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In this paper, the adoption patterns of Generative Artificial Intelligence (AI) tools within software engineering are investigated. Influencing factors at the individual, technological, and societal levels are analyzed using a mixed-methods…

Software Engineering · Computer Science 2024-01-05 Daniel Russo

Context. GenAI tools are being increasingly adopted by practitioners in SE, promising support for several SE activities. Despite increasing adoption, we still lack empirical evidence on how GenAI is used in practice, the benefits it…

Software Engineering · Computer Science 2026-04-02 Görkem Giray , Onur Demirörs , Marcos Kalinowski , Daniel Mendez

Context: Software engineering (SE) researchers increasingly study Generative AI (GenAI) while also incorporating it into their own research practices. Despite rapid adoption, there is limited empirical evidence on how GenAI is used in SE…

Context: Generative Artificial Intelligence (GenAI) is transforming much of software development, yet its application in software architecture is still in its infancy, and no prior study has systematically addressed the topic. Aim: We aim…

Context: The rapid emergence of generative AI (GenAI) tools has begun to reshape various software engineering activities. Yet, their adoption within agile environments remains underexplored. Objective: This study investigates how agile…

Since the public release of Chat Generative Pre-Trained Transformer (ChatGPT), extensive discourse has emerged concerning the potential advantages and challenges of integrating Generative Artificial Intelligence (GenAI) into education. In…

Computers and Society · Computer Science 2024-07-30 Jan-Erik Kalmus , Anastasija Nikiforova

Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in software development, offering assistance to various managerial and technical project activities. Notable examples of these tools include OpenAIs…

Generative AI (genAI) tools promise productivity gains, yet miscalibrated trust and usage friction still hinder adoption. Moreover, genAI can be exclusionary, failing to adequately support diverse users. One such aspect of diversity is…

The growing adoption of generative AI (GenAI) is reshaping how user experience (UX) research teams conduct qualitative research in software development, creating opportunities to streamline the production of qualitative insights. This paper…

Generative artificial intelligence (GenAI) tools have seen rapid adoption among software developers. While adoption rates in the industry are rising, the underlying factors influencing the effective use of these tools, including the depth…

Software Engineering · Computer Science 2026-01-26 Ludwig Felder , Tobias Eisenreich , Mahsa Fischer , Stefan Wagner , Chunyang Chen

Context. The rise of generative AI (GenAI) tools like ChatGPT and GitHub Copilot has transformed how software is learned and written. In software engineering (SE) education, these tools offer new opportunities for support, but also raise…

Software Engineering · Computer Science 2025-12-05 Qiaolin Qin , Ronnie de Souza Santos , Rodrigo Spinola

The adoption of Generative AI (GenAI) suggests major changes for software engineering, including technical aspects but also human aspects of the professionals involved. One of these aspects is how individuals perceive themselves regarding…

Software Engineering · Computer Science 2026-02-23 Jorge Melegati

This study investigates whether demographic factors shape adoption and attitudes among employees toward artificial intelligence (AI) technologies at work. Building on an extended Unified Theory of Acceptance and Use of Technology (UTAUT),…

Computers and Society · Computer Science 2025-10-20 Diana Wolfe , Matt Price , Alice Choe , Fergus Kidd , Hannah Wagner

Generative AI (genAI) tools, such as ChatGPT or Copilot, are advertised to improve developer productivity and are being integrated into software development. However, misaligned trust, skepticism, and usability concerns can impede the…

Generative AI (genAI) tools (e.g., ChatGPT, Copilot) have become ubiquitous in software engineering (SE). As SE educators, it behooves us to understand the consequences of genAI usage among SE students and to create a holistic view of where…

Human-Computer Interaction · Computer Science 2024-12-23 Rudrajit Choudhuri , Ambareesh Ramakrishnan , Amreeta Chatterjee , Bianca Trinkenreich , Igor Steinmacher , Marco Gerosa , Anita Sarma

The attitudes of today's students toward generative AI (GenAI) will significantly influence its adoption in the workplace in the years to come, carrying both economic and social implications. It is therefore crucial to study this phenomenon…

Computers and Society · Computer Science 2025-12-30 Łukasz Sikorski , Albert Łukasik , Jacek Matulewski , Arkadiusz Gut

Contributions: An adoption framework to include GenAI in the university curriculum. It identifies and highlights the role of different stakeholders (university management, students, staff, etc.) during the adoption process. It also proposes…

Computers and Society · Computer Science 2024-08-06 Samar Shailendra , Rajan Kadel , Aakanksha Sharma

This study investigated the students' perceptions of using Generative Artificial Intelligence (GenAI) in upper-secondary mathematics education. Data was collected from Finnish high school students to represent how key constructs of the…

Computers and Society · Computer Science 2025-04-17 Mika Setälä , Ville Heilala , Pieta Sikström , Tommi Kärkkäinen

Context: As generative AI (GenAI) tools such as ChatGPT and GitHub Copilot become pervasive in education, concerns are rising about students using them to complete rather than learn from coursework-risking overreliance, reduced critical…

Software Engineering · Computer Science 2025-10-21 Vahid Garousi , Zafar Jafarov , Aytan Movsumova , Atif Namazov , Huseyn Mirzayev

Generative AI tools are rapidly transforming software development practice, prompting unprecedented research interest. However, existing studies have predominantly examined initial adoption rather than sustained use. Understanding what…

Software Engineering · Computer Science 2026-05-26 Fabio Calefato , Alexandra Pajonk , Victoria Jackson , Guilherme Vaz Pereira , Rafael Prikladnicki , Filippo Lanubile
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