Methodology of Algorithm Engineering
Abstract
Research on algorithms has drastically increased in recent years. Various sub-disciplines of computer science investigate algorithms according to different objectives and standards. This plurality of the field has led to various methodological advances that have not yet been transferred to neighboring sub-disciplines. The central roadblock for a better knowledge exchange is the lack of a common methodological framework integrating the perspectives of these sub-disciplines. It is the objective of this article to develop such a research framework for algorithm engineering. Our framework builds on three areas discussed in the philosophy of science: ontology, epistemology and methodology. The framework helps us to identify and discuss various validity concerns relevant for any contribution on algorithms in various areas of computer science.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Computability
Logic
AI Algorithms
Philosophy and History of Science
Publication details
- Journal / source
- Repository KITopen (Karlsruhe Institute of Technology)
- Publication date
- 1 January 2026
- Language
- EN