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Reyhaneh Jabbarvand Behrouz

Reyhaneh Jabbarvand

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affiliation: University of Illinois at Urbana-Champaign, USA
affiliation (former): University of California, Irvine, USA

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Books and Theses

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2020
[b1]
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Reyhaneh Jabbarvand Behrouz:
Advancing Energy Testing of Mobile Applications. University of California, Irvine, USA, 2020

Journal Articles

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2024
[j3]
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Reyhaneh Jabbarvand, Saeid Tizpaz-Niari, Earl T. Barr, Satish Chandra:
Summary of the 1st Interpretability and Robustness in Neural Software Engineering (InteNSE 2023). ACM SIGSOFT Softw. Eng. Notes 49(1): 30-33 (2024)
2023
[j2]
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Negar Ghorbani, Reyhaneh Jabbarvand, Navid Salehnamadi, Joshua Garcia, Sam Malek:
DeltaDroid: Dynamic Delivery Testing in Android. ACM Trans. Softw. Eng. Methodol. 32(4): 84:1-84:26 (2023)
2015
[j1]
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Reyhaneh Jabbarvand Behrouz:
ICSE 2015 SIGSOFT CAPS Report. ACM SIGSOFT Softw. Eng. Notes 40(4): 37 (2015)

Conference and Workshop Papers

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2024
[c23]
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Yang Chen, Reyhaneh Jabbarvand:
Can ChatGPT Repair Non-Order-Dependent Flaky Tests? FTW@ICSE 2024: 22-29
[c22]
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Yang Chen, Reyhaneh Jabbarvand:
Can ChatGPT Repair Non-Order-Dependent Flaky Tests? FTW@ICSE 2024: 22-29
[c21]
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Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand:
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. ICSE 2024: 82:1-82:13
[c20]
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Runxiang Cheng, Shuai Wang, Reyhaneh Jabbarvand, Darko Marinov:
Revisiting Test-Case Prioritization on Long-Running Test Suites. ISSTA 2024: 615-627
[c19]
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Yang Chen, Reyhaneh Jabbarvand:
Neurosymbolic Repair of Test Flakiness. ISSTA 2024: 1402-1414
[c18]
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Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji:
LETI: Learning to Generate from Textual Interactions. NAACL-HLT (Findings) 2024: 223-239
2023
[c17]
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Yang Chen, Alperen Yildiz, Darko Marinov, Reyhaneh Jabbarvand:
Transforming Test Suites into Croissants. ISSTA 2023: 1080-1092
[c16]
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Hossein Mohasel Arjomandi, Reyhaneh Jabbarvand:
Interpretable On-the-Fly Repair of Deep Neural Classifiers. SE4SafeML@SIGSOFT FSE 2023: 14-17
2022
[c15]
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Ali Reza Ibrahimzada, Yigit Varli, Dilara Tekinoglu, Reyhaneh Jabbarvand:
Perfect is the enemy of test oracle. ESEC/SIGSOFT FSE 2022: 70-81
2020
[c14]
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Reyhaneh Jabbarvand, Forough Mehralian, Sam Malek:
Automated construction of energy test oracles for Android. ESEC/SIGSOFT FSE 2020: 927-938
2019
[c13]
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Reyhaneh Jabbarvand, Jun-Wei Lin, Sam Malek:
Search-based energy testing of Android. ICSE 2019: 1119-1130
[c12]
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Jun-Wei Lin, Reyhaneh Jabbarvand, Sam Malek:
Test Transfer Across Mobile Apps Through Semantic Mapping. ASE 2019: 42-53
2018
[c11]
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Alireza Sadeghi, Reyhaneh Jabbarvand, Negar Ghorbani, Hamid Bagheri, Sam Malek:
A temporal permission analysis and enforcement framework for Android. ICSE 2018: 846-857
[c10]
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Jun-Wei Lin, Reyhaneh Jabbarvand, Joshua Garcia, Sam Malek:
Nemo: multi-criteria test-suite minimization with integer nonlinear programming. ICSE 2018: 1039-1049
2017
[c9]
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Reyhaneh Jabbarvand:
Advancing energy testing of mobile applications. ICSE (Companion Volume) 2017: 491-492
[c8]
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Reyhaneh Jabbarvand, Sam Malek:
µDroid: an energy-aware mutation testing framework for Android. ESEC/SIGSOFT FSE 2017: 208-219
[c7]
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Alireza Sadeghi, Reyhaneh Jabbarvand, Sam Malek:
PATDroid: permission-aware GUI testing of Android. ESEC/SIGSOFT FSE 2017: 220-232
2016
[c6]
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Hamid Bagheri, Alireza Sadeghi, Reyhaneh Jabbarvand Behrouz, Sam Malek:
Practical, Formal Synthesis and Automatic Enforcement of Security Policies for Android. DSN 2016: 514-525
[c5]
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Reyhaneh Jabbarvand Behrouz, Alireza Sadeghi, Hamid Bagheri, Sam Malek:
Energy-aware test-suite minimization for Android apps. ISSTA 2016: 425-436
2015
[c4]
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Mohammad Hossein Hajkazemi, Michael Chorney, Reyhaneh Jabbarvand Behrouz, Mohammad Khavari Tavana, Houman Homayoun:
Adaptive Bandwidth Management for Performance-Temperature Trade-offs in Heterogeneous HMC+DDRx Memory. ACM Great Lakes Symposium on VLSI 2015: 391-396
[c3]
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Reyhaneh Jabbarvand Behrouz, Alireza Sadeghi, Joshua Garcia, Sam Malek, Paul Ammann:
EcoDroid: An Approach for Energy-Based Ranking of Android Apps. GREENS 2015: 8-14
2014
[c2]
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Reyhaneh Jabbarvand Behrouz, Houman Homayoun:
NVP: Non-uniform voltage and pulse width settings for power efficient hybrid STT-RAM. IGCC 2014: 1-6
2011
[c1]
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Reyhaneh Jabbarvand Behrouz, Mehdi Modarressi, Hamid Sarbazi-Azad:
A reconfigurable fault-tolerant routing algorithm to optimize the network-on-chip performance and latency in presence of intermittent and permanent faults. ICCD 2011: 433-434

