检索结果-内蒙古大学图书馆

Euromicro Conference on software engineering and Advanced Applications (SEAA)

作者： Uwe Pohlmann Jörg Holtmann Matthias Meyer Christopher Gerking Project Group Mechatronic Systems Design Fraunhofer Institute for Production Technology IPT Paderborn Germany Software Engineering Group University of Paderborn Paderborn Germany

Future smart systems will provide functionality by dynamically interacting with each other in cyber-physical systems. Such interactions require a message-based coordination under hard real-time constraints. This is realized by complex software, which combines discrete, state-based behavior with continuous behavior controlling the dynamics of the physical system parts. The development methods and tools for these kinds of software are not well integrated so far. For the modeling and simulation of physical and continuous control behavior, Modelica can be used. For modeling the discrete coordination behavior, MECHATRONICUML (MUML) can be used, which in addition offers a formal verification of safety requirements like deadlock-freedom of interactions, for example. We introduce in this paper an automatic transformation for formally verified MUML models into Modelica to ensure that the discrete state-based software correctly interacts with the continuous control software, physical parts, and a plant model. We illustrate this concept by means of a car-to-car coordination scenario.

关键词： Unified modeling language Mathematical model Real-time systems Clocks Analytical models software Libraries

来源：评论

学校读者我要写书评

暂无评论

Economic perspective on algorithm selection for predictive maintenance 27

Economic perspective on algorithm selection for predictive m...

引用

27th European Conference on Information systems: Information systems for a Sharing Society, ECIS 2019

作者： Fabri, Lukas Häckel, Björn Oberländer, Anna Maria Töppel, Jannick Zanker, Patrick FIM Research Center University of Augsburg Augsburg Germany Faculty of Computer Science University of Applied Sciences Augsburg Augsburg Germany Project Group Business Information Systems Engineering Fraunhofer FIT Augsburg Germany FIM Research Center University of Bayreuth Bayreuth Germany University of Augsburg Augsburg Germany

ISBN: (纸本)9781733632508

The increasing availability of data and computing capacity drives optimization potential. In the industrial context, predictive maintenance is particularly promising and various algorithms are available for implementation. For the evaluation and selection of predictive maintenance algorithms, hitherto, statistical measures such as absolute and relative prediction errors are considered. However, algorithm selection from a purely statistical perspective may not necessarily lead to the optimal economic outcome as the two types of prediction errors (i.e., alpha error ignoring system failures versus beta error falsely indicating system failures) are negatively correlated, thus, cannot be jointly optimized and are associated with different costs. Therefore, we compare the prediction performance of three types of algorithms from an economic perspective, namely Artificial Neural Networks, Support Vector Machines, and Hotelling T2 Control Charts. We show that the translation of statistical measures into a single cost-based objective function allows optimizing the individual algorithm parametrization as well as the un-ambiguous comparison among algorithms. In a real-life scenario of an industrial full-service provider we derive cost advantages of more than 17% compared to an algorithm selection based on purely statistical measures. This work contributes to the theoretical and practical knowledge on predictive maintenance algorithms and supports predictive maintenance investment decisions. © 27th European Conference on Information systems - Information systems for a Sharing Society, ECIS 2019. All rights reserved.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Combination of Process Mining and Causal Discovery Generated Graph Models for Comprehensive Process Modeling 57

Combination of Process Mining and Causal Discovery Generated...

引用

18th IFAC Workshop on Time Delay systems, TDS 2024

作者： Hennebold, Christoph Islam, Muhammad M. Krauß, Jonas Huber, Marco F. Fraunhofer Institute for Manufacturing Engineering and Automation IPA Nobelstr. 12 Stuttgart70569 Germany Institute for Industrial Manufacturing and Management IFF University of Stuttgart Allmandring 35 Stuttgart70569 Germany Project Group Process Innovation Fraunhofer Institute for Manufacturing Engineering and Automation IPA Universitätsstraße 9 Bayreuth95447 Germany Fraunhofer Institute for Ceramic Technologies and Systems IKTS Fraunhofer Technology Center for High-Performance Materials THM Am St.-Niclas-Schacht 13 Freiberg09599 Germany

