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检索条件"丛书名=Lecture Notes in Business Information Processing"

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Towards Smart Cities 4.0: Digital Participation in Smart Cities Solutions and the Use of Disruptive Technologies 18th

Towards Smart Cities 4.0: Digital Participation in Smart Cit...

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18th European, Mediterranean, and Middle Eastern Conference on information Systems (EMCIS)

作者： Alexopoulos, Charalampos Keramidis, Panagiotis Pereira, Gabriela Viale Charalabidis, Yannis Univ Aegean Samos 83200 North Aegean Greece Danube Univ Krems A-3500 Krems Lower Austria Austria

ISBN: (纸本)9783030959470;9783030959463

The realization of the complexity of the modern societies' needs and problems leads to an understanding that the current civil societies' ecosystem could be compared to a network, where every stakeholder is connected to the others and they collaborate by exchanging information, services and engagement. Recent research studies suggest the adoption of a new model, the Quadruple Helix model, in the action plans of smart cities. This model puts the community and the citizens in the command position alongside with the business, research and government stakeholders. It also entails the participation of the citizens not only in the service provision, through monitor and engagement, but also in the policy making, leading to a more bottom-up decision-making system towards Smart Cities 4.0 level. information and Communication Technologies, and more specifically the Disruptive Technologies, emerge as a major means of achieving digital transformation in order to co-create user-driven decisions for the communities and the smart cities of the future. The aim of this study is to compare existing solutions of digital participation systems, identify the points of convergence and differentiation and extract useful insights for future research and applications.

关键词： Smart Cities Disruptive technologies Digital participation

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NFR Evaluation in IoT Applications: Methods, Strategies and Open Challenges 23rd

NFR Evaluation in IoT Applications: Methods, Strategies and ...

引用

23rd International Conference on Enterprise information Systems (ICEIS)

作者： Paiva, Joseane O. V. Andrade, Rossana M. C. Carvalho, Rainara M. Univ Fed Ceara Grp Comp Network Software Engn & Syst Fortaleza Ceara Brazil

ISBN: (纸本)9783031089657;9783031089640

Internet of Things (IoT) is a paradigm that allows physical objects to interact and work together over the Internet. IoT applications will be increasingly common in our lives and influence the way we perform daily activities in the near future. This type of application has particular characteristics, such as context awareness, interconnectivity, and heterogeneity, and it presents a new type of interaction, the interaction between devices (called thing-thing interaction). These characteristics represent the expectation around the system and are also known as Non-Functional Requirements (NFRs). However, these NFRs often increase the complexity of IoT application development and evaluation. Then, this paper aims to identify, through a literature review, how the scientific community has addressed the evaluation of NFRs for IoT applications, how these evaluations have been performed, what artifacts have been used, which NFRs are considered during these evaluations, and what are the main challenges faced by evaluators. We use a systematic mapping methodology to provide a comprehensive overview of the subject and we strengthen the results by conducting a snowballing procedure (backward and forward). As a result, we identified a set of 48 NFRs for IoT applications as well as seven tools, six approaches, four methods and one process that can be considered for evaluating IoT applications. Furthermore, we list the main challenges related to the evaluation of NFRs for IoT applications and provide a summary of the scientific community's view on the topic.

关键词： Internet of Things Software quality Non-functional requirements Literature review

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Counterfactual Explanations for Predictive business Process Monitoring 18th

Counterfactual Explanations for Predictive Business Process ...

