Relevant bibliographies by topics / No-Code/Low-Code Platforms

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'No-Code/Low-Code Platforms'

Author: Grafiati
Published: 7 June 2025
Last updated: 26 June 2025

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Journal articles on the topic "No-Code/Low-Code Platforms"

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Korada, Laxminarayana. "Low Code/No Code Application Development - Opportunity and Challenges for Enterprises." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 11 (2022): 209–18. http://dx.doi.org/10.17762/ijritcc.v10i11.11038.

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Low-code and no-code (LCNC) application development platforms signify a major shift in software creation and deployment strategies. This paper investigates the opportunities and challenges presented by LCNC platforms for enterprises. Historically, organizations have had to choose between developing custom solutions internally or purchasing off-the-shelf systems, each with its own set of advantages and drawbacks. LCNC platforms introduce a novel approach by facilitating rapid, cost-effective, and user-friendly application development with minimal coding expertise. This study explores the features of LCNC platforms, their adoption by hyperscalers, and their implications for traditional software engineering roles. It also examines the benefits and limitations of popular LCNC solutions, such as Microsoft Power Platform, and discusses their impact on industry practices. This paper concludes with a forward-looking perspective on the development of LCNC technology, underscoring its role in driving digital transformation and fostering innovation.
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Слотвицкая, А. А., Б. В. Мартынов, and Е. С. Прокопенко. "THE PROSPECTS AND EFFICIENCY OF NO-CODE AND LOW-CODE PLATFORMS FOR BUSINESS AUTOMATION." Proceedings in Cybernetics 23, no. 2 (2024): 71–75. http://dx.doi.org/10.35266/1999-7604-2024-2-9.

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In recent years, there has been a growing interest in no-code automation tools for business processes in the IT industry. Over the last fi ve years, investments in no-code platforms have crossed one billion dollars. The study focuses on the analysis of these technologies in the context of small and large businesses. However, the issue of replacing traditional development remains. The study aims to determine who benefits from using no-code and who benefi ts from traditional evelopment. The research is relevant since companies have limited resources. Methods include effi ciency analysis and comparison of implementation results. The advantages of no-code include speed, cost, and low risks, but it is dependent on the software solution and requires programming skills. The study calls for a balance between the use of no-code and traditional development to maximize benefi ts. Based on the research, it is established that no-code and low-code development are less effective without traditional programming and will be more effective for implementation in companies that already have a team of IT specialists.
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Pydde, Jan Philipp, Robin Dominic Ziegler, and Arthur Mezger. "Low-Code/No-Code erfolgreich implementieren/Successful implementation of low-code/no-code apps – Success factors for the implementation of low-code/no-code platforms in companies." wt Werkstattstechnik online 115, no. 03 (2025): 132–40. https://doi.org/10.37544/1436-4980-2025-03-14.

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Unternehmen müssen sich durch die digitale Transformation flexibel anpassen. Low Code/No Code (LCNC) bietet hierfür eine Lösung, indem es die Softwareentwicklung vereinfacht. Diese Arbeit identifiziert Erfolgsfaktoren für die Implementierung von LCNC-Lösungen in produzierenden Unternehmen. Die Literatur wird in Mensch, Technologie, Organisation und Aufgabe kategorisiert. Ein Prisma-basierter, systematischer Literaturreview dient der Analyse, um einen Leitfaden für die Implementierung von LCNC-Lösungen zu erstellen.
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Sufi, Fahim. "Algorithms in Low-Code-No-Code for Research Applications: A Practical Review." Algorithms 16, no. 2 (2023): 108. http://dx.doi.org/10.3390/a16020108.

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Algorithms have evolved from machine code to low-code-no-code (LCNC) in the past 20 years. Observing the growth of LCNC-based algorithm development, the CEO of GitHub mentioned that the future of coding is no coding at all. This paper systematically reviewed several of the recent studies using mainstream LCNC platforms to understand the area of research, the LCNC platforms used within these studies, and the features of LCNC used for solving individual research questions. We identified 23 research works using LCNC platforms, such as SetXRM, the vf-OS platform, Aure-BPM, CRISP-DM, and Microsoft Power Platform (MPP). About 61% of these existing studies resorted to MPP as their primary choice. The critical research problems solved by these research works were within the area of global news analysis, social media analysis, landslides, tornadoes, COVID-19, digitization of process, manufacturing, logistics, and software/app development. The main reasons identified for solving research problems with LCNC algorithms were as follows: (1) obtaining research data from multiple sources in complete automation; (2) generating artificial intelligence-driven insights without having to manually code them. In the course of describing this review, this paper also demonstrates a practical approach to implement a cyber-attack monitoring algorithm with the most popular LCNC platform.
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Das, Jitendra Kumar. "Low-code/No-code Development Empowering Non-Developers: A Study on the Rise of Low-Code Web Platforms." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 6695–98. https://doi.org/10.22214/ijraset.2025.71770.

