2023 IEEE 25th Conference on Business Informatics (CBI)最新文献

The Current State of Security Governance and Compliance in Large-Scale Agile Development: A Systematic Literature Review and Interview Study 大规模敏捷开发中安全治理和遵从性的现状:系统的文献综述和访谈研究

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/CBI58679.2023.10187439

Sascha Nägele, Nathalie Schenk, F. Matthes

{"title":"The Current State of Security Governance and Compliance in Large-Scale Agile Development: A Systematic Literature Review and Interview Study","authors":"Sascha Nägele, Nathalie Schenk, F. Matthes","doi":"10.1109/CBI58679.2023.10187439","DOIUrl":"https://doi.org/10.1109/CBI58679.2023.10187439","url":null,"abstract":"Agile methodologies have gained popularity in software and information systems engineering due to their ability to enable rapid adaption to changing requirements and ensure business value creation in fast-paced environments. However, scaling agile to multiple teams presents challenges related to security governance and compliance. Traditional security activities struggle to keep pace with iterative agile methods. The tension between security and agility intensifies in scaled environments as governance and compliance procedures conflict with the desired autonomy of agile teams. With the increase in the number and complexity of security risks, it is imperative to better understand the current challenges and solution approaches for security governance in large-scale agile development (LSAD). To this end, we conducted a systematic literature review and an interview study involving nine industry experts. We identified 15 relevant challenges and analyzed existing LSAD frameworks concerning their solution approaches for achieving security governance and compliance. In addition, we contribute an overview of alternative solution approaches and propose five factors to balance control and autonomy to mitigate security challenges in LSAD. Our findings provide a foundation for developing well-grounded solution artifacts that address the identified challenges,","PeriodicalId":263266,"journal":{"name":"2023 IEEE 25th Conference on Business Informatics (CBI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125305410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent service for monitoring the activities of an employee of an organization 用于监视组织中员工活动的智能服务

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/CBI58679.2023.10187419

D. Nazarov, A. Nazarov

{"title":"Intelligent service for monitoring the activities of an employee of an organization","authors":"D. Nazarov, A. Nazarov","doi":"10.1109/CBI58679.2023.10187419","DOIUrl":"https://doi.org/10.1109/CBI58679.2023.10187419","url":null,"abstract":"This article presents an architecture for an intelligent service aimed at monitoring employee working hours in an organization. The proposed architecture is flexible, scalable, and secure, offering tools for in-depth analysis of employee activities to identify areas for improvement and optimization. By implementing this architecture, organizations can effectively track employee working hours, identify inefficient use of work time, and uncover problem areas, ultimately leading to increased productivity, cost reduction, and an improved work environment. The intelligent service modules described function as a powerful tool for workflow optimization and enhanced employee productivity. The developed client application, “Screenshot of the Employee's Computer Screen,” facilitates automatic data collection from employee workstations, providing ample information for activity analysis. This data is then processed using an intelligent model to assess work productivity accurately and identify potential problems or areas for improvement. The article also discusses the implementation of an ETL process in the first version of the model for processing data from screenshots and the Development of a function that establishes a correspondence between the got and reference set of keywords. Overall, the intelligent service for monitoring employee working hours promises to automate personnel management processes, enhance work time data accuracy and reliability, and promote more efficient use of company resources.","PeriodicalId":263266,"journal":{"name":"2023 IEEE 25th Conference on Business Informatics (CBI)","volume":"31 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130443541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards a contextual model of software engineering capabilities: Factors affecting team performance 迈向软件工程能力的上下文模型:影响团队绩效的因素

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/CBI58679.2023.10187552

O. Plant, J. Hillegersberg, Adina Aldea

{"title":"Towards a contextual model of software engineering capabilities: Factors affecting team performance","authors":"O. Plant, J. Hillegersberg, Adina Aldea","doi":"10.1109/CBI58679.2023.10187552","DOIUrl":"https://doi.org/10.1109/CBI58679.2023.10187552","url":null,"abstract":"A prevalent research stream in the information systems domain is founded on the rationale that organizations need to establish and manage specific IT capabilities to achieve competitive advantage. More recently, research efforts have shifted from investigating organizational-level capabilities towards identifying team capabilities in order to support modern approaches to software engineering. The research at hand aims to identify contextual factors which influence these software engineering capabilities required by teams to achieve superior performance. To this end, we adopt a mixed-methods approach conducting a tertiary study and an empirical research component involving six domain experts. The tertiary study results in a taxonomy of 56 contextual factors which are then reduced and validated with regards to their relevance to software engineering teams through a Q-Sort ranking exercise and a subsequent focus group session. This results in a subset of 15 items which together form a contextual model of software engineering team capabilities along the dimensions technology, organization and environment. The paper discusses the mature research stream on information systems context in the new light of modern software engineering approaches. The resulting contextual model is of value to researchers and practitioners when analyzing their team context and deciding in which capabilities to invest.","PeriodicalId":263266,"journal":{"name":"2023 IEEE 25th Conference on Business Informatics (CBI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130859011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digitalization in the Construction Industry: The Case of Documentation and Invoicing in Tunneling 建筑行业的数字化:隧道工程中的文件和发票案例