引用

18th European, Mediterranean, and Middle Eastern Conference on information Systems (EMCIS)

作者： Huang, Tsung-Hao Metzger, Andreas Pohl, Klaus Paluno Ruhr Inst Software Technol Gerlingstr 16 D-45127 Essen Germany

ISBN: (纸本)9783030959470;9783030959463

Predictive business process monitoring increasingly leverages sophisticated prediction models. Although sophisticated models achieve consistently higher prediction accuracy than simple models, one major drawback is their lack of interpretability, which limits their adoption in practice. We thus see growing interest in explainable predictive business process monitoring, which aims to increase the interpretability of prediction models. Existing solutions focus on giving factual explanations. While factual explanations can be helpful, humans typically do not ask why a particular prediction was made, but rather why it was made instead of another prediction, i.e., humans are interested in counterfactual explanations. While research in explainable AI produced several promising techniques to generate counterfactual explanations, directly applying them to predictive process monitoring may deliver unrealistic explanations, because they ignore the underlying process constraints. We propose LORELEY, a counterfactual explanation technique for predictive process monitoring, which extends LORE, a recent explainable AI technique. We impose control flow constraints to the explanation generation process to ensure realistic counterfactual explanations. Moreover, we extend LORE to enable explaining multi-class classification models. Experimental results using a real, public dataset indicate that LORELEY can approximate the prediction models with an average fidelity of 97.69% and generate realistic counterfactual explanations.

关键词： Predictive process monitoring Counterfactual explanation explainable AI

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Flexible Enterprise Optimization with Constraint Programming 11th

Flexible Enterprise Optimization with Constraint Programming

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11th Enterprise Engineering Working Conference (EEWC)

作者： Andringa, Sytze P. E. Yorke-Smith, Neil Delft Univ Technol Algorithm Grp Delft Netherlands

ISBN: (纸本)9783031115202;9783031115196

Simulation-optimization is often used in enterprise decision-making processes, both operational and tactical. This paper shows how an intuitive mapping from descriptive problem to optimization model can be realized with Constraint Programming (CP). It shows how a CP model can be constructed given a simulation model and a set of business goals. The approach is to train a neural network (NN) on simulation model inputs and outputs, and embed the NN into the CP model together with a set of soft constraints that represent business goals. We study this novel simulation-optimization approach through a set of experiments, finding that it is flexible to changing multiple objectives simultaneously, allows an intuitive mapping from business goals expressed in natural language to a formal model suitable for state-of-the-art optimization solvers, and is realizable for diverse managerial problems.

关键词： Enterprise simulation Constraint Programming Deep learning Simulation-optimization

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Continuous Performance Evaluation for business Process Outcome Monitoring 1

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3rd International Conference on Process Mining (ICPM)

作者： Lee, Suhwan Comuzzi, Marco Lu, Xixi Univ Utrecht Utrecht Netherlands Ulsan Natl Inst Sci & Technol Ulsan South Korea

ISBN: (数字)9783030985813

ISBN: (纸本)9783030985813;9783030985806

While a few approaches to online predictive monitoring have focused on concept drift model adaptation, none have considered in depth the issue of performance evaluation for online process outcome prediction. Without such a continuous evaluation, users may be unaware of the performance of predictive models, resulting in inaccurate and misleading predictions. This paper fills this gap by proposing a framework for evaluating online process outcome predictions, comprising two different evaluation methods. These methods are partly inspired by the literature on streaming classification with delayed labels and complement each other to provide a comprehensive evaluation of process monitoring techniques: one focuses on real-time performance evaluation, i.e., evaluating the performance of the most recent predictions, whereas the other focuses on progress-based evaluation, i.e., evaluating the ability of a model to output correct predictions at different prefix lengths. We present an evaluation involving three publicly available event logs, including a log characterised by concept drift.

关键词： predictive monitoring process outcome event stream

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How a 4-Day Work Week and Remote Work Affect Agile Software Development Teams 6th

How a 4-Day Work Week and Remote Work Affect Agile Software ...