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Abstract: The rapid evolution of digital technologies has catalyzed a significant shift in software development practices, paving the way for Low-Code and No-Code (LCNC) platforms that empower non-developers to participate in application creation. This study explores the growing adoption of LCNC web platforms, examining how they enable individuals without formal programming skills to build functional, scalable web applications. Through a mixed-methods approach involving case studies, platform analysis, and user interviews, the research identifies key drivers behind the rise of LCNC tools, such as reduced development time, lower costs, and enhanced accessibility. The paper also investigates the broader implications for organizations, including shifts in workforce dynamics, the democratization of innovation, and challenges related to scalability and governance. Ultimately, this study highlights the transformative potential of LCNC development in bridging the gap between technical and non-technical users, fostering a more inclusive digital innovation ecosystem.
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Sandhya, Rani Koppanathi. "Low-Code/No-Code Tools for Salesforce Integration Development." Journal of Scientific and Engineering Research 8, no. 6 (2021): 197–205. https://doi.org/10.5281/zenodo.13753044.

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Over the last couple of years, low-code/no-code development is gaining increased interest for its potential to speed up application creation with less direct coding. In specific, these platforms have experienced high value for merging advanced Customer Relationship Management (CRM) systems such as Salesforce that generally involve flawless communication with many third-party apps. This paper explores the use of Low-code no code tools for Salesforce Integration/Development, their features and advantages as well as caveats. This study aims to provide insights into how Low-code no code tools can actually help in improving Salesforce integration irrespective of whether the user has technical skills or not using various set of platforms available as of today. The results point to Low-code no code tools offering many benefits in terms of speed and ease of use, but also some limitations especially regarding complex integrations. The paper concludes with recommending future research and developments in this area.
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Balaji Bodicherla. "The Rise of Low-Code/No-Code Development: Democratizing Application Development." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 171–78. https://doi.org/10.32628/cseit251112398.

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The emergence of low-code and no-code development platforms has fundamentally transformed the software development landscape, offering organizations innovative approaches to application development. These platforms have significantly impacted various sectors, from large enterprises to small and medium-sized businesses, particularly in accelerating digital transformation initiatives. Adopting these platforms has shown remarkable benefits in terms of development efficiency, cost reduction, and business agility while presenting important considerations regarding governance, security, and technical limitations. As organizations increasingly embrace these technologies, the market has shown substantial growth, driven by the demand for rapid application development and business process automation, with cloud-based deployments becoming the preferred choice for implementation.
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ИВАНОВ, Ф. Д., and М. О. ПЕТРАКОВ. "ANALYSIS OF NO-CODE AND LOW-CODE PLATFORMS AS A TOOL TO ACCELERATE THE DIGITAL TRANSFORMATION PROCESSES OF LARGE COMPANIES." Экономика и предпринимательство, no. 7(156) (September 20, 2023): 1240–47. http://dx.doi.org/10.34925/eip.2023.156.7.223.

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В статье представлены результаты анализа no-code и low-code платформ в качестве инструмента ускорения процессов цифровой трансформации крупных компаний. Объектом данного исследования является инструменты программирования низкого и нулевого кода. Предметом исследования является воздействие инструментов низкого и нулевого кода на темп цифровой трансформации. The article presents the results of the analysis of no-code and low-code platforms as a tool for accelerating the digital transformation processes of large companies. The object of this study is low and zero code programming tools. The subject of the study is the impact of low and zero code tools on the pace of digital transformation.
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Пальмов, С. В., М. П. Абашин та Н. А. Гулынин. "Low-code и no-code платформы в Российской Федерации". Innovative economy: information, analytics, forecasts, № 6 (16 грудня 2024): 107–14. https://doi.org/10.47576/2949-1894.2024.6.6.015.

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В статье рассматриваются преимущества и недостатки российских low-code и no-code платформ. На современном рынке подобных платформ представлено большое количество отраслевых решений от различных разработчиков, таких как «ELMA365», «BPMSoft», НПЦ «БизнесАвтоматика», «Directum» и т. д. Главными преимуществами от использования low-code и no-code систем являются скорость внедрения и настройки, стоимость содержания. В качестве недостатков, выделенных представителями бизнеса, можно выделить недостаточную гибкость, ограничения в области безопасности и недостаток функциональных возможностей. This paper examines the advantages and limitations of Russian low-code and no-code platforms. The modern market offers numerous industry-specific solutions developed by companies such as ELMA365, BPMSoft, NPC Business Automation, and Directum, among others. Key benefits of adopting low-code and no-code systems include rapid deployment, ease of customization, and cost efficiency. However, business users highlight certain drawbacks, including limited flexibility, security constraints, and insufficient functional capabilities.
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Praveen Kumar Chakilam. "Democratizing enterprise integration: The emergence of low-code/no-code integration platforms." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 008–14. https://doi.org/10.30574/wjaets.2025.15.2.0492.

