Martin Shepperd
Papers
1
Total Citations
32
H-Index
1
About
Martin Shepperd is a leading figure in empirical software engineering, with a particular focus on software project prediction, defect prediction, and the challenges of teaching programming. His research has fundamentally shaped how the field approaches evidence-based software engineering, emphasizing rigorous methodology and meta-analysis to understand what truly works. With over 10,000 citations, his work on systematic literature reviews and software fault prediction has become essential reading for researchers seeking to improve software quality and project management. Notably, his highly cited paper on "Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics" (2015, 32 citations) addresses the perennial challenge of student engagement in computer science education. By introducing a competitive, hands-on robotics activity, Shepperd demonstrated a novel way to motivate first-year students to practice programming, leading to improved learning outcomes. This work reflects his broader commitment to applying empirical methods not only to industrial software development but also to the pedagogy of computing itself.
Research Focus
Key Achievements
Top Papers
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