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ORCIDMiguel Velez
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2020 – today
- 2022
[b1]Miguel Velez:
Debugging the Performance of Configurable Software Systems: A Human-Centered White-box Approach. Carnegie Mellon University, USA, 2022- [c6]Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel
, Christian Kästner:
On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support. ICSE 2022: 1571-1583 - [i5]Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner:
On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support. CoRR abs/2203.10356 (2022) - 2021
- [c5]Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner:
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. ICSE 2021: 1072-1084 - [i4]Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner:
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. CoRR abs/2101.05362 (2021) - 2020
- [j1]Miguel Velez, Pooyan Jamshidi, Florian Sattler, Norbert Siegmund, Sven Apel, Christian Kästner:
ConfigCrusher: towards white-box performance analysis for configurable systems. Autom. Softw. Eng. 27(3): 265-300 (2020)
2010 – 2019
- 2019
- [i3]Miguel Velez, Pooyan Jamshidi, Florian Sattler, Norbert Siegmund, Sven Apel, Christian Kästner:
ConfigCrusher: White-Box Performance Analysis for Configurable Systems. CoRR abs/1905.02066 (2019) - 2018
- [c4]Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund:
Learning to sample: exploiting similarities across environments to learn performance models for configurable systems. ESEC/SIGSOFT FSE 2018: 71-82 - 2017
- [c3]Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund, Prasad Kawthekar:
Transfer Learning for Improving Model Predictions in Highly Configurable Software. SEAMS@ICSE 2017: 31-41 - [c2]Pooyan Jamshidi, Norbert Siegmund, Miguel Velez, Christian Kästner, Akshay Patel, Yuvraj Agarwal:
Transfer learning for performance modeling of configurable systems: an exploratory analysis. ASE 2017: 497-508 - [i2]Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund, Prasad Kawthekar:
Transfer Learning for Improving Model Predictions in Highly Configurable Software. CoRR abs/1704.00234 (2017) - [i1]Pooyan Jamshidi, Norbert Siegmund, Miguel Velez, Christian Kästner, Akshay Patel, Yuvraj Agarwal:
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis. CoRR abs/1709.02280 (2017) - 2016
- [c1]Miguel Velez, Jason Sawin, Alexia Ingerson, David Chiu:
Improving Bitmap Execution Performance Using Column-Based Metadata. FiCloud 2016: 371-378
Coauthor Index
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