Tim Menzies
- Auteur
Tim Menzies, Full Professor, CS, NC State and a former software research chair at NASA. He has published 200+ publications, many in the area of software analytics. He is an editorial board member (1) IEEE Trans on SE; (2) Automated Software Engineering journal; (3) Empirical Software Engineering Journal. His research includes artificial intelligence, data mining and search-based software engineering. He is best known for his work on the PROMISE open source repository of data for reusable software engineering experiments.
Tim Menzies, Full Professor, CS, NC State and a former software research chair at NASA. He has published 200+ publications, many in the area of software analytics. He is an editorial board member (1) IEEE Trans on SE; (2) Automated Software Engineering journal; (3) Empirical Software Engineering Journal. His research includes artificial intelligence, data mining and search-based software engineering. He is best known for his work on the PROMISE open source repository of data for reusable software engineering experiments.
Affiliations and Expertise: Professor, Computer Science, North Carolina State University, Raleigh, NC, USA
Affiliations and Expertise: Professor, Computer Science, North Carolina State University, Raleigh, NC, USA
Boeken van Tim Menzies
Tim Menzies
Laurie Williams
Thomas Zimmerman
Perspectives on Data Science for Software Engineering
'Perspectives on Data Science for Software Engineering' presents the best practices of seasoned data miners in software engineering.
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Christian Bird
Tim Menzies
Thomas Zimmermann
The Art and Science of Analyzing Software Data
The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data.
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Tim Menzies
Ekrem Kocaguneli
Burak Turhan
Leandro Minku
Fayola Peters
Sharing Data and Models in Software Engineering
Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant.
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