Metacognitive skills in low-code app development: Work-integrated learning in information systems development

S Matook, Y Maggie Wang… - Journal of Information …, 2024 - journals.sagepub.com
Low-code platforms can provide a learning environment that integrates academic theory
with practical experiences, allowing students to experience real-world ISD projects. Such a …

Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning

RR Panda, NK Nagwani - Knowledge and Information Systems, 2024 - Springer
In modern times, the software industry is more focused on the timely release of high-quality
software. Software bugs have a significant impact on software quality and reliability. To …

The Landscape of Rigorous and Agile Software Development Life Cycles (SDLC) for BPMS: a Systematic Selective Literature Review

R Davila-Campos, M Mora, PY Reyes-Delgado… - IEEE …, 2024 - ieeexplore.ieee.org
Business Process Management Systems (BPMS) are specialized Information Systems for
the definition, execution, and management of business organizational processes including …

How far are we with automated machine learning? characterization and challenges of AutoML toolkits

MA Al Alamin, G Uddin - Empirical Software Engineering, 2024 - Springer
Abstract Automated Machine Learning aka AutoML toolkits are low/no-code software that
aim to democratize ML system application development by ensuring rapid prototyping of ML …

Unveiling Challenges and Opportunities in Low Code Development Platforms: A StackOverflow Analysis

E Elshan, D Siemon, O Bruhin, D Kedziora… - Proceedings of the 57th …, 2024 - lutpub.lut.fi
As the rapidly expanding digital transformations at multiple organizations require
development of growing number of software solutions, low code development platforms …

[PDF][PDF] Democratizing Software Development and Machine Learning Using Low Code Applications

MA Alamin - Master's thesis, Schulich School of Engineering, 2022 - prism.ucalgary.ca
Low-code software development (LCSD) is an emerging approach to democratize traditional
and Machine Learning (ML) application development for practitioners from diverse …

Could No-Code Be Code? Toward a No-Code Programming Language for Citizen Developers

A Avishahar-Zeira, DH Lorenz - Proceedings of the 2023 ACM SIGPLAN …, 2023 - dl.acm.org
By 2030 for each filled position in Software Engineering, two positions would remain
unfilled. This already apparent loss of productivity has the software industry scrambling to fill …

Challenges and Barriers of Using Low Code Software for Machine Learning

MAA Alamin, G Uddin - arXiv preprint arXiv:2211.04661, 2022 - arxiv.org
As big data grows ubiquitous across many domains, more and more stakeholders seek to
develop Machine Learning (ML) applications on their data. The success of an ML …

[HTML][HTML] Minimum Viable Products Launching for Start-Ups and Vocational Training Using No-Code Tools Learning Resources

D Orok, J Akpan, O Olanrewaju - 2024 - intechopen.com
No-code tools (NCT) for minimum viable products (MVP) creation have been popular among
start-ups in recent years. This technology form allows entrepreneurs to replicate working …

Exploring the Black Box: Analyzing Explainable AI Challenges and Best Practices Through Stack Exchange Discussions

MM Sayyadnejad, A Asgari, A Sami, H Tahyori - 2024 - researchsquare.com
Abstract Explainable Artificial Intelligence (XAI) is a crucial domain within research and
industry, aiming to develop AI models that provide human-understandable explanations for …