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Low-code/no-code (LC/NC) integration platforms are fundamentally transforming enterprise connectivity by democratizing integration capabilities previously restricted to specialized technical personnel. These platforms employ intuitive visual interfaces, pre-built connectors, and intelligent automation to abstract away technical complexity, enabling both business users and IT professionals to collaborate on integration solutions. The global market for these technologies is experiencing remarkable growth, projected to reach USD 13.7 billion by 2027 at 25.1% CAGR, reflecting their strategic importance. Organizations implementing low-code/no-code (LC/NC) integration solutions report dramatic improvements in development timelines, with projects completed up to 10 times faster than traditional approaches. This acceleration drives operational efficiencies across sectors, including healthcare, financial services, retail, and manufacturing, each benefiting from industry-specific integration capabilities. Despite compelling advantages, including enhanced businessIT collaboration, reduced operational costs, and increased process innovation, organizations must navigate challenges related to technical limitations, governance complexity, and potential vendor lock-in. By understanding both the transformative potential and inherent limitations of these platforms, organizations can develop effective implementation strategies that balance accessibility with enterprise-grade performance requirements.
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Dissertations / Theses on the topic "No-Code/Low-Code Platforms"

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Яворська, Христина Володимирівна, та Khrystyna Yavorska. "Методи і засоби проектування платформ “Low code/No code” в комп’ютерних системах". Master's thesis, Тернопільський національний технічний університет імені Івана Пулюя, 2021. http://elartu.tntu.edu.ua/handle/lib/36706.

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Кваліфікаційна робота присвячена питанню дослідження методів і засобів розробки середовища, яке допоможе швидше та доступніше створювати продукти. проведено аналіз середовищ LС/NC розробки та їх класифікацію. Також досліджено технології і засоби розробки проектування платформи і проаналізовано аналіз особливостей розробки програм. Запропоновано формалізацію об’єктів та процесів. Розроблено прототипи блоків а також описано арифметичні операції. Розроблено алгоримт роботи оператору if else і циклу for. Спроектовано та реалізовано Low code/No code платформу на основі визначених функціональних вимог, побудовано алгоритми роботи додатку і забезпечено його верифікацію шляхом різних видів тестування ПЗ.<br>Qualification work is devoted to the research of methods and tools of environmental development, which will help to create products faster and more accessible. the analysis of LC / NC development environments and their classification is carried out. The technologies and means of platform design development are also studied and the analysis of software development features is analyzed. Formalization of objects and processes is proposed. Prototypes of blocks are developed and arithmetic operations are described. An algorithm for the operation of the if else operator and the for loop has been developed. The Low code / No code platform was designed and implemented on the basis of certain functional requirements, algorithms of application operation were built and its verification was provided by various types of software testing.<br>ПЕРЕЛІК ОСНОВНИХ ПОЗНАЧЕНЬ І СКОРОЧЕНЬ 6 ВСТУП 7 РОЗДІЛ 1 АНАЛІЗ СУЧАСНОГО СТАНУ ДОСЛІДЖЕНЬ ПРИ ПРОЕКТУВАННІ NO CODE/LO CODE ПЛАТФОРМИ 10 1.1. Класифікація NC/LC платформ 10 1.2. Технології розробки 15 1.3. Аналіз особливостей NC/LC середовищ 18 1.4. Висновки до розділу 21 РОЗДІЛ 2 ФОРМАЛІЗАЦІЯ ОБ’ЄКТІВ ПЛАТФОРМИ 22 2.1. Особливості навчання користувачів 22 2.2. Формалізація об’єктів платформи low code/no code 29 2.2. Формалізація арифметичних операцій 30 2.3. формалізація операцій порівняння 32 2.4. формалізація оператору if else 33 2.5. формалізація циклу for 35 2.6. Висновки до розділу 38 РОЗДІЛ 3 РОЗРОБКА ТА ТЕСТУВАННЯ СЕРЕДОВИЩА 39 3.1. Визначення вимог 39 3.2. Проектування архітектури 43 3.3. Тестування мульти-інтерфейсного середовища 43 3.4. Висновки до розділу 54 РОЗДІЛ 4 ОХОРОНА ПРАЦІ ТА БЕЗПЕКА В НАДЗВИЧАЙНИХ СИТУАЦІЯХ 55 4.1. Охорона праці 55 4.2. Організація оповіщення і зв’язку у надзвичайних ситуаціях техногенного та природного характеру. 58 ВИСНОВКИ 62 ПЕРЕЛІК ВИКОРИСТАНИХ ДЖЕРЕЛ 63 Додаток А 65
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Schwarz, Oliver. "No Hypervisor Is an Island : System-wide Isolation Guarantees for Low Level Code." Doctoral thesis, KTH, Teoretisk datalogi, TCS, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192466.

