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检索条件"丛书名=Lecture Notes in Business Information Processing 252"

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Data-Limited Continuous Experimentation (dlCE): A Literature Review 1

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15th International Conference on Software business-ICSOB-Annual

作者： Chren, Stanislav Fagerholm, Fabian Bjarnason, Elizabeth Linaker, Johan Rafi, Saima Lehtela, Bettina Runeson, Per Kauppinen, Marjo Aalto Univ Espoo Finland Lund Univ Lund Sweden Edinburgh Napier Univ Edinburgh Midlothian Scotland

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

Continuous experimentation (CE) is a software development approach where product decisions are data-driven. Large global internet-facing companies such as Microsoft, Google, and Facebook apply the practice by leveraging their massive user bases to obtain high statistical significance in experimentation results. However, companies with smaller user bases, such as small- and medium-sized enterprises (SMEs) and early-stage software startups, struggle to adopt CE due to limitations in user data. Our goal is to increase understanding of situations in CE where data limitations occur, as observed in the research literature. We investigate data limitations and challenges related to them, including their characteristics, and solutions and practices that may address these. We conducted a rapid review of CE papers from a previous systematic literature review, and analysed these to identify scenarios that exhibit data limitations in CE. We present a framework that illustrates different dimensions of data-limited CE (DLC) and connects scenarios to challenges and their potential future solutions. Most challenges and potential solutions that we found are related to the amount of data. We also note examples of other limitations related to, e.g., evaluation metrics, that provide interesting avenues for further research.

关键词： Continuous experimentation Software engineering User data

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Forging the LongSWORD: Exaptation and Enhancement of the SWORD Framework for Workaround Detection 22nd

Forging the LongSWORD: Exaptation and Enhancement of the SWO...

引用

22nd International Conference on business Process Management (BPM)

作者： Loehr, Bernd Bartelheimer, Christian Koehne, Frank Nordlohne, Sina Alile, Daniel Latten, Andrees Univ Paderborn Fac Business Adm & Econ Paderborn Germany Viadee Consulting AG Munster Germany

ISBN: (纸本)9783031786655;9783031786662

Workarounds are goal-driven adaptations of business processes that employees implement to overcome perceived constraints at work. While process deviations can be easily detected with data-driven methods like process mining, it is hard to distinguish workarounds from related, yet distinct, concepts. The SWORD framework constitutes a state-of-the-art method for the data-driven detection of workarounds in business process event logs based on pre-defined patterns extracted from support processes in the healthcare domain. However, currently, SWORD has solely been applied to highly standardized processes with low variation and knowledge intensity, while it can be assumed that workarounds more often appear in the latter and also bear bigger potential for innovating processes. Furthermore, SWORD neither comprises data preparation steps nor enables the analysis of workarounds and their implications for the organization. In this paper, we develop an exaptation of the existing SWORD framework, coined LongSWORD, together with two industrial case organizations. Our contribution to theory and practice is threefold. First, we present a framework that enables the preparation of a meaningful event log in alignment with according process model or routine. Second, the detection and analysis of workarounds in core industrial processes is enabled by adding two new cross-case patterns. Third, the LongSWORD method enables others to assess the implications of workarounds beyond its individual implementers.

关键词： Workarounds Workaround Detection Process Science Causal Inference

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Graph Neural Networks for PPM: Review and Benchmark for Next Activity Predictions 22nd

Graph Neural Networks for PPM: Review and Benchmark for Next...

引用

22nd International Conference on business Process Management (BPM)

作者： Dissegna, Sebastiano Di Francescomarino, Chiara Univ Trento Dept Comp Sci Engn Trento Italy

ISBN: (纸本)9783031786655;9783031786662

Predictive Process Monitoring (PPM) is a subfield of Process Mining, which focuses on using Machine Learning (ML) methods to predict the future of an ongoing execution based on its early stages. Predictions provided by PPM approaches include the time remaining until the end of the process execution, the next event activity to be performed, or the overall outcome of the execution trace. While different machine and deep learning methods have been leveraged in the literature of PPM, in recent years, Graph Neural Networks (GNNs) have emerged as a new type of neural network and have been leveraged by few approaches in PPM. GNN models offer the advantage of working with a more natural representation of a trace prefix, allowing more expressive and semantically rich encodings. In this paper, we review three GNNs-based approaches from the PPM literature and we compare them with state-of-the-art approaches on the task of next activity prediction. The results show that GNNs are able to achieve an accuracy gain of more than 10% with respect to traditional approaches for some datasets, thus making them a promising solution in PPM.