The extraction of process knowledge and its use for modeling and subsequent analysis is a very valuable approach to optimizing processes. Process Mining (PM) methods are widely used knowledge extraction techniques based on process knowledge recorded in event logs. One shortcoming is that PM approaches cannot easily access data in non-event log format, and secondly, that models are generated using directly-follows relations, which in the case of processes with concurrent activities means that process transitions may not be modeled correctly, and the resulting models do not correspond to reality as well as being unnecessarily complex. In addition, increasing digitization in manufacturing enables an ever greater collection of various data sources throughout the process with varying levels of information. Besides PM, in recent years great progress has been made in learning causal structures via causal discovery (CD) as well as in explicitly using additional expert knowledge. We argue that CD and expert knowledge are valuable additions to existing PM based approaches, as they allow knowledge extraction and modeling on different process levels. To combine these levels of information, this paper uses a manufacturing use case to show heterogeneous data sources and expert knowledge are used to create hybrid models. The results show that the combination of data-driven modeling methods with expert knowledge help to compensate for the weaknesses of the individual methods and achieve better overall results. © 2024 The Authors.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

Enhancing the system development process performance: A value-based approach

Enhancing the system development process performance: A valu...

引用

22nd Annual International Symposium of the International Council on systems engineering, INCOSE 2012 and the 8th Biennial European systems engineering Conference 2012, EuSEC 2012

作者： Mastrofmi, Manuel Cantone, Giovanni Seaman, Carolyn Shull, Forrest Diep, Madeline Falessi, Davide University of Rome Tor Vergata Department of Computer Science and Systems and Production Via del Politecnico 1 00133 Rome Italy Fraunhofer Center for Experimental Software Engineering University of Maryland Baltimore County Department of Information Systems ITE. Building. 1000 Hilltop Circle Baltimore MD 21250 United States Fraunhofer Center for Experimental Software Engineering 5825 University Research Court Suite 1300 College Park MD 20740-3823 United States Simula Research Laboratory Oslo Norway University of Rome Tor Vergata Department of Computer Science Systems and Production Via del Politecnico 1 00133 Rome Italy

ISBN: (纸本)9781622769162

When planning or controlling the system development process, a project leader needs to make decisions which take into account a number of aspects, including: availability of assets and competences, previously enacted processes in the organization, certifications the system is required to obtain, standards to comply with, interactions among process activities, contextual factors and constraints, and allocated budget and schedule. In this paper we propose a value-based approach for supporting decision making. The aim is to provide supportive information for decisions related to the system verification process. This would in turn enhance the performance of system development process by supporting the decision making process for complex systems. We report both academic and industrial empirical evaluations, which demonstrate the feasibility and effectiveness of our proposal, and thus prompt us to refine and extend our approach to sub-processes other than verification. ©2012 by the authors.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Recent developments in blockchain technology and their impact on energy consumption

arXiv

引用

arXiv 2021年

作者： Sedlmeir, Johannes Buhl, Hans Ulrich Fridgen, Gilbert Keller, Robert FIM Research Center University of Bayreuth Project Group Business & Information Systems Engineering of the Fraunhofer FIT Bayreuth Germany FIM Research Center University of Augsburg Project Group Business & Information Systems Engineering of the Fraunhofer FIT Augsburg Germany SnT - Interdisciplinary Center for Security Reliability and Trust University of Luxembourg Luxembourg

The enormous power consumption of Bitcoin has led to undifferentiated discussions in science and practice about the sustainability of blockchain and distributed ledger technology in general. However, blockchain technology is far from homogeneous – not only with regard to its applications, which now go far beyond cryptocurrencies and have reached businesses and the public sector, but also with regard to its technical characteristics and, in particular, its power consumption. This paper summarizes the status quo of the power consumption of various implementations of blockchain technology, with special emphasis on the recent "Bitcoin Halving" and so-called "zk-rollups". We argue that although Bitcoin and other proof-of-work blockchains do indeed consume a lot of power, alternative blockchain solutions with significantly lower power consumption are already available today, and new promising concepts are being tested that could further reduce in particular the power consumption of large blockchain networks in the near future. From this we conclude that although the criticism of Bitcoin’s power consumption is legitimate, it should not be used to derive an energy problem of blockchain technology in general. In many cases in which processes can be digitised or improved with the help of more energy-efficient blockchain variants, one can even expect net energy savings. © 2021, CC BY.