Informal and Other Publications

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2024
[i7]
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Changshu Liu, Shizhuo Dylan Zhang, Reyhaneh Jabbarvand:
CodeMind: A Framework to Challenge Large Language Models for Code Reasoning. CoRR abs/2402.09664 (2024)
[i6]
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  - journals/corr/abs-2404-09398
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Yang Chen, Reyhaneh Jabbarvand:
A Generic Approach to Fix Test Flakiness in Real-World Projects. CoRR abs/2404.09398 (2024)
2023
[i5]
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Ali Reza Ibrahimzada, Yigit Varli, Dilara Tekinoglu, Reyhaneh Jabbarvand:
Perfect Is the Enemy of Test Oracle. CoRR abs/2302.01488 (2023)
[i4]
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  - journals/corr/abs-2305-10314
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Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji:
LeTI: Learning to Generate from Textual Interactions. CoRR abs/2305.10314 (2023)
[i3]
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  - journals/corr/abs-2308-03109
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Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand:
Understanding the Effectiveness of Large Language Models in Code Translation. CoRR abs/2308.03109 (2023)
[i2]
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  - journals/corr/abs-2310-02407
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Ali Reza Ibrahimzada, Yang Chen, Ryan Rong, Reyhaneh Jabbarvand:
Automated Bug Generation in the era of Large Language Models. CoRR abs/2310.02407 (2023)
[i1]
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  - journals/corr/abs-2310-15991
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Chenyuan Yang, Yinlin Deng, Runyu Lu, Jiayi Yao, Jiawei Liu, Reyhaneh Jabbarvand, Lingming Zhang:
White-box Compiler Fuzzing Empowered by Large Language Models. CoRR abs/2310.15991 (2023)

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