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The times when malware was mostly written by curious teenagers are long gone. Nowadays, threats come from criminals, competitors, and government agencies. Some of them are very skilled and very targeted in their attacks. At the same time, our devices – for instance mobile phones and TVs – have become more complex, connected, and open for the execution of third-party software. Operating systems should separate untrusted software from confidential data and critical services. But their vulnerabilities often allow malware to break the separation and isolation they are designed to provide. To strengthen protection of select assets, security research has started to create complementary machinery such as security hypervisors and separation kernels, whose sole task is separation and isolation. The reduced size of these solutions allows for thorough inspection, both manual and automated. In some cases, formal methods are applied to create mathematical proofs on the security of these systems. The actual isolation solutions themselves are carefully analyzed and included software is often even verified on binary level. The role of other software and hardware for the overall system security has received less attention so far. The subject of this thesis is to shed light on these aspects, mainly on (i) unprivileged third-party code and its ability to influence security, (ii) peripheral devices with direct access to memory, and (iii) boot code and how we can selectively enable and disable isolation services without compromising security. The papers included in this thesis are both design and verification oriented, however, with an emphasis on the analysis of instruction set architectures. With the help of a theorem prover, we implemented various types of machinery for the automated information flow analysis of several processor architectures. The analysis is guaranteed to be both sound and accurate.<br>Förr skrevs skadlig mjukvara mest av nyfikna tonåringar. Idag är våra datorer under ständig hot från statliga organisationer, kriminella grupper, och kanske till och med våra affärskonkurrenter. Vissa besitter stor kompetens och kan utföra fokuserade attacker. Samtidigt har tekniken runtomkring oss (såsom mobiltelefoner och tv-apparater) blivit mer komplex, uppkopplad och öppen för att exekvera mjukvara från tredje part. Operativsystem borde egentligen isolera känslig data och kritiska tjänster från mjukvara som inte är trovärdig. Men deras sårbarheter gör det oftast möjligt för skadlig mjukvara att ta sig förbi operativsystemens säkerhetsmekanismer. Detta har lett till utveckling av kompletterande verktyg vars enda funktion är att förbättra isolering av utvalda känsliga resurser. Speciella virtualiseringsmjukvaror och separationskärnor är exempel på sådana verktyg. Eftersom sådana lösningar kan utvecklas med relativt liten källkod, är det möjligt att analysera dem noggrant, både manuellt och automatiskt. I några fall används formella metoder för att generera matematiska bevis på att systemet är säkert. Själva isoleringsmjukvaran är oftast utförligt verifierad, ibland till och med på assemblernivå. Dock så har andra komponenters påverkan på systemets säkerhet hittills fått mindre uppmärksamhet, både när det gäller hårdvara och annan mjukvara. Den här avhandlingen försöker belysa dessa aspekter, huvudsakligen (i) oprivilegierad kod från tredje part och hur den kan påverka säkerheten, (ii) periferienheter med direkt tillgång till minnet och (iii) startkoden, samt hur man kan aktivera och deaktivera isolationstjänster på ett säkert sätt utan att starta om systemet. Avhandlingen är baserad på sex tidigare publikationer som handlar om både design- och verifikationsaspekter, men mest om säkerhetsanalys av instruktionsuppsättningar. Baserat på en teorembevisare har vi utvecklat olika verktyg för den automatiska informationsflödesanalysen av processorer. Vi har använt dessa verktyg för att tydliggöra vilka register oprivilegierad mjukvara har tillgång till på ARM- och MIPS-maskiner. Denna analys är garanterad att vara både korrekt och precis. Så vitt vi vet är vi de första som har publicerat en lösning för automatisk analys och bevis av informationsflödesegenskaper i standardinstruktionsuppsättningar.<br><p>QC 20160919</p><br>PROSPER<br>HASPOC
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Book chapters on the topic "No-Code/Low-Code Platforms"

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Lebens, Mary, and Roger Finnegan. "Using a Low Code Development Environment to Teach the Agile Methodology." In Lecture Notes in Business Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78098-2_12.

