifications while guaranteeing the satisfaction of the hard specification. In the second half of the tutorial, I will present algorithms for synthesis in bounded environments, where a bound is associated with the sequences of input values produced by the environment. More concretely, these sequences consist of an initial prefix followed by a finite sequence repeated infinitely often, and satisfy the constraint that the sum of the lengths of the initial prefix and the loop does not exceed a given bound. I will also discuss the synthesis of approximate implementations from unrealizable specifications, which are guaranteed to satisfy the specification on at least a specified portion of the bounded-size input sequences. I will conclude by outlining some of the open avenues and challenges in quantitative synthesis from temporal logic specifications
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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