关键词： Graph Neural Network Predictive Process Mining Next activity predictions

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Exploring Diversity-Driven Power Dynamics in Software Engineering Environments: Insights from a Qualitative Study 1

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15th International Conference on Software business-ICSOB-Annual

作者： Tsilionis, Konstantinos Stoels, Jesse Wautelet, Yves Eindhoven Univ Technol Eindhoven Netherlands Katholieke Univ Leuven Leuven Belgium

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

The presence of gender inequality in working environments is linked to broader societal issues, such as impediments to democratization and economic growth, affecting both developing and developed countries. In the Software Engineering (SE) field, gender imbalances seem to persist. While extensive research exists on the causes of these gender-based disparities, there is a notable gap in studies exploring how gender intersects with other diversity factors, particularly race, which may intensify discriminatory behaviors in the workplace. This paper investigates whether gender and racial diversity in certain educational and work environments drives the manifestation of power-mediated behaviors (i.e., influencing actions and goals or reshaping personal beliefs) within SE roles. We conducted semi-structured interviews with students in SE-related programs and professionals working in SE roles in Belgium to explore their perceptions of gender and racial diversity within their academic and professional environments. Utilizing an abductive research approach, we applied open, axial, and selective coding to structure the interview data. Our analysis aimed to identify key thematic maps (termed 'code-trees') and integrate them with a specific power-exertion framework. This exercise led us to derive specific interpretations (inferences) that illustrate how diversity influences and is influenced by power dynamics in SE environments. These interpretations can inform policy recommendations to foster equity, inclusivity, and representation in such environments. Our results demonstrate that power-exerting behaviors are primarily triggered by the presence of gender minorities, who experience discrimination in both study and work environments. In contrast, racial diversity does not appear to be consistently linked to coercive behaviors.

关键词： Diversity Dynamics Gender Inequality Racial Discrimination Power Dynamics Software Engineering

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Visualizing Routine Dynamics in Outpatient Medical Clinics with Topological Data Analysis 22nd

Visualizing Routine Dynamics in Outpatient Medical Clinics w...

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22nd International Conference on business Process Management (BPM)

作者： Zhang, Li Wolf, Julie Ryan Pentland, Alice P. Pentland, Brian T. Michigan State Univ Eli Broad Coll Business E Lansing MI 48824 USA Univ Rochester Sch Med & Dent Rochester NY 14642 USA

ISBN: (纸本)9783031786655;9783031786662

We demonstrate the use of topological data analysis (TDA) to visualize the dynamics of organizational routines in outpatient medical clinics over the course of the COVID-19 pandemic. We use Electronic Health Record audit trail data from January 2020 to December 2021 to visualize changes in routines in outpatient clinics in four different medical specialties. By representing the pattern of action each day in each clinic as a weighted, directed graph, we see that some clinics bounced between several distinct patterns of action over the two year period. In contrast, other clinics never bounced back to the pre-COVID pattern of action. In all of the clinics, we see evidence of temporal auto-correlation: the pattern of action on any given day is similar to the pattern of action on days that are close in time. Because it can capture recurrence of action patterns that might be widely separated in time, TDA offers a substantial advance in the state of the art for visualizing the dynamics of organizational routines.

关键词： Drift Change COVID-19 Pandemic Electronic Health Records Routine dynamics

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npmSECO: A Tool for Integrating Trust into the Software Ecosystem 1

引用

15th International Conference on Software business-ICSOB-Annual

作者： Hou, Fang Temelko, Angel Voordouw, Martijn Univ Utrecht Utrecht Netherlands

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

Selecting software packages is challenging due to the multitude of trust factors involved, such as functionality, compatibility, security, or maintenance, which often requires comprehensive analysis and cross-referencing. Additionally, the tons of software packages and their dependencies can overwhelm decision-makers, leading to potential oversights and inefficiencies in the selection process for critical vulnerabilities. This paper introduces npmSECO, an open-source initiative designed to evaluate the trust and security of software packages before and after installation. We infuse trust data, including trust factors and scores, into a package ecosystem - npm, which is well known for its vulnerabilities and extensive dependency tree to create a more secure environment for software engineers to produce software in. Trust scores and factors are displayed in the command line interface, helping software engineers access rich information for software evaluation in one place before the package installation. We conducted 20 interviews with software engineers to assess this tool. Preliminary feedback indicates that npmSECO offers a high level of usability.

