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International Conference on Secure System Integration and Reliability Improvement, SSIRI

作者： Changzhi Zhao Wei Dong Martin Leucker Zhichang Qi Department of Computer Science National University of Defense Technology Changsha China Institute of Software Technology and Programming Languages University of Lübeck Germany

Access control is a vital security mechanism in today's operating systems, and the security policies dictating the security relevant behaviors is lengthy and complex, for example in Security-Enhanced Linux (SELinux). It is extremely difficult to verify the consistency between the security policies and the security goals desired by applications. In this paper, we present how to predict whether the information flow security goal is violated or not during runtime, how to generate the corresponding control actions on-line when divergence is detected and how to apply these actions in time based on software active monitoring technique. The symbolic security information flow model of SElinux is generated from a formalization of the access control mechanism which can be used to generate the N-step ahead projection of the future behavior. Information flow security goals are expressed in linear temporal logic (LTL) which provides clear description of the objectives desired by applications. Anticipatory monitor is generated from LTL formula automatically. We consider an on-line scheme where after the occurrence of an event, the next control action is determined on the basis of the N-step ahead projection of the future behavior. This procedure is repeated after the occurrence of next security relevant event. Thus, a closed-loop system is generated that all behavior sequences will satisfy the security goals.

关键词： Context Monitoring Semantics Access control Cost accounting Syntactics

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SAC: Off-the-shelf support for data-parallelism on multicores

SAC: Off-the-shelf support for data-parallelism on multicore...

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DAMP 2007: Workshop on Declarative Aspects of Multicore programming

作者： Grelck, Clemens Scholz, Sven-Bodo University of Lübeck Institute of Software Technology and Programming Languages Ratzeburger Allee 160 23538 Lübeck Germany University of Hertfordshire Department of Computer Science College Lane Hatfield AL10 9AB United Kingdom University of Hertfordshire United Kingdom

ISBN: (纸本)1595936904

The advent of multicore processors has raised new demand for harnessing concurrency in the software mass market. We summarise our previous work on the data parallel, functional array processing language SaC. Its compiler technology is geared towards highly runtime-efficient support for shared memory multiprocessors and, thus, is readily applicable to today's off-the-shelf multicore systems. Copyright 2007 ACM.

关键词： Automatic programming

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A proposal of an example and experiments repository to foster industrial adoption of formal methods 8th

A proposal of an example and experiments repository to foste...

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8th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2018

作者： Schlick, Rupert Felderer, Michael Majzik, Istvan Nardone, Roberto Raschke, Alexander Snook, Colin Vittorini, Valeria Center for Digital Safety and Security AIT Austrian Institute of Technology GmbH Vienna Austria Department of Computer Science University of Innsbruck Innsbruck Austria Department of Software Engineering Blekinge Institute of Technology Karlskrona Sweden Department of Measurement and Information Systems Budapest University of Technology and Economics Budapest Hungary University of Naples Federico II Naples Italy Institute of Software Engineering and Programming Languages Ulm University Ulm Germany Electronics and Computer Science University of Southampton Southampton United Kingdom

ISBN: (纸本)9783030034269

Formal methods (in a broad sense) have been around almost since the beginning of computer science. Nonetheless, there is a perception in the formal methods community that take-up by industry is low considering the potential benefits. We take a look at possible reasons and give candidate explanations for this effect. To address the issue, we propose a repository of industry-relevant example problems with an accompanying open data storage for experiment results in order to document, disseminate and compare exemplary solutions from formal model based methods. This would allow potential users from industry to better understand the available solutions and to more easily select and adopt a formal method that fits their needs. At the same time, it would foster the adoption of open data and good scientific practice in this research field. © Springer Nature Switzerland AG 2018.

关键词： Formal methods

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Evolution of software in automated production systems: challenges and research directions

Evolution of software in automated production systems: chall...

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software Engineering-Konferenz, SE 2016 - software Engineering Conference, SE 2016

作者： Vogel-Heuser, Birgit Fay, Alexander Schaefer, Ina Tichy, Matthias Institute of Automation and Information Systems Technische Universität München Boltzmannstr. 15 Garching near Munich85748 Germany Institute of Automation Technology Helmut Schmidt University Holstenhofweg 85 Hamburg22043 Germany Institute of Software Engineering and Automotive Informatics Technische Universität Braunschweig Mühlenpfordtstr. 23 Braunschweig38106 Germany Institute of Software Engineering and Programming Languages Universität Ulm Ulm89069 Germany

ISBN: (纸本)9783885796466

Coping with evolution in automated production systems implies cross-disciplinary challenges along the system's life-cycle for variant-rich systems of high complexity. We provide an interdisciplinary survey on challenges and research directions in the evolution of automated production systems. After an initial discussion about the nature of automated production systems and their specific development process, we sketch in this extended abstract the challenges associated with evolution in the different development phases and a couple of cross-cutting areas.

