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International Conference on software Maintenance (ICSM)

作者： Renato L. Novais Camila Nunes Alessandro Garcia Manoel Mendonça Inf. Technol. Dept. Fed. Inst. of Bahia Santo Amaro Brazil Informatics Department-PUC-Rio Software Engineering Lab Rio de Janeiro Brazil Pontificia Universidade Catolica do Rio de Janeiro Rio de Janeiro RJ BR Fraunhofer Project Center for Software and Systems Engineering UFBA Brazil

ISBN: (纸本)9781467352185

Program comprehension is an essential activity to perform software maintenance and evolution. Comprehensibility often encompasses the analysis of individual logical units, called features, which are often scattered through many program modules. Understanding how the feature code is implemented along the software evolution history is essential, for instance, to perform refactoring activities. However, existing tools do not provide means to comprehend the feature code evolution. To overcome this shortcoming, this paper presents a tool called Source Miner Evolution (SME) that provides multiple interactive and coordinated views to comprehend feature code evolution. SME implements a feature-sensitive comparison of multiple program versions. Our usability assessment with experienced developers indicated that SME allows them to efficiently perform recurring comprehension tasks on evolving feature code. The developers' performance was influenced by the combination of visual SME mechanisms, such as colors, tool tips and menu-popup interactions over the features' code elements.

关键词： Visualization Color software systems Feature extraction Couplings History

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What we have learned about fighting defects 8

What we have learned about fighting defects

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8th IEEE Symposium on software Metrics

作者： Shull, F Basili, V Boehm, B Brown, AW Costa, P Lindvall, M Port, D Rus, I Tesoriero, R Zelkowitz, M Fraunhofer Center for Experimental Software Engineering MD United States University of Southern California Center for Software Engineering United States University of Maryland Empirical Software Engineering Group United States MSU United States NSF United States IBM United States Davis Systems United States Lockheed Martin United States Alcatel United States Harris Corp. United States Michael Fagan Associates United States JPL United States UNL United States U. Hawaii United States IESE United States USC United States Toshiba Japan ITT Industries United States U. Alberta Canada MITRE United States Don O'Neill Consulting United States Masters Systems United States STTP Inc. United States U. Kansas United States Raytheon United States

ISBN: (纸本)0769513395

The center for Empirically Based software engineering helps improve software development by providing guidelines for selecting development techniques, recommending areas for further research, and supporting software engineering education. A central activity toward achieving this goal has been the running of "e Workshops" that capture expert knowledge with a minimum of overhead effort to formulate heuristics on a particular topic. The resulting heuristics are a useful summary of the current state of knowledge in an area based on expert opinion. This paper discusses the results to date of a series of eWorkshops on software defect reduction. The original discussion items are presented along with an encapsulated summary of the expert discussion. The reformulated heuristics can be useful both to researchers (for pointing out gaps in the current state of the knowledge requiring further investigation) and to practitioners (for benchmarking or setting expectations about development practices). The heuristics will be further refined during a physical expert workshop at the 2002 Metrics Symposium.

关键词： Decision making Electrical capacitance tomography Feathers Guidelines Inspection Programming software engineering Testing

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Digitalization Cases Vol. 2 1

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丛书名： Management for Professionals

1000年

作者： Nils Urbach Maximilian Röglinger Karlheinz Kautz Rose Alinda Alias Carol Saunders Martin Wiener

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From design to test with UML applied to a roaming algorithm for bluetooth devices

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16th IFIP TC6/WG6.1 International Conference on Testing of Communicating systems, TestCom 2004

作者： Dai, Zhen Ru Grabowski, Jens Neukirchen, Helmut Pals, Holger Fraunhofer FOKUS Competence Center TIP Kaiserin-Augusta-Allee 31 BerlinD-10589 Germany Institute of Computer Engineering University of Lübeck Ratzeburger Allee 160 LübeckD-23538 Germany Institute for Informatics Software Engineering for Distributed Systems Group University of Göttingen Lotzestrasse 16-18 GöttingenD-37083 Germany

ISBN: (纸本)3540212191

The UML Testing Profile provides support for UML based model-driven testing. This paper introduces a methodology of how to use the testing profile in order to modify and extend an existing UML design model for test issues. As a case study, a new roaming algorithm for bluetooth devices has been developed at the University of Lübeck, is modelled using UML. The usability of the UML Testing Profile will be explained by applying it to this model. © IFIP 2004.

