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57th Hawaii International Conference on System Sciences (HICSS)

作者： Bruhin, Olivia Dickhaut, Ernestine Elshan, Edona Li, Mahei Manhai Univ St Gallen St Gallen Switzerland Univ Kassel Kassel Germany

ISBN: (纸本)9780998133171

This study investigates the relationship between Generative AI (GenAI) and low code development Platforms (LCDPs), providing preliminary insights into Gen's transformative potential in this context. It is based on expert interviews and provides insight into the changing landscape of LCDPs influenced by GenAI. The findings highlight the promising benefits of GenAI in LCDPs, such as increased efficiency and decreased errors, while also emphasizing the importance of human oversight and collaboration. The findings also highlight the importance of interpersonal skills in IT, even in an increasingly automated environment. While the economic efficiency and broader implications of GenAI are still being investigated, the study lays the groundwork for future research in this rapidly evolving domain.

关键词： Generative AI low code development Research Directions

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Towards lowDevSecOps Framework for low-code development* Integrating Process-Oriented Recommendations for Security Risk Management 24

Towards LowDevSecOps Framework for Low-Code Development* Int...

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ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (MODELS)

作者： Sedrakyan, Gayane Iacob, Maria-Eugenia Hillegersberg, Jos Univ Twente Dept High Tech Business & Entrepreneurship Enschede Netherlands

ISBN: (纸本)9798400706226

The increasing demand for software solutions in the coming years will surpass the availability of IT talent, driving interest in citizen development and low-code approaches. However, the lack of technical insight among citizen developers poses potential security risks. This research aims to support businesses adopting citizen development by providing a framework that helps to proactively identify security risks by also linking them to specific actors and tools needed during the system design and development process to mitigate those risks. Additionally, this framework helps to address knowledge gaps by outlining actionable steps to ensure secure low-code development practices. The research aims to answer the question: "How can contextual information be modeled in low-code platforms to proactively identify and address security-related issues, acting as a virtual mentor for citizen / low-code developers?". To answer this question, our research conceptualizes security risks from established frameworks and operational security methodologies into a practical framework that allows mapping security risks to the context of low-code development. This framework serves as a foundational platform for designing and integrating active process-oriented guidance within low-code platforms using model-based automated prompts. This approach additionally aligns with DevSecOps principles that allows enhancing the capacity for low-code approach and citizen development in areas that currently may include manual coding and integrations.

关键词： low code development Modeling Recommenders Security DevOps DevSecOps

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Multitenancy in Single Instance of Data Persistence Service for Supporting low-code Platforms

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IEEE ACCESS 2025年 13卷 13427-13439页

作者： Costa, Julio Gustavo Goncalves, Luiz Marcos Garcia Xavier-de-Souza, Samuel Univ Fed Rio Grande do Norte Programa Posgrad Engn Elect & Comp BR-59078970 Natal RN Brazil Univ Fed Rio Grande do Norte Dept Engn Comp & Automacao BR-59078970 Natal RN Brazil

Corporate digitalization, especially among Small and Medium Enterprises, has led to a significant increase in the demand for scarce professionals with expertise in the IT area, especially in Web Information Systems area. On the other hand, concerns about high levels of resource idleness in the cloud are constant. In this scenario, low-code Platforms have gained traction in the software industry, whose most commonly found service is the automation of code generation to perform data persistence tasks driven by data models. This approach, however, implies a mode of operation that is not the most mature among cloud computing providers, implying for each model a service instance running on the provider side. Here, we propose a data persistence service for these platforms that avoids code generation, since it interprets data models at runtime and operates in multi-tenant mode with a single service instance. This approach improves resource sharing, mitigating resource idleness within the platform. In addition, we present experiments to support the technical feasibility of the proposed approach. The proposed solution offers an alternative to code generation methods, with the potential to optimize resource utilization while preserving the flexibility to adapt to changes in data models as business needs evolve.

关键词： Data models Unified modeling language Load modeling Databases Business Software systems Runtime Computational modeling codes Transformers Model driven engineering low code development model interpretation multi-tenancy single instance separation of concerns

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LLM4Workflow: An LLM-based Automated Workflow Model Generation Tool 24

LLM4Workflow: An LLM-based Automated Workflow Model Generati...

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39th ACM/IEEE International Conference on Automated Software Engineering (ASE)

作者： Xu, Jia Du, Weilin Liu, Xiao Li, Xuejun Anhui Univ Anhui Prov Int Joint Res Ctr Adv Technol Med Imag Sch Comp Sci & Technol Hefei Peoples R China Anhui Univ Sch Internet Hefei Peoples R China Deakin Univ Sch Informat Technol Geelong Vic Australia

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

Workflows are pervasive in software systems where business processes and scientific methods are implemented as workflow models to achieve automated process execution. However, despite the benefit of no/low-code workflow automation, creating workflow models requires in-depth domain knowledge and non-trivial workflow modeling skills, which becomes a hurdle for the proliferation of workflow applications. Recently, Large language models (LLMs) have been widely applied in software code generation given their outstanding ability to understand complex instructions and generate accurate, context-aware code. Inspired by the success of LLMs in code generation, this paper aims to investigate how to use LLMs to automate workflow model generation. We present LLM4Workflow, an LLM-based automated workflow model generation tool. Using workflow descriptions as the input, LLM4Workflow can automatically embed relevant API knowledge and leverage LLM's powerful contextual learning abilities to generate correct and executable workflow models. Its effectiveness was validated through functional verification and simulation tests on a real-world workflow system. LLM4Workflow is open sourced at https://***/ISEC-AHU/LLM4Workflow, and the demo video is provided at https://***/XRQ0saKkuxY.

