作者：
Chiodo, E.Menniti, D.Testa, A.Picardi, C.Elio Chiodo (1959) received the degree in Electronics Engineering in 1985
and the Ph.D. degree in Computational Statistics both from the University of Naplefltaly. He is a Researcher at the Department of Electrical Engineering of the University of Naples and a member of the Italian Statistical Society. His areas of interest include probabilistic methods applied to electric power systems analysis. (University of Naples Fedrrico 11. Electrical Engineering Dept.via Claudio 21 1-80125 Naplefltaly T +3981/7683226 Fax+3981/2396897) Daniele Menniti (1958) received the degree in Electrical Engineering from the University of Calabria. Cosenzataly and the Ph.D. degree in Electrical Engineering from the University of NapleslItaly
in 1984 and 1989 respectively. He is a researcher at the Electronic. Computer and Systems Science Department of the University of Calabria. Italy. Hiscurrent research interests concern electric power system analysis real-time control and automation. (University of Calabria Electronic Computer and Systems Science Dep. Arcavacataji Rende (CS). 1-87036 CosenzdItaly T +39984/494707. Fax +39984/4947 13) Alfredo Testa (1950) received the degree in Electrical Engineering from the University of Naples/Italy
in 1975. He is an Associate Professor in Electrical Power Systems at the Department of Electrical Engineering of the University of Naples. He is engaged in researches on electrical power systems reliability and harmonic analysis. (University of Naples Federico 11. Electrical Engineering Dep. via Claudio '2 1 1-80 I25 NapleslItaly T + 39 8 I/7 68 3'2 11. Fax+3981/2396897) Ciro Picardi (1949) received the degree in Electronics Engineering from the University of Naples/Italy
in 1975. He is currently Associate Professor in Process Control at the Department of Electronic Computer and System Science of the University of Calabria. Italy. His current research interests are in the area of electrical drives robotics neural networks and fuzzy control. (University of Calabria Electronic. Compu
An artificial‐neural‐network (ANN) application for steady‐state security evaluation of electrical power systems is presented. Such application is based upon a combined use of a multilayer back‐propagation neural n...
Since the mid-1970s, and with the development of each new programming paradigm there has been an increasing interest in exceptions and the benefits of exception handling. With the move towards programming for ever mor...
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Since the mid-1970s, and with the development of each new programming paradigm there has been an increasing interest in exceptions and the benefits of exception handling. With the move towards programming for ever more complex architectures, understanding basic facilities such as exception handling as an aid to improving program reliability, robustness and comprehensibility has become much more important. Interest has sparked the production of many papers both theoretical and practical, each giving a view of exceptions and exception handling from a different standpoint. In an effort to provide a means of classifying exception handling models which may be encountered, a taxonomy is presented in this paper. As the taxonomy is developed some of the concepts of exception handling are introduced and discussed. The taxonomy is applied to a number of exception handling models in some contemporary programming languages and some observations and conclusions offered.
In this paper we present some ideas on the functionality that should be incorporated into an object-oriented distributed system to support distributed and parallel programming. The work is based on practical experienc...
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In this paper we present some ideas on the functionality that should be incorporated into an object-oriented distributed system to support distributed and parallel programming. The work is based on practical experience in developing several substantial distributed and parallel applications on the Amadeus platform. Related work in the area is sketched.
The concept of anti-link is defined, and useful equivalence-preserving operations on propositional formulas based on anti-links are introduced. These operations eliminate a potentially large number of subsumed paths i...
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Two major challenges with requirement analysis in concurrent engineering are: (1) requirements from multiple members of a concurrent engineering team are often conflicting with each other;and (2) requirements are ofte...
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Two major challenges with requirement analysis in concurrent engineering are: (1) requirements from multiple members of a concurrent engineering team are often conflicting with each other;and (2) requirements are often imprecise in nature. Existing formal methods for requirement engineering are very limited in addressing these issues. More specifically, they have not fully explored the use of artificial intelligence technique for achieving effective trade-offs among conflicting imprecise requirements. This paper presents a comprehensive methodology for specifying imprecise requirements and for characterizing complex relationships among them to facilitate trade-off analysis. Imprecise requirements are represented by the canonical form in test-score semantics in fuzzy logic. A formal approach and a practical method are developed to analyze the complex relationships between requirements. Conflicting requirements can be identified and represented using both qualitative terms and quantitative measures. Multiple requirements with complex relationships among them are fused into an overall system requirement based on fuzzy multi-criteria decision techniques. To obtain a feasible overall system requirement that is satisfactory to customers, the iterative refinement of requirements and the negotiation between the customers and the requirement analysts regarding conflicting requirements are crucial. Our methodology supports the iterative process of refinement end negotiation by facilitating a formal trade-off analysis, by providing intelligent feedbacks generated based on the analysis, and by defining a clear process of compromise. Therefore, this methodology can help to achieve a better system objective that is satisfactory to customers and feasible to developers by fully exploiting the elasticity of imprecise requirements. In addition, the explicit specification of imprecise requirements provides a basis for verification and validation of software systems.
作者：
Wabnig, H.Haring, G.University of Vienna
Institute of Applied Computer Science and Information Systems Department of Advanced Computer Engineering Lenaugasse 2/8 ViennaA-1080 Austria
In the PAPS-parallel program performance prediction toolset-parallel systems are specified by the structure of the parallel program, the multiprocessor hardware, and the mapping of the program elements to processor no...
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The use of versioned data has proven its value in many areas of computerscience including concurrency control. In this paper we examine the use of versioned objects in object bases for the purpose of enhancing concur...
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Statecharts are used to produce operational specifications in the CASE tool STATEMATE. This tool provides some analysis capabilities such as reachability of states, but formal methods offer the potential of linking mo...
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For whatever reason, formal methods remain one of the more contentious techniques in industrial software engineering. Despite some improvement in the uptake of formal methods, it is still the case that the vast majori...
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The last several years have witnessed the introduction of a number of resource discovery systems to the Internet. Archie, Gopher, and the World-Wide Web are common examples which have achieved widespread popularity. T...
The last several years have witnessed the introduction of a number of resource discovery systems to the Internet. Archie, Gopher, and the World-Wide Web are common examples which have achieved widespread popularity. These systems are typically categorized as either searchers, or browsers, depending upon their approach to the information discovery *** methodologies have their respective strengths and weaknesses. However, neither approach appears to be fully capable of dealing with the increased demands of a rapidly expanding global network and burgeoning volume of data. Future Internet growth will only exacerbate this problem. A resource discovery system better suited to cope with the observed trends in Internet growth would ideally combine the most effective elements of both types of discovery *** paper describes one approach to such a hybrid resource discovery system. We focus on addressing specific shortcomings of current discovery paradigms and on the issues involved in locating and presenting high-quality information.
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