关键词： Bluetooth

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SPLC 2023 Industry Variability Challenges Workshop 23

SPLC 2023 Industry Variability Challenges Workshop

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Proceedings of the 27th ACM International systems and software Product Line Conference - Volume A

作者： Rick Rabiser Martin Becker Mitsuhiro Kitani CDL VaSiCS LIT CPS Lab Johannes Kepler University Linz Linz Austria Fraunhofer Institute for Experimental Software Engineering Kaiserslautern Germany Center for Technology Innovation - Systems Engineering Hitachi Yokohama Japan

ISBN: (纸本)9798400700910

The idea of the SPLC 2023 Industry Variability Challenges Workshop is to bring together practitioners and researchers to discuss the challenges regarding variability companies are currently facing. Companies can tell the researchers what they could/should work on regarding highly variable/configurable systems, identify areas where they would like to get some help from the SPLC community, network with other companies in other domains potentially having related issues, and identify possibilities to collaborate with researchers. Researchers can learn about current challenges of companies, relate industry challenges with ongoing research, and identify possibilities to collaborate with companies. After a motivating introduction by the organizers, each company pitches their setting, especially drivers, challenges, and lessons learned with regard to dealing with variability/highly variable/configurable systems in their context. Workshop organizers document challenges live on a shared board. This is followed by open discussion guided by the workshop organizers to further extend the challenges collected on the shared board and discuss them together with all participants.

关键词： Industry Challenges

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Assessing IT availability risks in smart factory networks

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Business Research 2019年第2期12卷 523-558页

作者： Häckel, Björn Hänsch, Florian Hertel, Michael Übelhör, Jochen University of Applied Sciences Augsburg Friedberger Straße 2a Augsburg 86161 Germany Project Group Business and Information Systems Engineering of the Fraunhofer FIT Augsburg Germany Finalix Business Consulting Baarerstrasse 110A Zug 6300 Switzerland BMW Financial Services Heidemannstraße 164 Munich 80939 Germany FIM Research Center University of Augsburg Universitätsstraße 12 Augsburg 86159 Germany

Emerging smart manufacturing technologies combine physical production networks with digital IT systems, resulting in complex smart factory networks, which are especially vulnerable to IT security risks, such as IT component non-availabilities. Companies must employ extensive IT security measures to secure their production facilities. However, complex network structures and inherent dependencies of smart factory networks complicate corresponding investment decisions and increase the need for appropriate decision support. We develop a risk assessment model that supports companies in the investment decision-making process regarding IT security measures by identifying and evaluating the most critical areas of the information network while considering the underlying production network. For this purpose, IT availability risks are quantified by means of graph theory, matrix notation, and value-at-risk. Our model provides a structured approach and considers network structures and interdependencies. The insights gained by our model present a profound economic basis for investment decisions on IT security measures. By applying our model in an exemplary real-world setting, we analyze various IT security measures and their risk reduction effect. © 2018, The Author(s).

关键词： Investment decision support IT availability risks Network structure analysis Risk assessment Risk quantification Smart factory

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Investigating factors that affect the human perception on god class detection: an analysis based on a family of four controlled experiments

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Journal of software engineering Research and Development 2017年第1期5卷 1-39页

作者： José Amancio M. Santos João B. Rocha-Junior Manoel Gomes de Mendonça Technology Department State University of Feira de Santana Avenida Transnordestina s/n - Novo Horizonte Feira de Santan Bahia Brazil Exact Science Department State University of Feira de Santana Bahia Brazil Fraunhofer Project Center for Software & Systems Engineering Federal University of Bahia Bahia Brazil Department of Computer Science Federal University of Bahia Bahia Brazil

Evaluation of design problems in object oriented systems, which we call code smells, is mostly a human-based task. Several studies have investigated the impact of code smells in practice. Studies focusing on human identification of code smells have shown low agreement among developers. Unfortunately, those studies do not attempt to investigate the reasons behind this phenomenon. This paper aims to investigate factors affecting human perception of code smells. Specifically, it focuses on factors affecting god class detection, one of the most known code smells. The investigation encompassed a family of four controlled experiments, covering potential factors affecting human detection of code smells. The method is incremental. In other words, each experiment produces insights to the next one. This allows the investigators to control specific factors affecting the agreement on god class detection. The factors addressed in this study are: i) developer experience, ii) developer knowledge, iii) developer training, iv) tool support for design comprehension, and v) software size. Our findings show that tool support for design comprehension is the only factor that does not affect the human perception of god class. The other factors impact this perception in some way. The area still needs more investigation and discussion on what we call the code smell conceptualization problem, to ensure similar criteria and thresholds on human-based code smell detection.