关键词： Software Ecosystem Software Package Package Evaluation Software trust

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TrustOps: Continuously Building Trustworthy Software 2nd

TrustOps: Continuously Building Trustworthy Software

引用

28th International Conference on Enterprise Design Operations and Computing

作者： Brito, Eduardo Castillo, Fernando Pullonen-Raudvere, Pille Werner, Sebastian Cybernetica AS Estonia Maealuse 2-1 EE-12618 Tallinn Estonia TU Berlin Informat Syst Engn Einsteinufer 17 Berlin Germany

ISBN: (纸本)9783031790584;9783031790591

Software services play a crucial role in daily life, with automated actions determining access to resources and information. Trusting service providers to perform these actions fairly and accurately is essential, yet challenging for users to verify. Even with publicly available codebases, the rapid pace of development and the complexity of modern deployments hinder the understanding and evaluation of service actions, including for experts. Hence, current trust models rely heavily on the assumption that service providers follow best practices and adhere to laws and regulations, which is increasingly impractical and risky, leading to undetected flaws and data leaks. In this paper, we argue that gathering verifiable evidence during software development and operations is needed for creating a new trust model. Therefore, we present TrustOps, an approach for continuously collecting verifiable evidence in all phases of the software life cycle, relying on and combining already existing tools and trust-enhancing technologies to do so. For this, we introduce the adaptable core principles of TrustOps and provide a roadmap for future research and development.

关键词： trustworthy software continuous software engineering evidence-based life cycle

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Exploring the Factors that Impact the Half-Life of Software 1

引用

15th International Conference on Software business-ICSOB-Annual

作者： Wnuk, Krzysztof Harrer, Theresia Tomaszewski, Piotr Zabardast, Ehsan Blekinge Inst Technol Karlskrona Sweden RISE Res Inst Sweden Lund Sweden Hanken Sch Econ Helsinki Finland

ISBN: (数字)9783031858499

ISBN: (纸本)9783031858482;9783031858499

This vision paper explores the factors that impact the aging and depreciation of software. Based on the exploration of related work in software aging, software anti-aging, the financial aspect of technical debt and accounting of intangible assets, we postulate that a more holistic approach towards obsolescence should be taken as most research focuses solely on the technical aspects of software aging, leaving the business and accounting aspects greatly unexplored.

关键词： software aging software half-life software technical debt

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Study on the Path of Enhancing Agricultural Insurance Consumption in the Context of Digital Innovation Through fsQCA Method 1

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23rd Wuhan International Conference on E-business (WHICEB)

作者： Guo, Shuhang Yang, Jiapeng Cent Univ Finance & Econ Sch Informat Beijing 102200 Peoples R China

ISBN: (数字)9783031602603

ISBN: (纸本)9783031602597;9783031602603

The current demand for agricultural insurance is insufficient and of low quality. And in the current context of digital innovation, a new market ecology has been created, alleviating the original problems of information asymmetry, low financial availability and high transaction costs. It provides new opportunities to increase consumption of agricultural insurance. To address the question of what combination of conditions can increase agricultural insurance consumption, we focus on six influencing factors of agricultural insurance consumption. The fuzzy set qualitative comparative analysis method is used to identify the group state paths that promote the increase of agricultural insurance consumption in the context of digital innovation. Through configuration analysis, wederive three paths to increase agricultural insurance consumption: autonomy-driven, internally and externally driven, and externally technology-assisted. On this basis, we then put forward relevant policy recommendations with a view to protecting the healthy development of the agricultural economy by increasing agricultural insurance consumption.

关键词： Digital Innovation Agricultural Insurance Consumption Configuration Analysis

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Analysis of the Strengths of Process Mining Techniques in the Optimization of Logistics Processes 14th

Analysis of the Strengths of Process Mining Techniques in th...

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14th International Symposium on business Modeling and Software Design (BMSD)

作者： Dolak, Radim Halaska, Michal Chmelicek, Jakub Silesian Univ Opava Sch Business Adm Karvina Karvina 73340 Czech Republic Co TP Ostrava 70900 Czech Republic

ISBN: (纸本)9783031640728;9783031640735

The paper analyzes the adequacy and strengths of Process Mining techniques for logistics process optimization. The theoretical part of the paper will mention the main benefits of utilizing Process Mining techniques for logistics processes. In this, we refer to related work and analyze theoretical aspects concerning ProcessMining techniques in general and their utilization for logistics processes. The practical part will be in the form of a case study. It will describe all necessary steps of Process Mining, such as the acquisition of data, preparing dataset, importing and analyzing data from a logistics software tool. The primary goal is to use Process Mining software based on the Disco tool to identify flaws and potentially improper operations in the chosen logistics process.

关键词： Process Mining Logistics BPM

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