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
Justyna Petke
Tim Menzies
Search Based Software Engineering
This book constitutes the refereed proceedings of the 9th International Symposium on Search-Based Software Engineering, SSBSE 2017, held in Paderborn, Germany, in September 2017.
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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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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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