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6th International Conference on Lean and Agile Software Development (LASD)

作者： Topp, Julia Hille, Jan Hendrik Neumann, Michael Moetefindt, David Univ Appl Sci & Arts Hsch Hannover Ricklinger Stadtweg 120 D-30459 Hannover Germany Agile Move Ackerstr 16 D-30851 Langenhagen Germany

ISBN: (纸本)9783030942380;9783030942373

Context: Agile software development (ASD) sets social aspects like communication and collaboration in focus. Thus, one may assume that the specific work organization of companies impacts the work of ASD teams. A major change in work organization is the switch to a 4-day work week, which some companies investigated in experiments. Also, recent studies show that ASD teams are affected by the switch to remote work since the Covid 19 pandemic outbreak in 2020. Objective: Our study presents empirical findings on the effects on ASD teams operating remote in a 4-day work week organization. Method: We performed a qualitative single case study and conducted seven semi-structured interviews, observed 14 agile practices and screened eight project documents and protocols of agile practices. Results: We found, that the teams adapted the agile method in use due to the change to a 4-day work week environment and the switch to remote work. The productivity of the two ASD teams did not decrease. Although the stress level of the ASD team member increased due to the 4-day work week, we found that the job satisfaction of the individual ASD team members is affected positively. Finally, we point to affects on social facets of the ASD teams. Conclusion: The research community benefits from our results as the current state of research dealing with the effects of a 4-day work week on ASD teams is limited. Also, our findings provide several practical implications for ASD teams working remote in a 4-day work week.

关键词： Agile methods Agile software development Remote work 4-day work week Alternative work schedule Covid 19

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Effort Estimation in Agile Software Development: A Exploratory Study of Practitioners' Perspective 6th

Effort Estimation in Agile Software Development: A Explorato...

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6th International Conference on Lean and Agile Software Development (LASD)

作者： Sandeep, R. C. Sanchez-Gordon, Mary Colomo-Palacios, Ricardo Kristiansen, Monica Ostfold Univ Coll Halden Norway

ISBN: (纸本)9783030942380;9783030942373

Software is increasingly important for our society. However, software industry presents flaws to meet market demands in a faster and reliable way. Agile methods are a way to tackle this problem. However, this approach also poses several challenges, including effort estimation as one of them. In this scenario, #NoEstimates and #NoProject movements emerged as another way to solve estimation issues. In this new scenario, this study aims to provide further empirical evidence on agile effort estimation techniques in practice. To do so, an online survey was designed based on a literature review. Researchers gathered 53 valid questionnaires from agile practitioners. Result shows the importance of hybrid software development approaches and mixed effort estimation techniques. However, it is important to note that Story Points and Fibonacci series are often used as well. Moreover, the most perceived benefit of estimation in agile contexts is to drive the team to complete the project successfully. Complexity and uncertainty are perceived as key factors in estimation accuracy. Finally, further research should be conducted to gain a better understanding of #NoEstimates and #NoProject movements.

关键词： Effort estimation Agile software development Distributed software development

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Designing Monitoring Systems for Complex Event processing in Big Data Contexts 18th

Designing Monitoring Systems for Complex Event Processing in...

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18th European, Mediterranean, and Middle Eastern Conference on information Systems (EMCIS)

作者： Andrade, Carina Cardoso, Maria Costa, Carlos Santos, Maribel Yasmina Univ Minho ALGORITMI Res Ctr Guimaraes Portugal

ISBN: (纸本)9783030959470;9783030959463

Nowadays, the amount of data that is constantly being generated presents new challenges for the technical and scientific community, such as the challenge of ensuring Complex Event processing (CEP) in Big Data contexts, which arises to meet current advanced analytical needs. Therefore, some works are dedicated to the design and implementation of integrated CEP systems in the context of Big Data, as it is an example the Intelligent Event Broker (IEB) on which this work is based on. The IEB is a collection of several components that are integrated and validated to create a homogeneous system that will process events in real time in Big Data contexts, focusing on a rule-based approach. Considering the complexity of the IEB in constantly running contexts, it is important to have the ability of monitoring the evolution of the system, to avoid its uncontrolled growth. To accomplish that, we have previously proposed a component named "Mapping and Drill-down System" for the IEB, composed of a Web visualization Platform and a graph database. The main goal of the work presented in this paper is propose an architecture for the Mapping and Drill-down System component to monitor, in real time, the IEB's execution data, by collecting, processing, and efficiently storing it in a graph database for later visualization through the Web Visualization Platform. The graph database and the Web Visualization platform are the key components of the Mapping and Drill-down System. With this work, it will be easier to understand the behavior of the IEB in constantly running contexts, ensuring its controlled growth and helping the community in the design and development of CEP systems for Big Data contexts, especially in the monitoring component of such complex systems.