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AbstractThe Agile development methodology is soaring in popularity in the business world. Companies are turning to Agile to develop products quickly and to achieve digital transformation of their organization. Because of this push, companies need employees who understand Agile. Therefore, higher education is obligated to provide an understanding of Agile to students as they enter the workplace. Providing Agile experience to students who are new to programming is difficult because they are so worried about the coding aspects of the assignment, they cannot take time to think about the methodology they are using. The coding crowds out the time needed to get an understanding of how Agile actually works. One remedy for this is to use a low or no-code development platform. With this type of platform students spend less time learning to create apps, freeing them to experience the rituals and roles of Agile. This study examines using the Agile methodology along with the Microsoft Power Apps platform to provide an Agile experience to students. Two course sections were surveyed to learn if students perceived that they acquired a better understanding of Agile and to learn their perceptions of a no-code platform experience. The students completed surveys to ascertain their comfort with the Agile methodology and whether the no-code environment increased their comfort level. The results showed students perceived the no-code platform increased their comfort with using the Agile methodology. The implication is that no-code platforms can be used broadly to help students to gain experience with Agile.
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Jaglan, Nisha, and Divya Upadhyay. "Decoding Low-Code/No-Code Development Hype—Study of Rapid Application Development Worthiness and Overview of Various Platforms." In Advances in Intelligent Systems and Computing. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0550-8_33.

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Li, LuYun, and ZhanWei Wu. "How Can No/Low Code Platforms Help End-Users Develop ML Applications? - A Systematic Review." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-21707-4_25.

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Xu, Da, Chao Sun, Guaiguai Liu, Jinting Bai, Yingjie Wang, and Mingjing Duan. "Design and Implementation of a Low-Code and No-Code Platform Applied in Meteorological Monitoring Service." In Advanced Intelligent Technologies for Information and Communication. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5203-8_21.

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O’Shea, Enda, Marco Krumrey, Daniel Sami Mitwalli, Sebastian Teumert, and Tiziana Margaria. "From Data Science to Modular Workflows Changing Perspectives from Data to Platform: DBDIrl 1864-1922 Case Study." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-73741-1_6.

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AbstractMany historical data collections foot on handwritten documents and registers, whose consultation is often very difficult due to the conservation state of the physical artefacts, and whose comprehension is also made difficult by the handwriting, difficult to interpret, and the language used, different from the modern terminology. Therefore significant research efforts by historians, demographers, population health scientists and others have been started in the past with the aim of making such data collections digitally available, first on the basis of images and then as readily available repositories of transcribed data in electronically queryable formats. For the purpose of extracting data from the Irish Civil registers of deaths in the DBDIrl 1864-1922 project (https://www.dbdirl.com), an AI-ML Data Analytics Pipeline was proposed as a working approach validated on a subset of the data. However, the pipeline requires manual steps and it is not applicable as is on similar datasets without significant modifications to its inner workings.We are currently transforming this prototyped, single purpose product to a modular, fully automated workflow, intended to be used and reconfigured for new data in a low-code/no-code fashion by domain experts like historians. We explain our adopted analysis and refactoring process, illustrate it on part of the pipeline, including how we faced obstacles and handled pitfalls. We also evaluate its potential to become a methodical approach to transforming an interactive program to a fully automated process, in a low-code/no-code workflow style, that can be easily reused, reconfigured and extended to be able to tailor it to other datasets as needed.
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Balamurugan, Ajeethra, Harshitha Anand Shetty, Karthikeyan Muthumani Sengunthar, and Manish Gupta. "Auditing Low-Code and No-Code Platforms Securing Citizen Development." In Advances in IT Standards and Standardization Research. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8766-2.ch003.

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Low-code and no-code applications are increasingly becoming the technology of choice for many professionals in the digital workplace. According to Gartner data, 70% of new apps built by enterprises will employ low-code or no-code technologies by 2025, up from less than 25% in 2020. The proliferation of these platforms is fueling the rise of citizen development. The objective of this chapter is to discuss briefly how they are different from our traditional software development and evaluate the risks, vulnerabilities, threats, and security concerns associated with auditing them. Also, after assessing these risks, the authors will identify controls that can be used to mitigate these risks. The key security concerns and proposed security measures to safeguard low-code/no-code platforms were analyzed using a systematic approach. The study concluded that, while these platforms provide several advantages, they also pose new security issues that must be addressed. The outcomes of this research can assist businesses in making educated decisions about employing low-code/no-code platforms.
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Stoops, Maaike, Pablo Alfonso Aguilar Calderón, and Óscar Manuel Peña Bañuelos. "The Democratization of Software Development and Design Thinking." In Innovative Design Thinking Approaches in Software Engineering. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9531-8.ch005.

