معرفی
Martin Shepperd serves as Professor and Chair of Software Technology & Modelling at Brunel University London, bringing industry experience from his prior role as a software developer at HSBC to his academic leadership. With over 180 peer-reviewed publications and three authored books, he is a prominent figure in software engineering research whose work bridges theoretical rigor and practical application in data-intensive domains.
His educational background includes:
- MSc in Computer Science
- PhD in Computer Science
Professor Shepperd's research program centers on empirical software engineering with deep specialization in software defect prediction, project effort estimation, and research integrity. His methodology combines machine learning techniques with critical analysis of measurement systems, particularly examining how biased metrics distort defect prediction outcomes. He has pioneered investigations into historical estimation practices through analogy-based approaches while expanding into automotive software contexts where Agile maturity impacts problem reporting efficacy. His recent work demonstrates increasing focus on meta-research examining retracted publications to strengthen scientific foundations in computer science.
Analysis of his 2021-2025 publications reveals a cohesive trajectory toward methodological accountability in software engineering research. Key thematic threads include rigorous critique of performance metrics in defect prediction systems, longitudinal studies of estimation techniques, and systematic investigations into research integrity failures. His work consistently emphasizes practical implications for industry practitioners while advancing empirical validation standards, with growing attention to automotive software development ecosystems and information systems quality management frameworks.
No scientific awards were documented in the provided source material.
While the text confirms extensive publication output and editorial leadership as Specialty Chief Editor for Software Frontiers in Computer Science, no details regarding student supervision, grant funding, or collaborative projects were included in the available information.
Specific laboratory structures or dedicated research teams were not described in the source text, though his role as Chair of Software Technology & Modelling implies leadership within that academic unit.
