scholarly journals Formal Analysis of the Startup Delay of SOME/IP Service Discovery

2015 ◽  
Author(s):  
Jan R. Seyler ◽  
Thilo Streichert ◽  
Michael Glaβ ◽  
Nicolas Navet ◽  
Jürgen Teich
Keyword(s):  
Service Discovery ◽  
Formal Analysis ◽  
Startup Delay

A formal analysis of entailment

1960 ◽  
Author(s):  
Nuel D. Belnap
Keyword(s):  
Formal Analysis

Formal Verification of Control System Software

2019 ◽  
Author(s):  
Pierre-Loïc Garoche
Keyword(s):  
Control System ◽  
Formal Verification ◽  
Formal Analysis ◽  
Critical Systems ◽  
System Software ◽  
Unified Approach ◽  
Verification Methods ◽  
Autonomous Cars ◽  
Computer Scientists ◽  
Verification Techniques

The verification of control system software is critical to a host of technologies and industries, from aeronautics and medical technology to the cars we drive. The failure of controller software can cost people their lives. This book provides control engineers and computer scientists with an introduction to the formal techniques for analyzing and verifying this important class of software. Too often, control engineers are unaware of the issues surrounding the verification of software, while computer scientists tend to be unfamiliar with the specificities of controller software. The book provides a unified approach that is geared to graduate students in both fields, covering formal verification methods as well as the design and verification of controllers. It presents a wealth of new verification techniques for performing exhaustive analysis of controller software. These include new means to compute nonlinear invariants, the use of convex optimization tools, and methods for dealing with numerical imprecisions such as floating point computations occurring in the analyzed software. As the autonomy of critical systems continues to increase—as evidenced by autonomous cars, drones, and satellites and landers—the numerical functions in these systems are growing ever more advanced. The techniques presented here are essential to support the formal analysis of the controller software being used in these new and emerging technologies.

A Study on Different Web Service Discovery Approaches

2018 ◽  
Vol 6 (9) ◽  
pp. 311-314
Author(s):  
Rahul P. Mirajkar ◽  
Nikhil D. Karande ◽  
Surendra Yadav
Keyword(s):  
Web Service ◽  
Service Discovery ◽  
Web Service Discovery

Contributions of a Formal Analysis Metaprocess to Breakthrough Failure Analysis Results

2003 ◽  
Author(s):  
Steve Ferrier ◽  
Kevin D. Martin ◽  
Donald Schulte
Keyword(s):  
Failure Analysis ◽  
Formal Analysis ◽  
Photon Emission ◽  
Flow Analysis ◽  
Formal Structure ◽  
Ic Design ◽  
Analysis Process ◽  
Secondary Failure ◽  
Leakage Failure ◽  
Wafer Manufacturing

Abstract Application of a formal Failure Analysis metaprocess to a stubborn yield loss problem provided a framework that ultimately facilitated a solution. Absence of results from conventional failure analysis techniques such as PEM (Photon Emission Microscopy) and liquid crystal microthermography frustrated early attempts to analyze this low-level supply leakage failure mode. Subsequently, a reorganized analysis team attacked the problem using a specific toplevel metaprocess.(1,a) Using the metaprocess, analysts generated a specific unique step-by-step analysis process in real time. Along the way, this approach encouraged the creative identification of secondary failure effects that provided repeated breakthroughs in the analysis flow. Analysis proceeded steadily toward the failure cause in spite of its character as a three-way interaction among factors in the IC design, mask generation, and wafer manufacturing processes. The metaprocess also provided the formal structure that, at the conclusion of the analysis, permitted a one-sheet summary of the failure's cause-effect relationships and the analysis flow leading to discovery of the anomaly. As with every application of this metaprocess, the resulting analysis flow simply represented an effective version of good failure analysis. The formal and flexible codification of the analysis decision-making process, however, provided several specific benefits, not least of which was the ability to proceed with high confidence that the problem could and would be solved. This paper describes the application of the metaprocess, and also the key measurements and causeeffect relationships in the analysis.

Factores de éxito en las webs de contenidos audiovisuales. Análisis cualitativo comparado

2021 ◽  
Author(s):  
Susana Fernández-Lores ◽  
Gema Martínez-Navarro ◽  
Diana Gavilán
Keyword(s):  
Success Factors ◽  
Formal Analysis ◽  
Qualitative Comparative Analysis ◽  
Point Of View ◽  
Key Factors ◽  
Ticket Sales ◽  
Critical Success ◽  
Analysis Technique ◽  
Evolution Of Technology ◽  
Content Recommendation

The evolution of technology and the digital empowerment of society have led to the proliferation of Audiovisual Content Webs (ACWs) where users can share information and experiences, along with other commercial resources. ACWs have led to significant changes in the way users can select and access audiovisual content. The design of these websites combines various features, including a user community, streamed content, ticket sales, and recommendations, among others. Each ACW has a specific profile with respect to the mentioned variables. The aim of this study is to identify the critical success factors for a ACW, i.e., which features and the form they should take to attract followers, thus increasing the capacity to prescribe and broadcast content. Using qualitative comparative analysis (QCA), a formal analysis technique that allows the identification of combinations that produce a certain result, a sample of the 12 most representative cinema websites in Spain is analyzed. The results indicate that the incorporation of content recommendation systems and the connection with streaming platforms through which the content can be accessed are key factors in the success of these ACWs. This work contributes academically to the knowledge and explanation of audience behavior in the new audiovisual scenario. From a professional point of view, relevant design suggestions are offered to platform creators. Finally, the limitations of this work are described, and future lines of research are considered. Resumen La evolución de la tecnología y el empoderamiento digital de la sociedad ha dado lugar a la proliferación de webs de contenidos audiovisuales (WCA) donde los usuarios comparten información y experiencias, junto a otros recursos comerciales. Las WCA han provocado cambios significativos en la forma en la que los usuarios pueden seleccionar y acceder a los contenidos audiovisuales. En su diseño, estas webs combinan varias prestaciones: comunidad de usuarios, contenidos en streaming, venta de entradas o recomendaciones, entre otros. Cada WCA presenta un perfil específico respecto a las variables descritas. El objetivo del presente trabajo es identificar los factores críticos de éxito de una WCA, es decir las prestaciones y la forma que deben adoptar para captar seguidores, aumentando con ello capacidad de prescripción y difusión de contenidos. Mediante el análisis cualitativo comparado (QCA), técnica formal de análisis que permite la identificación de combinaciones que producen un determinado resultado, se analiza una muestra de las 12 webs de cine más representativas en España. Los resultados indican que la incorporación de sistemas de recomendación de contenidos y la conexión con plataformas en streaming desde las que poder acceder a los contenidos son factores claves del éxito. El trabajo contribuye académicamente al conocimiento y la explicación de la conducta de la audiencia en el nuevo escenario audiovisual. Desde el punto de vista profesional se ofrecen sugerencias relevantes de diseño para los creadores de plataformas. Por último, se describen las limitaciones del trabajo y se plantean futuras líneas de investigación.

Two Formal Analysis of Attack Graphs

2010 ◽  
Vol 21 (4) ◽  
pp. 838-848 ◽  
Author(s):  
Feng CHEN ◽  
Yi ZHANG ◽  
Jin-Shu SU ◽  
Wen-Bao HAN
Keyword(s):  
Formal Analysis ◽  
Attack Graphs
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