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Augmenting the knowledge bandwidth and connecting heterogeneous expert communities through uncovering tacit knowledge

Augmenting the knowledge bandwidth and connecting heterogene...

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IEEE Workshop on Knowledge Media Networking (KMN)

作者： J. Novak M. Fleischmann W. Strauss M. Schneider M. Wurst K. Morik A. Ziegler C. Kunz MARS Exploratory Media Laboratory Schloss Birlinghoven Fraunhofer Institute for Media Communication Sankt Augustin Germany Artificial Intelligence Department University of Dortmund Dortmund Germany Competence Center Software Technology and Interactive Systems Fraunhofer Institute of Industrial Engineering Stuttgart Germany

This paper presents an approach to exploring how implicit knowledge structures in different communities of experts can be discovered, visualised and employed for semantic navigation of information spaces and construction of new knowledge. The focus is on the developed conceptual model and system for creation and collaborative use of personalised learning knowledge maps. The developed prototype combines semantic text analysis with machine learning and interfaces for visualising relationships and creating new knowledge structures. Application scenarios include automatic generation of personalised knowledge portals, collaborative semantic exploration of complex information spaces and construction of shared ontology networks. The real-world testbed and context of development is the Internet platform *** that aims at establishing a knowledge portal connecting digital art, culture and information technology.

关键词： Bandwidth Joining processes Visualization Collaboration Portals Navigation Prototypes Text analysis Machine learning Space technology

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Improving the Educational Value of Operating systems

Improving the Educational Value of Operating Systems

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Roedunet International Conference (RoEduNet)

作者： Cezar Sava Răzvan Deaconescu Martin Kröning Antonello Monti Dinu Turcanu Computer Science and Engineering Department POLITEHNICA of Bucharest Bucharest Romania Institute for Automation of Complex Power Systems RWTH Aachen University Aachen Germany Fraunhofer Center Digital Energy Fraunhofer FIT Aachen Germany Department of Software Engineering and Automatics Technical University of Moldova Chişinău Moldova

ISBN: (数字)9798331540388

ISBN: (纸本)9798331540395

Educational operating systems are crucial for facilitating learning in the digital age, as they exist at the intersection of technology and education. While their technical role is well understood, improving their educational value requires enhancing traditional approaches. This paper explores ways to enrich educational operating systems not just through technological advancement, but also by integrating pedagogical principles. In an ever-changing world, the need for an adaptive and responsive educational operating system to meet diverse student needs is crucial. Through case studies, we analyze how design, interactivity, and accessibility can transform these systems into effective and appealing learning environments. We propose a series of recommendations for the future development of educational operating systems, focusing on enhancing the learning experience and promoting student autonomy, thereby offering a fresh perspective on how technology and education can blend harmoniously and efficiently.

关键词： Adaptive systems Operating systems Education Focusing Transforms Information age

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

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Procedia CIRP 2024年 130卷 1296-1302页

作者： Christoph Hennebold Muhammad M. Islam Jonas Krauß Marco F. Huber Fraunhofer Institute for Manufacturing Engineering and Automation IPA Nobelstr. 12 70569 Stuttgart Germany Fraunhofer Institute for Ceramic Technologies and Systems IKTS Fraunhofer Technology Center for High-Performance Materials THM Am St.-Niclas-Schacht 13 09599 Freiberg Germany Project Group Process Innovation Fraunhofer Institute for Manufacturing Engineering and Automation IPA Universitätsstraße 9 95447 Bayreuth Germany Institute for Industrial Manufacturing and Management IFF University of Stuttgart Allmandring 35 70569 Stuttgart 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.

关键词： Process Mining Causal Discovery Domain Knowledge Hybrid Modeling

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