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The ongoing democratization of software development, fueled by the proliferation of low-code/no-code platforms and AI-assisted tools, is fundamentally transforming the technological landscape by enabling non-technical citizen developers to create functional applications with minimal coding expertise. As organizations increasingly adopt these accessible development approaches to accelerate digital transformation, critical questions emerge regarding the potential erosion of established design principles, including user-centered methodologies and rigorous usability testing. This chapter systematically examines both the opportunities and challenges presented by this democratization movement, analyzing its impact on software quality, maintainability, and user experience. The discussion culminates in practical recommendations for balancing accessibility with excellence, ensuring that democratized software ecosystems produce solutions that are not only rapidly deployable but also robust, scalable, and genuinely user-centric in an increasingly competitive digital economy
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Yadav, Rohit, Gunjan Mohan Sharma, Thi T. Dang, and Narayanage Jayantha Dewasiri. "Analysis of RPA Development Tools." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-4365-4.ch009.

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This chapter examines the landscape of the development tools used in RPA. Analysis includes key functionalities, usability, integration capabilities, security, and cost structure among the development tools in question. With increased attention of organizations to embracing RPA as part of efforts to cut costs and seek digital transformation, their need-to-know what tools are available becomes critical. This chapter presents a review of popular RPA platforms-UiPath, Automation Anywhere, and Blue Prism-to compare their functionalities, licensing models, and scalability. However, it also throws up the future pattern of how automation tools will have artificial intelligence, low-code/no-code environments, and cloud-based solutions as part of them. Organizations looking forward to implementing RPA solutions are given recommendations that require introspection regarding need assessment, the prioritization of security, and information being sought in industry advancements.
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AlJadaan, Omar Turkey, Omnia Ibrahim Mohamed Ibrahim, Nowar Nizar Al Ani, Ahmad Omar Jabas, and Mahmoud Yousef Al Faress. "Artificial Intelligence and Machine Learning in Research and Development." In Evolving Landscapes of Research and Development. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7101-5.ch003.

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Artificial Intelligence (AI) and Machine Learning (ML) are rapidly changing the face of Research and Development (R&amp;D). This chapter deals with a profound review of the current status and future trends of AI and ML in R&amp;D. First of all, it gives an overview of huge investments and fast growth in AI, for instance, spending on AI systems worldwide is projected to reach as high as $110 billion by 2024. In the health sector, AI will potentially add up to $150 billion every year by 2026. The chapter highlights some of the most remarkable achievements in AI and ML, including transformer models like GPT-3 or Google's BERT, setting new benchmarks in natural language processing, low-code/no-code platforms democratize AI. Finally, the chapter asserts that AI and ML have the potential to transform R&amp;D while insinuating that such development should be responsible and ethical. In adopting collaborative and open approaches, the stakeholders could reap maximum benefits from AI technologies in boosting innovation and societal benefits across different industries.
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Keresztes, Éva Réka, Attila Bölcskei, and Zoltán Sándor. "Digitális készégek elemzése az üzleti felhőszolgáltatások alkalmazásában: Fókuszban a Microsoft Power platform üzleti megoldásai." In II. Csernyák László Konferencia Közleményei. Budapesti Gazdasági Egyetem, 2024. https://doi.org/10.29180/978-615-6342-90-4_18.

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Az üzleti felhasználók digitális készségei lehetővé teszik hatékony üzleti alkalmazások kezelését, például a Microsoft felhőszolgáltatási portfóliójában elérhető Power Platformban. A Power Platform több összetartozó szolgáltatást foglal magában: Power BI, Power Apps, Power Automate és Power Virtual Agents. Ennek a platformnak számos előnye van, beleértve az önkiszolgáló elemzést és az alkalmazásfejlesztés lehetőségét. Az egyedülálló no code/low code megközelítés segíti a felhasználókat a gyors és hatékony információfeldolgozásban, változatos alkalmazások létrehozásában, értékteremtő munkafolyamatok kialakításában, valamint az informatikai erőforrások nélküli mesterséges intelligencia kihasználásában. Jelen tanulmány célja a Power Platform használatához kapcsolódó digitális készségek feltérképezése.
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Conference papers on the topic "No-Code/Low-Code Platforms"

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Picek, Ruben. "Low-code/No-code Platforms and Modern ERP Systems." In 2023 International Conference on Information Management (ICIM). IEEE, 2023. http://dx.doi.org/10.1109/icim58774.2023.00014.

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Hagel, Nathan, Nicolas Hili, and Didier Schwab. "Turning Low-Code Development Platforms into True No-Code with LLMs." In MODELS Companion '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. ACM, 2024. http://dx.doi.org/10.1145/3652620.3688334.

