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Asia-Pacific Conference on software engineering

作者： Aitziber Iglesias Tao Yue Cristobal Arellano Shaukat Ali Goiuria Sagardui Information and Communication Technologies Area IK4-Ikerlan Research Center Arrasate Spain Department of Engineering Complex Software Systems Simula Research Laboratory Oslo Norway Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan Information Systems HAZI-ISI Mondragon Unibertsitatea Arrasate Spain

ISBN: (纸本)9781728119717;9781728119700

Monitoring Industrial Cyber-Physical Systems (ICPSs) is increasingly becoming essential, which requires the development of new approaches to capture data from an ICPS for visualization, automated analyses, decision making, and anomaly detection. Towards this end, first, we present requirements for enabling personalized data visualization for monitoring evolving ICPS during its operation. Such requirements were identified from our experience of designing and developing an industrial Automated Warehouse (AW). Second, the identified requirements were validated with a questionnaire-based survey by soliciting views of industry experts from the software Monitoring Systems and Data Visualizations domains. Based on the analysis of the survey results, the need of developing personalized ICPS monitoring systems was confirmed as a step forward to enable the efficient detection of anomalies, improvement in productivity, and providing a better overview of the monitored ICPSs. Third, we developed a model-based visualization system (named as PAVS) for monitoring ICPSs, which conforms to the identified requirements, and was validated it with a dataset collected from a real AW developed by our industrial partner: ULMA Handling System, Spain. In the end, we also provide a set of lessons learned when PAVS was transferred to ULMA.

关键词： Data visualization Monitoring Germanium Runtime Industries software Cyber-physical systems

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Alternative backoff: Achieving low latency and high throughput with ECN and AQM

Alternative backoff: Achieving low latency and high throughp...

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IFIP Networking Conference

作者： Naeem Khademi Grenville Armitage Michael Welzl Sebastian Zander Gorry Fairhurst David Ros Department of Informatics University of Oslo Norway School of Software and Electrical Engineering Swinburne University of Technology Australia School of Engineering and Information Technology Murdoch University Australia School of Engineering University of Aberdeen United Kingdom Simula Research Laboratory Norway

A number of recently proposed Active Queue Management (AQM) mechanisms instantiate shallow buffers with burst tolerance to minimise the time that packets spend enqueued at a bottleneck. However, shallow buffering causes noticeable TCP performance degradation as a path's underlying round trip time (RTT) heads above typical intra-country levels. Using less-aggressive multiplicative backoffs in TCP can compensate for shallow bottleneck buffering. AQM mechanisms may either drop packets or mark them using Explicit Congestion Notification (ECN), depending on whether the sender marked packets as ECN-capable. While a drop may therefore stem from any type of queue, an ECN-mark indicates that an AQM mechanism has done its job, and therefore the queue is likely to be shallow. We propose ABE: “Alternative Backoff with ECN”, which consists of enabling ECN and letting individual TCP senders back off less aggressively in reaction to ECN-marks from AQM-enabled bottlenecks. Using controlled testbed experiments with standard NewReno and CUBIC flows, we show significant performance gains in lightly-multiplexed scenarios, without losing the delay-reduction benefits of deploying AQM. ABE is a sender-side-only modification that can be deployed across networks incrementally (requiring no flag-day) and offers a compelling reason to deploy and enable ECN across the Internet.

关键词： Delays Throughput Packet loss Electronic mail Internet Standards

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Erratum to: A new lightweight RFID grouping authentication protocol for multiple tags in mobile environment

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Multimedia Tools and Applications 2017年第21期76卷 22785-22785页

作者： Shen, Jian Tan, Haowen Zhang, Yan Sun, Xingming Xiang, Yang Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology School of Computer & Software Nanjing University of Information Science and Technology Nanjing China School of Computer & Software Nanjing University of Information Science & Technology Nanjing China Simula Research Laboratory of Norway and the Department of Informatics University of Oslo Oslo Norway Center for Cyber Security Research Deakin University Deakin Australia

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How do scientists develop and use scientific software?

How do scientists develop and use scientific software?

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ICSE Workshop on software engineering for Computational Science and engineering, SECSE

作者： Jo Erskine Hannay Carolyn MacLeod Janice Singer Hans Petter Langtangen Dietmar Pfahl Greg Wilson Department of Software Engineering Simula Research LaboratoryDepartment of Informatics University of Oslo Norway Center of Biomedical Computing Simula Research Laboratory Department of Informatics University of Oslo Norway Department of Computer Science University of Toronto Canada Software Engineering Group National Research Council Canada Canada

ISBN: (纸本)9781424437375

New knowledge in science and engineering relies increasingly on results produced by scientific software. Therefore, knowing how scientists develop and use software in their research is critical to assessing the necessity for improving current development practices and to making decisions about the future allocation of resources. To that end, this paper presents the results of a survey conducted online in October-December 2008 which received almost 2000 responses. Our main conclusions are that (1) the knowledge required to develop and use scientific software is primarily acquired from peers and through self-study, rather than from formal education and training; (2) the number of scientists using supercomputers is small compared to the number using desktop or intermediate computers; (3) most scientists rely primarily on software with a large user base; (4) while many scientists believe that software testing is important, a smaller number believe they have sufficient understanding about testing concepts; and (5) that there is a tendency for scientists to rank standard software engineering concepts higher if they work in large software development projects and teams, but that there is no uniform trend of association between rank of importance of software engineering concepts and project/team size.