关键词： Automated Workflow Model Generation Large Language Models low code development

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low code Conversation-based Hybrid UI Design Case Study and Reflection 11

Low Code Conversation-based Hybrid UI Design Case Study and ...

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11th International Symposium of Chinese CHI (Chinese CHI)

作者： Liu, Yunxing Yang, Bin Lee, Minha Martens, Jean-Bernard Eindhoven Univ Technol Eindhoven Netherlands Jiangnan Univ Wuxi Jiangsu Peoples R China

ISBN: (纸本)9798400716454

This paper presents a comprehensive case study on the Q-Survey, a chatbot-based qualitative survey tool developed using the Double-Diamond design process. The study delves into the intricacies of balancing user experience (UX) with technical challenges inherent in chatbot development. A significant focus is placed on the role of low code (LC) and No code (NC) tools in facilitating rapid prototype development and testing. While these tools offer agility and ease in the early stages, their limitations become evident as the complexity of the system grows, prompting a reflection on their continued utility in advanced development stages. The Repertory Grid Technique (RGT) is explored as a potential tool for online qualitative surveys, with discussions on its complexity and the potential enhancements using advanced Natural Language Processing (NLP) tools. Through the lens of the Q-Survey and experts' evaluation of this case, we discuss the broader implications of LC tools in Human-Computer Interaction (HCI) design, emphasizing the need for a structured framework for HCI design with LC. The study concludes with reflections on the current design, potential future directions, and the importance of continuous exploration of LC, especially in the realm of LLMs and coding tools based on LLMs.

关键词： low code development CUI Chatbot Repertory Grid Tool

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low code Conversation-based Hybrid UI Design Case Study and Reflection 23

Low Code Conversation-based Hybrid UI Design Case Study and ...

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Proceedings of the Eleventh International Symposium of Chinese CHI

作者： Yunxing Liu Minha Lee Bin Yang Jean-Bernard Martens Industrial Design Technical University of Eindhoven Netherlands HTI Technical University of Eindhoven Netherlands Jiangnan University School of Design China

ISBN: (纸本)9798400716454

This paper presents a comprehensive case study on the Q-Survey, a chatbot-based qualitative survey tool developed using the Double-Diamond design process. The study delves into the intricacies of balancing user experience (UX) with technical challenges inherent in chatbot development. A significant focus is placed on the role of low code (LC) and No code (NC) tools in facilitating rapid prototype development and testing. While these tools offer agility and ease in the early stages, their limitations become evident as the complexity of the system grows, prompting a reflection on their continued utility in advanced development stages. The Repertory Grid Technique (RGT) is explored as a potential tool for online qualitative surveys, with discussions on its complexity and the potential enhancements using advanced Natural Language Processing (NLP) tools. Through the lens of the Q-Survey and experts’ evaluation of this case, we discuss the broader implications of LC tools in Human-Computer Interaction (HCI) design, emphasizing the need for a structured framework for HCI design with LC. The study concludes with reflections on the current design, potential future directions, and the importance of continuous exploration of LC, especially in the realm of LLMs and coding tools based on LLMs.

关键词： CUI Chatbot low code development Repertory Grid Tool.

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BPMN and DMN for Easy Customizing of Manufacturing Execution Systems

BPMN and DMN for Easy Customizing of Manufacturing Execution...

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Blockchain Forum / Central and Eastern Europe Forum (CEE Forum) / 17th International Conference on Business Process Management (BPM)

作者： Peinl, Rene Perak, Ornella Hof Univ Appl Sci Inst Informat Syst Alfons Goppel Pl 1 D-95028 Hof Germany

ISBN: (纸本)9783030374532;9783030374525

Manufacturing execution systems (MES) are the central integration point for the shop floor. They collect information about customer orders from ERP systems (enterprise resource planning), calculate the best plans for production orders and their assignment to machines and monitor the execution of these plans. It is therefore also the central data hub on the shop floor and communicates progress back to the ERP system. However, each company and production facility is a bit different and it is a hard decision to find a good compromise between standard products with a long customization period, industry-specific solutions with less customization need and company-specific solutions with long development times. This paper proposes the use of business process management (BPM) as a means for easy graphical customization of production processes that lead to immediately executable workflows (zero code development) or need very few code additions to get executable (low code development).

关键词： Manufacturing execution system Customization Business process management Decision table low code development

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