关键词： Life cycle

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Autonomic and Trusted Computing 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Juan González Nieto Wolfgang Reif Guojun Wang Jadwiga Indulska

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A Model-Based Approach to Automotive Feature Development for Updates and Upgrades

A Model-Based Approach to Automotive Feature Development for...

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2023 IEEE International Conference on Service-Oriented System Engineering (SOSE)

作者： Marc Schindewolf Jan Willem Wittler Thomas Kühn Daniel Grimm Eric Sax Institut für Technik der Informationsverarbeitung Karlsruhe Institute of Technology Karlsruhe Germany Dependability of Software-intensive Systems Karlsruhe Institute of Technology Karlsruhe Germany Software Engineering and Programming Languages Martin Luther University Halle-Wittenberg Halle-Wittenberg Germany

The automotive industry faces challenges due to the increasing demand for customization and individualization by consumers. With a wide range of equipment levels and feature options, it has become impossible to test all possible configurations for a single vehicle during development and especially for vehicles already in service. As a basis for solving these challenges, integrated approaches for the development of upgradeable vehicles are required. In this context, future upgrade options should be considered and planned already in the design stage to enable sustainable business models for next vehicle generations. This paper proposes a refined variability model that combines two existing approaches to address the challenges faced by the industry. The same model can perform buildability or upgradeability checks and dynamic allocation optimization. The model is evaluated qualitatively by three exemplary use cases.

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FLEXIBLE CORRECT-BY-CONSTRUCTION programming

arXiv

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arXiv 2022年

作者： Runge, Tobias Bordis, Tabea Potanin, Alex Thüm, Thomas Schaefer, Ina Karlsruhe Institute of Technology Germany Institute of Software Engineering and Automotive Informatics TU Braunschweig Germany School for Data-Science and Computational Thinking Stellenbosch University South Africa School of Computing Australian National University Australia Institute of Software Engineering and Programming Languages University of Ulm Germany

Correctness-by-Construction (CbC) is an incremental program construction process to construct functionally correct programs. The programs are constructed stepwise along with a specification that is inherently guaranteed to be satisfied. CbC is complex to use without specialized tool support, since it needs a set of predefined refinement rules of fixed granularity which are additional rules on top of the programming language. Each refinement rule introduces a specific programming statement and developers cannot depart from these rules to construct programs. CbC allows to develop software in a structured and incremental way to ensure correctness, but the limited flexibility is a disadvantage of CbC. In this work, we compare classic CbC with CbC-Block and TraitCbC. Both approaches CbC-Block and TraitCbC, are related to CbC, but they have new language constructs that enable a more flexible software construction approach. We provide for both approaches a programming guideline, which similar to CbC, leads to well-structured programs. CbC-Block extends CbC by adding a refinement rule to insert any block of statements. Therefore, we introduce CbC-Block as an extension of CbC. TraitCbC implements correctness-by-construction on the basis of traits with specified methods. We formally introduce TraitCbC and prove soundness of the construction strategy. All three development approaches are qualitatively compared regarding their programming constructs, tool support, and usability to assess which is best suited for certain tasks and developers. © 2022, CC BY.

关键词： Formal verification

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B2A, A Straight-Through Approach from Basics to Advanced Level: Case Study for Python Course 11

B2A, A Straight-Through Approach from Basics to Advanced Lev...

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11th Workshop on software Quality Analysis, Monitoring, Improvement, and Applications, SQAMIA 2024

作者： Shazmeen, Abbasi Dakić, Pavle Zoltan, Alwahab Dhulfiqar Department of Programming Languages and Compilers Faculty of Informatics Eötvös Loránd University 1/C Pázmány Péter st. BudapestH-1117 Hungary Faculty of Informatics and Computing Singidunum University Danijelova 32 Belgrade Serbia Institute of Informatics Information Systems and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology in Bratislava Ilkovičova 2 Bratislava842 16 Slovakia

In this study, we present a straightforward teaching strategy for teaching the Python programming language. Our method emphasizes a clear progression from fundamental to sophisticated concepts. Beginning with a thorough explanation of core Python ideas, we show a beginner-level script that dissects each line of code and displays the results. One distinguishing feature of our system is that students use ChatGPT to optimize code, which encourages them to improve the core program with fewer lines. After getting the updated solutions, students carefully compare the original and optimized programs to discover improvements and potential flaws. This study underlines the effectiveness of the Straight-Through Approach, which focuses on improving Python understanding while also developing critical thinking and code optimization skills. Our findings show that this strategy is a simple and effective way for teachers to assist students in growing from basic to advanced Python abilities, resulting in a dynamic and successful learning environment. The proposed technique will teach students how to use AI-driven modules correctly, such as ChatGPT. © 2024 Copyright for this paper by its authors.

