Janicke Andersson

Mälardalen University, Linköping University

Papers

Total Citations

H-Index

About

Janicke Andersson’s research bridges software engineering and industrial robotics, with a focus on practical automation and design optimization. In their most cited work, “Automatic Generation and Validation of Models of Legacy Software” (2006, 20 citations), Andersson tackles a critical industry challenge: the high cost and complexity of manually maintaining models for legacy systems. By proposing automated model generation and validation, this work offers a scalable solution to improve software maintenance without prohibitive economic burdens—a contribution that resonates with both researchers and practitioners striving to modernize aging codebases. In parallel, Andersson’s study “On Optimal Drive Train Design in Industrial Robots” (2006, 4 citations) introduces optimization techniques to select gearboxes for robotic systems, generating tradeoff information that empowers designers to make informed decisions between competing performance criteria. This work exemplifies Andersson’s ability to apply computational methods to real-world engineering problems, enhancing efficiency in robot design. While citation counts are modest, the research demonstrates a clear focus on practical impact—addressing legacy software maintenance and robotic drive train optimization—making Andersson’s contributions valuable for students and researchers interested in automation, model-driven engineering, and industrial robotics.