关键词： Distributed ledger

来源：评论

学校读者我要写书评

暂无评论

A contingency lens on cloud provider management processes

引用

Business Research 2020年第3期13卷 1451-1489页

作者： Oesterle, Severin Jöhnk, Jan Keller, Robert Urbach, Nils Yu, Xin FIM Research Center University of Bayreuth Bayreuth Germany Project Group Business & Information Systems Engineering of the Fraunhofer FIT Bayreuth Germany Faculty of Tourism Management University of Applied Sciences Kempten Kempten Germany Faculty of Business and Law Frankfurt University of Applied Sciences Frankfurt Germany University of Bayreuth Bayreuth Germany

Traditional ways of managing information technology (IT) service providers are no longer applicable as companies use more and more services provisioned in the cloud. Therefore, organizations are looking for new ways to manage their relationship with cloud providers. The shift from IT-as-a-product to IT-as-a-service puts clients in a continued dependency on cloud service providers (CSPs), making provider management a critical factor for companies’ success. In this paper, we (1) identify cloud-specific challenges in managing CSPs, (2) develop a corresponding process framework for CSP management, and (3) discuss and extend this framework. Our final cloud management framework comprises ten processes for effective CSP management based on a literature study and twelve expert interviews. Furthermore, we unpack three major contingency factors, i.e., client–provider ratio, specificity, and service delivery model, which influence the reasonability and configuration of the cloud management processes. Drawing on two specific cases from our interview study, we explicate the contingency factors’ influence. Thus, our paper contributes to cloud sourcing research by deepening the understanding of client–provider relationships and by introducing a viable CSP management instrument contingent on three salient factors of cloud service provisioning. © 2020, The Author(s).

关键词： Cloud computing Cloud sourcing Contingency theory Interview study IT sourcing Provider management

来源：评论

学校读者我要写书评

暂无评论

Towards an Ontology of Terms on Technical Debt

Towards an Ontology of Terms on Technical Debt

引用

International Workshop on Managing Technical Debt (MTD)

作者： Nicolli S.R. Alves Leilane F. Ribeiro Vivyane Caires Thiago S. Mendes Rodrigo O. Spínola Graduate Program in Systems and Computer Salvador University - UNIFACS Salvador Brazil Fraunhofer Project Center for Software and System Engineering UFBA Salvador Brazil Information Technology Department IFBA Santo Amaro Bahia Brazil

Technical debt is a term that has been used to describe the increased cost of changing or maintaining a system due to shortcuts taken during its development. As technical debt is a recent research area, its different types and their indicators are not organized yet. Therefore, this paper proposes an ontology of terms on technical debt in order to organize a common vocabulary for the area. The organized concepts derived from the results of a systematic literature mapping. The proposed ontology was evaluated in two steps. In the first one, some ontology design quality criteria were used. For the second one, a specialist in the area performed an initial evaluation. This work contributes to evolve the Technical Debt Landscape through the organization of the different types of technical debt and their indicators. We consider this an important contribution for both researchers and practitioners because this information was spread out in the literature hindering their use in research and development activities.

关键词： Ontologies software Documentation Organizations OWL Vocabulary Computer architecture

来源：评论

学校读者我要写书评

暂无评论

An industrial survey of requirements interdependencies in software product release planning

An industrial survey of requirements interdependencies in so...

