100 citations · 302 across the 28 of their papers we have counts for
31 papers
The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
Aleksander Jarzębowicz, Adam Przybyłek, Jacinto Estima +14
The post-ChatGPT surge has rapidly reframed IS research and practice. As organizations and society grapple with GenAI adoption, a body of secondary studies and research agendas has…
CodeLSI: Leveraging Foundation Models for Automated Code Generation with Low-Rank Optimization and Domain-Specific Instruction Tuning
Huy Le, Phong Nguyen, Hao Do +4
Context: Automated code generation using Foundation Models (FMs) offers promising solutions for enhancing software development efficiency. However, challenges remain in ensuring do…
Evaluating Classical Software Process Models as Coordination Mechanisms for LLM-Based Software Generation
Duc Minh Ha, Phu Trac Kien, Tho Quan +1
[Background] Large Language Model (LLM)-based multi-agent systems (MAS) are transforming software development by enabling autonomous collaboration. Classical software processes suc…
An Empirical Study of Multi-Agent RAG for Real-World University Admissions Counseling
Anh Nguyen-Duc, Chien Vu Manh, Bao Anh Tran +3
This paper presents MARAUS (Multi-Agent and Retrieval-Augmented University Admission System), a real-world deployment of a conversational AI platform for higher education admission…
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
Nga Pham, Minh Kha Do, Tran Vu Dai +2
Fairness in artificial intelligence and machine learning (AI/ML) models is becoming critically important, especially as decisions made by these systems impact diverse groups. In ed…
An Empirical Study on Self-correcting Large Language Models for Data Science Code Generation
Thai Tang Quoc, Duc Ha Minh, Tho Quan Thanh +1
Large Language Models (LLMs) have recently advanced many applications on software engineering tasks, particularly the potential for code generation. Among contemporary challenges,…
Generative Artificial Intelligence for Software Engineering -- A Research Agenda
Anh Nguyen-Duc, Beatriz Cabrero-Daniel, Adam Przybylek +12
Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in software development, offering assistance to various managerial and technical project activit…
Software Startups -- A Research Agenda
Michael Unterkalmsteiner, Pekka Abrahamsson, Xiaofeng Wang +24
Software startup companies develop innovative, software-intensive products within limited time frames and with few resources, searching for sustainable and scalable business models…
Work-from-home and its implication for project management, resilience and innovation -- a global survey on software companies
Anh Nguyen-Duc, Dron Khanna, Des Greer +16
[Context] The COVID-19 pandemic has had a disruptive impact on how people work and collaborate across all global economic sectors, including the software business. While remote wor…
On the combination of static analysis for software security assessment -- a case study of an open-source e-government project
Anh Nguyen-Duc, Manh Viet Do, Quan Luong Hong +1
Static Application Security Testing (SAST) is a popular quality assurance technique in software engineering. However, integrating SAST tools into industry-level product development…
The entrepreneurial logic of startup software development: A study of 40 software startups
Anh Nguyen-Duc, Kai-Kristian Kemell, Pekka Abrahamsson
Context: Software startups are an essential source of innovation and software-intensive products. The need to understand product development in startups and to provide relevant sup…
Software Startup Practices -- Software Development in Startups through the Lens of the Essence Theory of Software Engineering
Kai-Kristian Kemell, Ville Ravaska, Anh Nguyen-Duc +1
Software startups continue to be important drivers of economy globally. As the initial investment required to found a new software company becomes smaller and smaller resulting fro…
Business Model Canvas Should Pay More Attention to the Software Startup Team
Kai-Kristian Kemell, Atte Elonen, Mari Suoranta +12
Business Model Canvas (BMC) is a tool widely used to describe startup business models. Despite the various business aspects described, BMC pays a little emphasis on team-related fa…
Time for AI (Ethics) Maturity Model Is Now
Ville Vakkuri, Marianna Jantunen, Erika Halme +4
There appears to be a common agreement that ethical concerns are of high importance when it comes to systems equipped with some sort of Artificial Intelligence (AI). Demands for et…
Software engineering for artificial intelligence and machine learning software: A systematic literature review
Elizamary Nascimento, Anh Nguyen-Duc, Ingrid Sundbø +1
Artificial Intelligence (AI) or Machine Learning (ML) systems have been widely adopted as value propositions by companies in all industries in order to create or extend the service…
100+ Metrics for Software Startups - A Multi-Vocal Literature Review
Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc +3
Metrics can be used by businesses to make more objective decisions based on data. Software startups in particular are characterized by the uncertain or even chaotic nature of the c…
The Essence Theory of Software Engineering - Large-Scale Classroom Experiences from 450+ Software Engineering BSc Students
Kai-Kristian Kemell, Anh Nguyen-Duc, Xiaofeng Wang +2
Software Engineering as an industry is highly diverse in terms of development methods and practices. Practitioners employ a myriad of methods and tend to further tailor them by e.g…
Gamifying the Escape from the Engineering Method Prison - An Innovative Board Game to Teach the Essence Theory to Future Project Managers and Software Engineers
Kai-Kristian Kemell, Juhani Risku, Arthur Evensen +6
Software Engineering is an engineering discipline but lacks a solid theoretical foundation. One effort in remedying this situation has been the SEMAT Essence specification. Essence…
Resource and Competence (Internal) View vs. Environment and Market (External) View when defining a Business
Yngve Dahle, Martin Steinert, Anh Nguyen Duc +1
Startups is a popular phenomenon that has a significant impact on global economy growth, innovation and society development. However, there is still insufficient understanding abou…
Do software firms collaborate or compete? A model of coopetition in community-initiated OSS projects
Anh Nguyen-Duc, Daniela S. Cruzes, Snarby Terje +1
[Background] An increasing number of commercial firms are participating in Open Source Software (OSS) projects to reduce their development cost and increase technical innovativenes…
A preliminary study of agility in business and production - Cases of early-stage hardware startups
Anh Nguyen Duc, Xiaofang Weng, Pekka Abrahamsson
[Context]Advancement in technologies, popularity of small-batch manufacturing and the recent trend of investing in hardware startups are among the factors leading to the rise of ha…
From MVPs to pivots: a hypothesis-driven journey of two software startups
Dron Khanna, Anh Nguyen-Duc, Xiaofeng Wang
Software startups have emerged as an interesting multiperspective research area. Inspired by Lean Startup, a startup journey can be viewed as a series of experiments that validate…
Evaluation of team dynamic in Norwegian projects for IT students
Salah Uddin Ahmed, Ingrid Sundbø, Jon Kvisli +3
The need for teaching realistic software development in project courses has increased in a global scale. It has always been challenges in cooperating fast-changing software technol…
A Systematic Mapping Study on Requirements Engineering in Software Ecosystems
Aparna Vegendla, Anh Nguyen Duc, Shang Gao +1
Software ecosystems (SECOs) and open innovation processes have been claimed as a way forward for the software industry. A proper understanding of requirements is as important for t…