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Marvin V. Zelkowitz

Researcher at University of Maryland, College Park

Publications -  147
Citations -  4669

Marvin V. Zelkowitz is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Software development & Social software engineering. The author has an hindex of 32, co-authored 147 publications receiving 4593 citations. Previous affiliations of Marvin V. Zelkowitz include University of Maryland University College & University of Baltimore.

Papers
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Journal ArticleDOI

Experimental models for validating technology

TL;DR: A taxonomy for software engineering experimentation can be found in this article, where the authors describe twelve different experimental approaches for attribute evaluation and evaluate whether methods used in accordance with some theory during product development will result in software being as effective as necessary.
Journal ArticleDOI

The empirical investigation of perspective-based reading

TL;DR: Teams applying PBR are shown to achieve significantly better coverage of documents than teams that do not apply PBR, and the threats to validity are discussed so that external replications can benefit from the lessons learned and improve the experimental design.
Book ChapterDOI

Empirical Findings in Agile Methods

TL;DR: Researchers from four institutions organized an eWorkshop to synchronously and virtually discuss and gather experiences and knowledge from eighteen Agile experts spread across the globe, and found common success factors and identified warning signs of problems in Agile projects.
Proceedings ArticleDOI

What we have learned about fighting defects

TL;DR: The results to date of a series of e-Workshops on software defect reduction are discussed, and reformulated heuristics can be useful both to researchers and practitioners, for pointing out gaps in the current state of the knowledge.
Journal ArticleDOI

Experimental validation in software engineering

TL;DR: A 12-model classification scheme for performing experimentation within the software development domain is discussed and evaluated to determine how well the computer science community is succeeding at validating its theories, and how computer science compares to other scientific disciplines.