Olivia Bruhin
Last Name
Bruhin
First name
Olivia
Email
olivia.bruhin@unisg.ch
ORCID
Phone
+41 71 224 72 38
3 results
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Item type:Publication, Code and Craft: How Generative AI Tools Facilitate Job Crafting in Software Development(2025); ; ; The rapid evolution of the software development industry challenges developers to manage their diverse tasks effectively. Traditional assistant tools in software development often fall short of supporting developers efficiently. This paper explores how generative artificial intelligence (GAI) tools, such as Github Copilot or ChatGPT, facilitate job crafting—a process where employees reshape their jobs to meet evolving demands. By integrating GAI tools into workflows, software developers can focus more on creative problem-solving, enhancing job satisfaction, and fostering a more innovative work environment. This study investigates how GAI tools influence task, cognitive, and relational job crafting behaviors among software developers, examining its implications for professional growth and adaptability within the industry. The paper provides insights into the transformative impacts of GAI tools on software development job crafting practices, emphasizing their role in enabling developers to redefine their job functions.Type:conference paperJournal:58th Hawaii International Conference on System Sciences (HICSS) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Beyond Code: The Impact of Generative AI on Work Systems in Software Engineering(2024)The development of Generative Artificial Intelligence (GenAI) in Software Engineering (SE) is driving significant transformations in work systems, impacting work practices, information management, and development processes. This study applies Work System Theory to explore how GenAI not only enhances individual tasks but also redefines entire workflows and collaboration models within SE environments. Through a case study involving expert interviews at a telecommunications and software company, the research uncovers both substantial benefits and emerging challenges associated with GenAI integration. The findings contribute to a structured framework that offers guidance for effectively implementing GenAI to enhance productivity and foster innovation in SE. These insights are essential for practitioners managing the rapidly evolving SE landscape, ensuring the successful and sustainable adoption of GenAI within work systems.Type:conference paperJournal:International Conference on Information Systems (ICIS) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, More Than Just Efficiency: Impact of Generative AI on Developer Productivity(2024-08); ;