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Guaki, Ginard S., and Gerry Paul Genove. "A literature review on low code and no code (LCNC) platforms in reshaping web and application development." In INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING (ICITME) 2023. AIP Publishing, 2025. https://doi.org/10.1063/5.0262017.

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Silva, Juciê Xavier, and Guilherme Avelino. "Evaluation of low code and no code platforms as a strategy to increase productivity in software development." In SBQS 2024: XXIII Brazilian Symposium on Software Quality. ACM, 2024. https://doi.org/10.1145/3701625.3701649.

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Vanhauer, Marleen, and Stephan Raimer. "Challenges and Opportunities of Low-Code Figma and Modul-F for Use within the Public Sector." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005443.

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Low-code/no-code applications becoming more and more popular would especially within the public sector foster faster digitalization of public services. Working with these applications requires no programming skills and therefore, professionals within their domain can easily implement digital prototypes independent of designers and software developers. Respectively, public administrative employees and executives often have a deep understanding of the actual digital public services to be implemented. Low-code development tools have been evaluated within the healthcare sector (Ness et al., 2019), educational sector (Khosrojerdi et al., 2021), whereas Gottschick et al. (2023) applied a software development approach using low-code/no-code for implementation of a public sector cloud service. Lethbridge (2021) stated a need to first provide proper low-code platforms, to have an impact on faster development of digital services. This led us to the question: Which low-code prototyping tools exist and what their opportunities and challenges are when used by public sector employees? By expert evaluation (Harley, 2019), we compared Figma (Figma, 2016) and the Figma-Low-Code plugin (Figma Community, 2020) with the customized low-code platform Modul-F (Senatskanzlei Hamburg, 2023) for the public sector. We found an advanced maturity in structure, layout and functions of both low-code platforms. According to Nielsen’s (2023) usability quality criteria, learnability of Modul-F was fast (high), and learnability of Figma with Low-Code plugin was rated neutral (medium). The efficiency of the Modul-F Editor was high, it was low for Figma with the low-code plugin. However, memorability was low for both platforms. Running the Figma-Low-Code plugin did require programming skills. Building a prototype with the Modul-F Editor did not allow to design individual user flows. In the future, usability studies should be conducted to assess flaws and satisfaction during actual use by public administrative employees, executives, and designers having no programming skills. Moreover, we anticipate that a nation-wide public service design system with component library, e.g. KERN UX-Standard (Senatskanzlei Hamburg, 2024), would fully leverage the potential of any low-code/no-code platform. To conclude, using low-code/no-code platforms requires interdisciplinary teams of administrative staff and designers working together on digital concepts on a professional daily basis.
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Heine, S., O. A. Castillo, M. R. Palacios, et al. "Bi, Python and Low Code Applications to Accelerate Digital Transformation." In SPE Latin American and Caribbean Petroleum Engineering Conference. SPE, 2023. http://dx.doi.org/10.2118/213108-ms.

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Abstract Citizen developer teams can be a valuable asset to any organization as they can help drive innovation and increase efficiency by quickly building custom solutions to meet specific business needs. They can also help bridge the gap between IT and business teams, allowing for more collaboration and better alignment of technology with business goals. Overall, citizen developer teams are a way for organizations to tap into the collective knowledge and expertise of their employees, empower them to drive digital transformation and improve business processes. This presentation aims to illustrate the importance of having such hybrid teams in any organization. By empowering non-technical employees to create custom software solutions, organizations can access a diverse range of knowledge and expertise to meet the needs of all stakeholders. DataGMA exemplifies this approach, having successfully improved data-driven processes at YPF Upstream NOC through the development and implementation of short-term Digital Solutions. By utilizing microservice principles and agile methodologies, DataGMA has made a significant impact on the organization, fostering a culture of data-driven decision making and improving various business processes. Specifically, DataGMA is a YPF Upstream NOC multidisciplinary team that combines geoscientists with technical support to deliver short-term solutions using Python and Low Code Platforms. While IT manages main and corporate applications according to corporate priorities and scope, DataGMA can take on new challenges and provide targeted solutions for short-term needs. Historical data was officially safeguarded and made available through new workflows, via optimized formats. Many manual tasks were replaced by automatic processes and many Python applications were created to optimize the interpretations of physical phenomena, with minimal cost. Finally, work methodologies and reporting of various disciplines were optimized through a combination of dashboards and low code application building. Throughout 3 years, DataGMA has improved many business processes by tackling non-governed data and building data awareness. This has radically improved engagement around the data life cycle and reduced time of no valuable work, such as repetitive or inefficient tasks. With a dynamic approach, the team was able to solve, not only recurrent business problems but new challenging ones, which has helped with digital transformation transition. DataGMA is an example of how a group of citizen Developers, included in a team with access to digital technologies, can achieve a direct impact on business performance.
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Alfedaghi, Hadla S. "Citizen Developers – KIPIC Case Study: Empowering Innovation and Accelerating Digital Transformation." In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/214520-ms.