关键词： Intelligent event broker Complex event processing Big data Monitoring Log analysis

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Naive Bayes Based Classifier for Credit Card Fraud Discovery 18th

Naive Bayes Based Classifier for Credit Card Fraud Discovery

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18th European, Mediterranean, and Middle Eastern Conference on information Systems (EMCIS)

作者： Ogundokun, Roseline Oluwaseun Misra, Sanjay Fatigun, Olufunmilayo Joyce Adeniyi, Jide Kehinde Landmark Univ Dept Comp Sci Omu Aran Nigeria Ostfold Univ Coll Dept Comp Sci & Commun Halden Norway Agr & Rural Management Training Inst Directorate Financial Serv Ilorin Nigeria

ISBN: (纸本)9783030959470;9783030959463

As financial services and operations expand, financial fraud is on the rise. Despite the use of preventative and security measures to reduce monetary fraud, criminals are constantly acquiring and developing new ways to circumvent fraud detection systems, posing a challenge to quantitative methods and predictive approaches. As a result, new methodologies must be researched and tested to leverage the insights gained from the study to assist further incorrect fraud forecasting and the establishment of fraud discovery schemes with extra measures to alleviate distrustful events. Naive Bayes (NB) is a significant Machine Learning (ML) classifier that is not yet explored in the literature, unlike the use of common ML techniques like Decision Tree (DT), Random Forest (RF), Artificial Neural Network (ANN), and the likes. This paper, therefore, explores the use of a technique yet to be employed for credit card fraud detection (CCFD) namely Naive Bayes. The classifier was compared using a confusion matrix for performance matrices like accuracy, precision, recall, f-measure, and ROC-AUC. It was discovered that NB outperformed most of the ML classifiers employed in state-of-the-art compared with an accuracy of 97.99%, recall of 98.02%, the precision of 99.97%, f-measure 98.98%, and FPR of 0.1971.

关键词： Naive Bayes Classification Machine learning Credit card fraud detection Credit card

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Exploring Technical Debt Tools: A Systematic Mapping Study 23rd

Exploring Technical Debt Tools: A Systematic Mapping Study

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23rd International Conference on Enterprise information Systems (ICEIS)

作者： Saraiva da Silva, Jose Diego Neto, Jose Gameleira Kulesza, Uira Freitas, Guilherme Reboucas, Rodrigo Coelho, Roberta Univ Fed Rio Grande do Norte Dept Informat & Appl Math DIMAp Natal RN Brazil

ISBN: (纸本)9783031089657;9783031089640

Context: The concept of technical debt (TD) is a metaphor inspired by the financial debt of economic theory to represent unavoidable quality compromises derived by the non-optimal solutions that aim short-term benefits to software projects, in terms of increased productivity and reduced cost, but that in the long-term negatively affect software quality. Objective: This work aims (i) to make a critical examination of technical debt tools, (ii) to consolidate the understanding about how existing tools map to TD types and activities, and (iii) to analyze the existing empirical evidence on their validity. Results: We select 47 primary studies and evaluate 50 tools. An essential outcome of this research is a holistic view of TD tools regarding the features proposed by them to address technical debt in different dimensions and a categorization that describes and encompasses the main characteristics of the tools. We also present a maturity level analysis of the tools. Finally, we discussed the main findings and implications for future research. Conclusions: We identify that most of existing tools are industrial, revealing a considerable interest of the industry in TD tools. Most of the tools address code-related TD. There is a need for more evaluation studies to quantify the usefulness and reliability of the tools. Moreover, we recognize the necessity of dedicated TDM tools for managing non-code-related TD.

关键词： Systematic mapping study Technical debt Technical debt management Tools

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