Applying AI in DevOps Management
Summary
This research project examines how technological innovations like AI and DevOps can be integrated into software development and operations to enhance business value in established companies.
Duration (planned): 01.02.2025 - 31.01.2028
Context
Achieving business-IT alignment is a key concern for many companies. Established companies have started implementing technological innovations such as artificial intelligence (AI) and DevOps teams to leverage AI to improve their performance.
Course of Action
The overall research question for this project is the following: How can technological innovations be integrated into software development and software operations and leveraged to overcome risks and increase business value? This question will be answered with the help of qualitative, quantitative, and design science research methods.
Result
The overarching goals of this project are (1) to identify the critical factors for enhancing performance and business value in DevOps through AI by conducting a systematic literature review; (2) to define the various manifestations of the factors identified from the literature by conducting an exploratory case study; (3) to validate the exploratory findings drawn from (2) through a quantitative study to discern the specific scenarios for AI in DevOps; (4) to develop an artefact serving as a consulting tool for IT managers for AI in DevOps by drawing on the design science method; and (5) to deduce potential trajectories for research, education, and practice by using diverse methodologies, including design thinking workshops with a wide range of stakeholders.
Looking Ahead
This project’s overall aim is to enhance the performance of IT functions in incumbent companies. This project has several industrial partners . The results are intended to form the scientific basis for developing a consulting tool to assess and transform companies’ IT functions. Due to technological innovation, there are constantly changing requirements for companies and individuals to develop further. This research contributes to organizations’ internal alignment and helps them to be part of digital society in the future.
Contact
The project is funded by the Swiss National Science Foundation (SNF) and is led by Prof. Dr. Anna Wiedemann at the Bern University of Applied Sciences (BFH). Accordingly, the project is conducted in close cooperation with BFH. Within this project, Vivian Schmidt and Dharneeka Jeyam are serving as PhD students under the supervision of Prof. Dr. Gerhard Schwabe at the University of Zurich (UZH).