关键词： software testing software engineering Knowledge engineering Resource management Computer science education Supercomputers Peer to peer computing Automatic testing software standards Standards development

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A customizable pattern-based software process simulation model: Design, calibration and application

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software Process Improvement and Practice 2009年第3期14卷 165-180页

作者： Garousi, Vahid Khosrovian, Keyvan Pfahl, Dietmar Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Canada Simula Research Laboratory Software Engineering Department P.O.Box 134 1325 Lysaker Norway Department of Informatics University of Oslo Norway

software process analysis and improvement relies heavily on empirical research. Empirical research requires measurement, experimentation, and modeling. However, whatever evidence is gained via empirical research is strongly context dependent. Thus, it is hard to combine results and capitalize upon them for the purpose of improvement in evolving development environments. The process simulationmodel GENSIM2.0 addresses these challenges. GENSIM 2.0 is a generic process simulation tool representing V-model type software development processes. Compared to existing process simulation models in the literature, the novelty of GENSIM 2.0 is twofold. Firstly, its model structure is customizable to organization-specific processes. This is achieved by using a limited set of generic structures (macro-patterns). Secondly, its model parameters can be easily calibrated to available empirical data and expert knowledge. This is achieved by making the internal model structures explicit and by providing guidance on how to calibrate model parameters. This article outlines the structure of GENSIM 2.0, gives examples on how to calibrate themodel to available empirical data, and demonstrates its usefulness through two application scenarios The first scenario illustrates how GENSIM 2.0 helps in finding effective combinations of verification and validation techniques under given time and effort constraints. The second scenario shows how the simulator supports in finding the best combination of alternative verification techniques. © 2009 John Wiley & Sons, Ltd.

关键词： software design

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Flexibility in research designs in empirical software engineering 12

Flexibility in research designs in empirical software engine...

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12th International Conference on Evaluation and Assessment in software engineering, EASE 2008

作者： Kampenes, Vigdis By Anda, Bente Dybå, Tore Department of Software Engineering Simula Research Laboratory P.O. Box 134 LysakerNO-1325 Norway Department of Informatics University of Oslo P.O. Box 1080 Blindern OsloNO-0316 Norway SINTEF ICT TrondheimNO-7465 Norway

Problem outline: It is common to classify empirical research designs as either qualitative or quantitative. Typically, particular research methods (e.g., case studies, action research, experiments and surveys) are associated with one or the other of these types of design. Studies in empirical software engineering (ESE) are often exploratory and often involve software developers and development organizations. As a consequence, it may be difficult to plan all aspects of the studies, and to be successful, ESE studies must often be designed to handle possible changes during the conduct of the study. A problem with the above classification is that it does not cater for flexibility in design. Position: This paper suggests viewing research in ESE along the axis of flexible and fixed designs, which is both orthogonal to the axis of quantitative and qualitative designs, and independent of the particular research method. According to the traditional view of ESE, changes to the research design in the course of a study are typically regarded as threats to the validity of the results. However, viewing the study designs as flexible, practical challenges can provide useful information. The validity of the results of studies with flexible research designs can be established by applying techniques that are traditionally used for qualitative designs. This paper urges an increased recognition of flexible designs in ESE and discusses techniques for establishing the trustworthiness in flexible designs. © 2008 Evaluation and Assessment in software engineering. All rights reserved.

关键词： Curricula

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Performing operational release planning, replanning and risk analysis using a system dynamics simulation model

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software Process Improvement and Practice 2008年第3期13卷 265-279页

作者： Al-Emran, Ahmed Pfahl, Dietmar Software Engineering Decision Support Laboratory Schulich School of Engineering University of Calgary Canada Schulich School of Engineering University of Calgary Canada Department of Informatics University of Oslo Norway Simula Research Laboratory Norway University of Calgary Schulich School of Engineering Department Electrical and Computer Engineering 2500 University Dr. N.W. Calgary AB T2N 1N4 Canada

software release planning takes place on strategic and operational levels. Strategic release planning aims at assigning features to subsequent releases such that technical, resource, risk and budget constraints are met. Operational release planning focuses on the development of a single software release. Its purpose is to assign resources to feature development tasks such that total release duration is minimized under given process and project constraints. Replanning becomes necessary on the operational level because of addition or deletion of features during release development, due to changes in the workforce, or due to changes in process and project constraints. The allocation of resources to feature development tasks depends on the accurate estimation of planning parameters like task size, developer productivity or dependencies between task types. Risk analysis can help assess the reliability of a chosen release plan due to variation in these dependencies. In this article, we present elements of a simulation-based methodology to planning, replanning and risk analysis of software releases on an operational level. Even though there exist approaches addressing these three aspects individually, our proposed approach combines all of them into one single package and, hence, offers stronger support to decision makers. The core element of the methodology is the process simulation model REPSIM-2 (Release Plan simulator, Version 2). We describe the functionality of REPSIM-2 and illustrate its usefulness for planning, replanning and risk analysis through application scenarios. Copyright © 2008 John Wiley & Sons, Ltd.

关键词： Risk analysis

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Educational Approach to an Experiment in a software Architecture Course

Educational Approach to an Experiment in a Software Architec...

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Conference on software engineering Education & Training (CSEE&T)

作者： Alf Inge Wang Erik Arisholm Letizia Jaccheri Department of Computer and Info. Science Norwegian University of Science and Technology Trondheim Norway Department of Informatics University of Oslo Oslo Norway Department of Software Engineering Simula Research Laboratory Lysaker Norway

This paper reports experiences from an experiment in a software architecture course where the focus was both on giving students valuable education as well as getting important empirical results. The paper describes how the experiment was integrated in the course, and presents an evaluation of the experiment from an educational point of view. Further, the paper reflects on the costs and the benefits of carrying out an experiment in the context of a software architecture course for the involved stakeholders namely the researchers, the students, and the instructors. We also describe some guidelines for planning and executing experiments as a part of a software engineering course.

关键词： software architecture software engineering Educational technology Student experiments Computer science education Guidelines Laboratories Recruitment Testing informatics

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