Articles with public access mandates - Mark GrechanikLearn more
Available somewhere: 10
Mining performance regression inducing code changes in evolving software
Q Luo, D Poshyvanyk, M Grechanik
Proceedings of the 13th International Conference on Mining Software …, 2016
Mandates: US National Science Foundation
Forepost: Finding performance problems automatically with feedback-directed learning software testing
Q Luo, A Nair, M Grechanik, D Poshyvanyk
Empirical Software Engineering 22, 6-56, 2017
Mandates: US National Science Foundation
Forepost: A tool for detecting performance problems with feedback-driven learning software testing
Q Luo, D Poshyvanyk, A Nair, M Grechanik
Proceedings of the 38th International Conference on Software Engineering …, 2016
Mandates: US National Science Foundation
Enhancing rules for cloud resource provisioning via learned software performance models
M Grechanik, Q Luo, D Poshyvanyk, A Porter
Proceedings of the 7th ACM/SPEC on International Conference on Performance …, 2016
Mandates: US National Science Foundation
RUGRAT: Evaluating program analysis and testing tools and compilers with large generated random benchmark applications
I Hussain, C Csallner, M Grechanik, Q Xie, S Park, K Taneja, ...
Software: Practice and Experience 46 (3), 405-431, 2016
Mandates: US National Science Foundation
Search-based stress testing the elastic resource provisioning for cloud-based applications
A Alourani, MAN Bikas, M Grechanik
Search-Based Software Engineering: 10th International Symposium, SSBSE 2018 …, 2018
Mandates: US National Science Foundation
How elasticity property plays an important role in the cloud: a survey
MAN Bikas, A Alourani, M Grechanik
Advances in Computers 103, 1-30, 2016
Mandates: US National Science Foundation
Differencing graphical user interfaces
M Grechanik, CW Mao, A Baisal, D Rosenblum, BMM Hossain
2018 IEEE International Conference on Software Quality, Reliability and …, 2018
Mandates: US National Science Foundation
Input-sensitive profiling: A survey
A Alourani, MAN Bikas, M Grechanik
Advances in Computers 103, 31-52, 2016
Mandates: US National Science Foundation
Can software project maturity be accurately predicted using internal source code metrics?
M Grechanik, N Prabhu, D Graham, D Poshyvanyk, M Shah
International Conference on Machine Learning and Data Mining in Pattern …, 2016
Mandates: US National Science Foundation
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