Earl T. Barr, Ph.D.

Affiliations: 
2009 Computer Science University of California, Davis, Davis, CA 
Area:
Computer Science
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"Earl Barr"

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Raju Pandey grad student 2009 UC Davis
 (MAGE: A distributed programming model.)
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Publications

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Alshahwan N, Barr ET, Clark D, et al. (2020) Detecting Malware with Information Complexity. Entropy (Basel, Switzerland). 22
Gavidia-Calderon C, Sarro F, Harman M, et al. (2020) The Assessor's Dilemma: Improving Bug Repair via Empirical Game Theory Ieee Transactions On Software Engineering. 1-1
Gavidia-Calderon C, Sarro F, Harman M, et al. (2020) Game-Theoretic Analysis of Development Practices: Challenges and Opportunities Journal of Systems and Software. 159: 110424
Meyer A, Barr ET, Bird C, et al. (2019) Today was a Good Day: The Daily Life of Software Developers Ieee Transactions On Software Engineering. 1-1
Bruce BR, Petke J, Harman M, et al. (2019) Approximate Oracles and Synergy in Software Energy Search Spaces Ieee Transactions On Software Engineering. 45: 1150-1169
Menéndez HD, Bhattacharya S, Clark D, et al. (2019) The arms race: adversarial search defeats entropy used to detect malware Expert Systems With Applications. 118: 246-260
Allamanis M, Barr ET, Devanbu P, et al. (2018) A Survey of Machine Learning for Big Code and Naturalness Acm Computing Surveys. 51: 81
Allamanis M, Barr ET, Bird C, et al. (2018) Mining Semantic Loop Idioms Ieee Transactions On Software Engineering. 44: 651-668
Qiu D, Li B, Barr ET, et al. (2017) Understanding the syntactic rule usage in java Journal of Systems and Software. 123: 160-172
Hindle A, Barr ET, Gabel M, et al. (2016) On the naturalness of software Communications of the Acm. 59: 122-131
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