引用

IEEE International Symposium on Requirements engineering

作者： P. Carlshamre K. Sandahl M. Lindvall B. Regnell J. Natt och Dag Ericsson Radio Systems AB Sweden Fraunhofer USA슠-슠Center for Experimental Software Engineering USA Department of Communication Systems Lund University Sweden

The task of finding an optimal selection of requirements for the next release of a software system is difficult as requirements may depend on each other in complex ways. The paper presents the results from an in-depth study of the interdependencies within 5 distinct sets of requirements, each including 20 high-priority requirements of 5 distinct products from 5 different companies. The results show that: (1) roughly 20% of the requirements are responsible for 75% of the interdependencies; (2) only a few requirements are singular; (3) customer-specific bespoke development tend to include more functionality- related dependencies whereas market-driven product development have an emphasis on value-related dependencies. Several strategies for reducing the effort needed for identifying and managing interdependencies are outlined. A technique for visualization of interdependencies with the aim of supporting release planning is also discussed. The complexity of requirements interdependency analysis is studied in relation to metrics of requirements coupling. Finally, a number of issues for further research are identified.

关键词： Computer industry Visualization project management Communication system software Job production systems Strategic planning Job shop scheduling Frequency engineering management Communication industry

来源：评论

学校读者我要写书评

暂无评论

Ask the Engineers: Exploring Repertory Grids and Personal Constructs for software Data Analysis

Ask the Engineers: Exploring Repertory Grids and Personal Co...

引用

ICSE Workshop on Cooperative and Human Aspects on software engineering, CHASE

作者： Lucas Layman Carolyn Seaman Davide Falessi Madeline Diep Software and Process Analytics Fraunhofer Center for Experimental Software Engineering College Park MD USA Dept. of Information Systems University of Maryland Baltimore MD USA

Maturity in software projects is often equated with data-driven predictability. However, data collection is expensive and measuring all variables that may correlate with project outcome is neither practical nor feasible. In contrast, a project engineer can identify a handful of factors that he or she believes influence the success of a project. The challenge is to quantify engineers' insights in a way that is useful for data analysis. In this exploratory study, we investigate the repertory grid technique for this purpose. The repertory grid technique is an interview-based procedure for eliciting "constructs" (e.g., Adhering to coding standards) that individuals believe influence a worldly phenomenon (e.g., What makes a high-quality software project) by comparing example elements from their past (e.g., projects they have worked on). We investigate the relationship between objective metrics of project performance and repertory grid constructs elicited from eight software engineers. Our results show correlations between the engineers' subjective constructs and the objective project outcome measures. This suggests that repertory grids may be of benefit in developing models of project outcomes, particularly when project data is limited.

关键词： software Productivity Interviews Atmospheric measurements Particle measurements Companies

来源：评论

学校读者我要写书评

暂无评论

Decision-making with artificial intelligence: Towards a novel conceptualization of patterns 24

Decision-making with artificial intelligence: Towards a nove...

引用

24th Pacific Asia Conference on Information systems: Information systems (IS) for the Future, PACIS 2020

作者： Leyer, Michael Dootson, Paula Oberländer, Anna Maria Kowalkiewicz, Marek University of Rostock Ulmenstraße 69 Rostock18057 Germany Queensland University of Technology 2 George St BrisbaneQLD4000 Australia FIM Research Center University of Bayreuth Project Group Business and Information Systems Engineering Fraunhofer FIT Wittelsbacherring 10 Bayreuth95444 Germany

The rapidly increasing amount of data available in society and business drives the development of Artificial Intelligence (AI). As the number of AI-based services is increasing, customers delegate intimate and relevant decisions to AI. However, current literature lacks understanding of what patterns of decision-making processes with AI involved exist, and it remains unclear how to structure and classify AI-based services accordingly. Therefore, we present and evaluate a set of seven patterns of decision-making processes with AI involved. Building on decision-making theory as justificatory knowledge, we focus on the business-to-customer context to provide a novel perspective on the interactions of customers with AI. We apply the patterns to real-world examples of companies offering AI-based services. Our work contributes to the descriptive knowledge of AI and decision-making theory providing a foundation for future research and supporting practitioners in designing AI-based services. © Proceedings of the 24th Pacific Asia Conference on Information systems: Information systems (IS) for the Future, PACIS 2020. All rights reserved.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：