关键词： Python

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Uvl: Feature Modelling with the Universal Variability Language

SSRN

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SSRN 2024年

作者： Benavides, David Sundermann, Chico Feichtinger, Kevin Galindo, José A. Rabiser, Rick Thüm, Thomas Department of Computer Languages and Systems Universidad de Sevilla Av. Reina Mercedes Seville41012 Spain Institute of Software Engineering and Programming Languages University of Ulm Albert-Einstein-Allee 11 Ulm89069 Germany CRC 1608 KASTEL – Dependability of Software-intensive Systems Karlsruhe Institute of Technology Am Fasanengarten 5 Karlsruhe76131 Germany Christian Doppler Laboratory VaSiCS LIT CPS Lab Johannes Kepler University Linz Altenberger Straße 69 Linz4040 Austria

Feature modelling is a cornerstone of software product line engineering, providing a means to represent software variability through features and their relationships. Since its inception in 1990, feature modelling has evolved through various extensions, and after three decades of development, there is a growing consensus on the need for a standardised feature modelling language. Despite multiple endeavours to standardise variability modelling and the creation of various textual languages, researchers and practitioners continue to use their own approaches, impeding effective model sharing. In 2018, a collaborative initiative was launched by a group of researchers to develop a novel textual language for representing feature models. This paper introduces the outcome of this effort: the Universal Variability Language (\UVL), which is designed to be human-readable and serves as a pivot language for diverse software engineering tools. The development of \UVL drew upon community feedback and leveraged established literature in the field of variability modelling. The language is structured into three levels -Boolean, Arithmetic, and Type- and allows for language extensions to introduce additional constructs enhancing its expressiveness. \UVL is integrated into various existing software tools, such as FeatureIDE and FLAMA, and is maintained by a consortium of institutions. © 2024, The Authors. All rights reserved.

关键词： Modeling languages

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CLEER - AN AI-SYSTEM DEVELOPED TO ASSIST EQUIPMENT ARRANGEMENTS ON WARSHIPS

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NAVAL ENGINEERS JOURNAL 1989年第3期101卷 127-137页

作者： ZHOU, HH SILVERMAN, BG SIMKOL, J Dr. H. Harry Zhou:is a research professor at the Institute for Artificial Intelligence of The George Washington University. Dr. Zhou received his master's degree and Ph.D. in computer science from Vanderbilt University in 1984 and 1987 respectively. He did his dissertation in the fields of artificial intelligence analogical reasoning and machine learning. His research interests include: classifier systems genetic algorithms learning by analogy inductive learning adaptive expert systems automated knowledge acquisition and adaption. He is also interested in data base design programming languages mental modeling and software engineering. Dr. Barry G. Silverman:is director of the Institute for Artificial Intelligence and a professor at the Engineering Administration Department of The George Washington University. He is also president of IntelliTek Inc. an AI consulting firm. Dr. Silverman received the B.S.E. M.S.E. and Ph.D. degrees from the University of Pennsylvania. He has been a principal developer of four generic AI products as well as eight AI applications. Since 1979 he has written over 100 papers and reports on these AI efforts. Joel Simkol:is a research scientist currently engaged in designing expert system architectures to support electronic warfare vulnerability analyses threat assessments shipboard topside antenna arrangements and C3countermeasures employment. Mr. Simkol's work in applying expert systems technology to electromagnetic interference and to spectrum management has generated increased interest and participation from all branches of government agencies.

This paper describes a modularized AI system being built to help improve electromagnetic compatibility (EMC) among shipboard topside equipment and their associated systems. CLEER is intended to act as an easy to use integrator of existing expert knowledge and pre-existing data bases and large scale analytical models. Due to these interfaces; to the need for portability of the software; and to artificial intelligence related design requirements (such as the need for spatial reasoning, expert data base management, model base management, track-based reasoning, and analogical (similar ship) reasoning) it was realized that traditional expert system shells would be inappropriate, although relatively off-the-shelf AI technology could be incorporated. In the same vein, the rapid prototyping approach to expert system design and knowledge engineering was not pursued in favor of a rigorous systems engineering methodology. The critical design decisions affecting CLEER's development are summarized in this paper along with lessons learned to date all in terms of “how,” “why,” and “when” specific features are being developed.

关键词： Artificial Intelligence

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