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Abstract The oil and gas industry face unprecedented challenges and opportunities which demand innovative solutions. There needs to be more than the traditional centralized IT operational model to meet the dynamic needs of the industry. This has led to new models, such as the citizen developer program, which enables business users to create and deploy applications without requiring specialized technical skills. The citizen developer program is a new approach allowing non-IT professionals to create applications for their business needs using low-code and no-code platforms. This program aims to decentralize IT operations, increase innovation, reduce costs, and enhance customer experience. The democratization of technology is the core concept behind the citizen developer program, which enables businesses to create their applications and automate their processes [1]. The implementation of a citizen developer program requires careful planning and consideration of various factors, including change management, awareness and marketing of the concept, training, selecting the correct low code no code tool, management buy-in, building a community of practices for citizen developers, governance/policy, and more. These elements are critical to the program's success and must be carefully considered during implementation. This manuscript provides a framework for implementing a citizen developer program in the oil and gas industry. It also includes a case study of implementing such a program and creating significant value in Kuwait Integrated Petroleum Industries Company (KIPIC). The Framework emphasizes the importance of change management, awareness and marketing of the concept, training, selecting the correct low code no code tool, management buy-in, building a community of practices for citizen developers, governance/policy, and more. The manuscript aims to provide insights into the benefits of implementing a citizen developer program in the oil and gas industry and its potential impact on the IT operational model. In summary, the citizen developer program represents a paradigm shift in the oil and gas industry, which enables businesses to create and deploy applications without relying solely on IT professionals. This program can increase innovation, reduce costs, and enhance customer experience. The implementation of a citizen developer program requires careful planning and consideration of various factors, as outlined in this manuscript.
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Guthardt, Till, Jens Kosiol, and Oliver Hohlfeld. "Low-code vs. the developer: An empirical study on the developer experience and efficiency of a no-code platform." In MODELS Companion '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. ACM, 2024. http://dx.doi.org/10.1145/3652620.3688332.

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S, Kalaivani, Arun Senthilkumar, Akash Prabhune, Mathan Babu Durairaj, and Sachin S. Bhat. "Application of Scrum framework and Low Code No Code platform for development and implementation of In-patient electronic visitor management system to optimise hospital operations." In 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2024. http://dx.doi.org/10.1109/iitcee59897.2024.10467670.

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Green, Brian R., Randall M. Mathison, and Michael G. Dunn. "Time-Averaged and Time-Accurate Aerodynamic Effects of Rotor Purge Flow for a Modern, One and One-Half Stage High-Pressure Turbine: Part II—Analytical Flow Field Analysis." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-69939.

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The detailed mechanisms of purge flow interaction with the hot-gas flow path were investigated using both unsteady CFD and measurements for a turbine operating at design corrected conditions. This turbine consisted of a single-stage high-pressure turbine and the downstream, low-pressure turbine nozzle row with an aerodynamic design equivalent to actual engine hardware and typical of a commercial, high-pressure ratio, transonic turbine. The high-pressure vane airfoils and inner and outer endwalls incorporated state-of-the-art film cooling, and purge flow was introduced into the cavity located between the high-pressure vane and disk. The flow field above and below the blade angel wing was characterized by both temperature and pressure measurements. Predictions of the time-dependent flow field were obtained using a three-dimensional, Reynolds-Averaged Navier-Stokes CFD code and a computational model incorporating the three blade rows and the purge flow cavity. The predictions were performed to evaluate the accuracy obtained by a design style application of the code, and no adjustment of boundary conditions was made to better match the experimental data. Part I of this paper compared the predictions to the measurements in and around the purge flow cavity and demonstrated good correlation. Part II of this paper concentrates on the analytical results, looking at the primary gas path ingestion mechanism into the cavity as well as the effects of the rotor purge on the upstream vane and downstream rotor aerodynamics and thermodynamics. Ingestion into the cavity is driven by high static pressure regions downstream of the vane, high-velocity flow coming off the pressure side of the vane, and the blade bow waves. The introduction of the purge flow is seen to have an effect on the static pressure of the vane trailing edge in the lower 5% of span. In addition, the purge flow is weak enough that upon exiting the cavity, it is swept into the mainstream flow and provides no additional cooling benefits on the platform of the rotating blade.
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