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/CBI58679.2023.10187588

O. Melnyk, Marco Huymajer, C. Huemer, R. Galler

引用次数: 0

Data-Driven Customization of Object Lifecycle Processes 对象生命周期过程的数据驱动定制

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/CBI58679.2023.10187572

Marius Breitmayer, L. Arnold, M. Reichert

{"title":"Data-Driven Customization of Object Lifecycle Processes","authors":"Marius Breitmayer, L. Arnold, M. Reichert","doi":"10.1109/CBI58679.2023.10187572","DOIUrl":"https://doi.org/10.1109/CBI58679.2023.10187572","url":null,"abstract":"Object-aware processes are capable of automatically generating data-driven forms based on pre-specified object lifecycle processes. Thereby, lifecycle process states correspond to user forms, which comprise the object attributes required to complete the form and to transition to the next process state. The pre-specified flow logic of the steps within a state (i.e., the order in which object attributes shall be written), in turn, determines how the corresponding form is organized and how users are guided in filling the form fields. In practice, however, the order in which users interact with form fields is often user-specific. Even if the pre-specified logic of steps is perceived as intuitive by certain users, others may prefer filling the form in a different order. Although this flexibility constitutes a built-in feature of object lifecycle processes, any guidance not fully matching the mental model of a specific user decreases usability and increases mental effort. By learning from the previous interactions a particular user has had with an object-aware process, the presented approach aims at the data-driven customization of lifecycle processes and corresponding user forms. In particular, the approach enables the data-driven customization of forms for users frequently deviating from the standard guidance based on the adaptions automatically derived for the corresponding lifecycle processes. This enables valuable self-adaptions for both lifecycle processes and process-aware information systems in general.","PeriodicalId":263266,"journal":{"name":"2023 IEEE 25th Conference on Business Informatics (CBI)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133756853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Keynotes & Invited speech 主题演讲和特邀演讲

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/cbi58679.2023.10187490

引用次数: 0

A study of the impact of implementation of smart contracts in the sharing economy 智能合约在共享经济中实施的影响研究

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/CBI58679.2023.10187204

Mikhail B. Vialtsev, Mikhail M. Komarov

引用次数: 0

Modeling Competence Framework Elements with an Ontology-based Approach 基于本体的能力框架元素建模方法

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/CBI58679.2023.10187498

R. Calhau, S. Kokkula, David Cameron, G. Guizzardi, João Paulo A. Almeida

引用次数: 0

Awareness of the consequences of right-skewed effort and productivity distributions in software development 意识到软件开发中右倾的努力和生产力分布的后果

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/CBI58679.2023.10187494

M. Jørgensen

{"title":"Awareness of the consequences of right-skewed effort and productivity distributions in software development","authors":"M. Jørgensen","doi":"10.1109/CBI58679.2023.10187494","DOIUrl":"https://doi.org/10.1109/CBI58679.2023.10187494","url":null,"abstract":"The available evidence suggests that many characteristics of software development are not symmetrically distributed but follow a right-skewed distribution, meaning that their value distributions have a long tail toward higher values. This right-skew may have important consequences for the effective management of software development work. In this paper, we focus on two right-skewed distributions relevant to software management processes, i.e., the right-skewed distributions of software development effort usage and productivity, and software professionals' awareness of important consequences of the right-skew. Our analysis, which is based on data from four empirical studies with software professionals, reveals that although most software professionals are aware of the right-skew of these two distributions, they may not fully appreciate several of the important management consequences of it. This includes its consequences for the communication of effort estimates, for the use of correct methods for adding effort estimates, and for team productivity. We argue that increasing the awareness of the management consequences of right-skewed distributions among software professionals may play a role in the improvement of software development management.","PeriodicalId":263266,"journal":{"name":"2023 IEEE 25th Conference on Business Informatics (CBI)","volume":"572 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133092458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semantically consistent transformation of behavioral and structural models 行为和结构模型的语义一致转换

2023 IEEE 25th Conference on Business Informatics (CBI) Pub Date : 2023-06-21 DOI: 10.1109/CBI58679.2023.10187590

Tarek Skouti

引用次数: 0