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David Kavaler
David Kavaler
Ph.D Computer Science, Sandia National Laboratories; UC Davis
Verified email at ucdavis.edu
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Cited by
Cited by
Year
Using and asking: Apis used in the android market and asked about in stackoverflow
D Kavaler, D Posnett, C Gibler, H Chen, P Devanbu, V Filkov
Social Informatics: 5th International Conference, SocInfo 2013, Kyoto, Japan …, 2013
782013
Tool choice matters: JavaScript quality assurance tools and usage outcomes in GitHub projects
D Kavaler, A Trockman, B Vasilescu, V Filkov
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
382019
Studying android app popularity by cross-linking github and google play store
J Businge, M Openja, D Kavaler, E Bainomugisha, F Khomh, V Filkov
2019 IEEE 26th international conference on software analysis, evolution and …, 2019
332019
Perceived language complexity in GitHub issue discussions and their effect on issue resolution
D Kavaler, S Sirovica, V Hellendoorn, R Aranovich, V Filkov
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
322017
Stochastic actor-oriented modeling for studying homophily and social influence in OSS projects
D Kavaler, V Filkov
Empirical Software Engineering 22, 407-435, 2017
142017
Determinants of quality, latency, and amount of Stack Overflow answers about recent Android APIs
D Kavaler, V Filkov
PloS one 13 (3), e0194139, 2018
102018
Whom are you going to call? determinants of@-mentions in github discussions
D Kavaler, P Devanbu, V Filkov
Empirical Software Engineering 24, 3904-3932, 2019
92019
Status, identity, and language: A study of issue discussions in GitHub
J Liao, G Yang, D Kavaler, V Filkov, P Devanbu
PloS one 14 (6), e0215059, 2019
92019
Lessons learned from 10k experiments to compare virtual and physical testbeds
J Crussell, TM Kroeger, D Kavaler, A Brown, C Phillips
12th USENIX Workshop on Cyber Security Experimentation and Test (CSET 19), 2019
62019
WHOM ARE YOU GOING TO CALL
D Kavaler, P Devanbu, V Filkov
DETERMINANTS OF@-MENTIONS IN GITHUB DISCUSSIONS Empirical Software …, 2019
12019
Application of Neural Translation: Source Code to English.
D Jacobs, CB Harrison, M Bierma, K Kincher-Winoto, J Lee, D Kavaler, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2020
2020
QUE LDRD Tools
J Crussell, T Kroeger, A Brown, D Kavaler
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
WeightedAFL
K Kincher-Winoto, D Kavaler, D Loffredo
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
Quantifying Uncertainty in Emulations: LDRD Report.
J Crussell, A Brown, JK Jennings, D Kavaler, TM Kroeger, CA Phillips
Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2019
2019
Using Sequence-to-Sequence Models to Build Source-to-English Translations.
K Kincher-Winoto, D Kavaler
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019
2019
Transformers for Neural Machine Translation and Beyond.
D Kavaler
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019
2019
Exploiting Time and Subject Locality for Fast, Efficient, and Understandable Alert Triage
D Kavaler, C Hudson, M Bierma
2018 International Conference on Computing, Networking and Communications …, 2018
2018
Sociotechnical Aspects of Performance and Success in Software Engineering
DM Kavaler
University of California, Davis, 2018
2018
Exploiting locality for fast alert triage.
M Bierma, D Kavaler
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
2017
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