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ORCIDSarah Nadi
Sara Nadi
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- affiliation: University of Alberta, Edmonton, Canada
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2020 – today
- 2024
[j11]Mohayeminul Islam
, Ajay Kumar Jha, Ildar Akhmetov, Sarah Nadi:
Characterizing Python Library Migrations. Proc. ACM Softw. Eng. 1(FSE): 92-114 (2024)- [j10]Max Schäfer, Sarah Nadi, Aryaz Eghbali, Frank Tip:
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation. IEEE Trans. Software Eng. 50(1): 85-105 (2024) - [c61]Akalanka Galappaththi, Sarah Nadi, Christoph Treude:
An Empirical Study of API Misuses of Data-Centric Libraries. ESEM 2024: 245-256 - [c60]Balreet Grewal, Wentao Lu, Sarah Nadi, Cor-Paul Bezemer:
Analyzing Developer Use of ChatGPT Generated Code in Open Source GitHub Projects. MSR 2024: 157-161 - [i13]Akalanka Galappaththi, Sarah Nadi, Christoph Treude:
An Empirical Study of API Misuses of Data-Centric Libraries. CoRR abs/2408.15853 (2024) - 2023
- [j9]Max Ellis, Sarah Nadi, Danny Dig:
Operation-Based Refactoring-Aware Merging: An Empirical Evaluation. IEEE Trans. Software Eng. 49(4): 2698-2721 (2023) - [c59]Sharon Chee Yin Ho, Vahid Majdinasab, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza:
An Empirical Study on Bugs Inside PyTorch: A Replication Study. ICSME 2023: 220-231 - [c58]Henry Tang, Sarah Nadi:
Evaluating Software Documentation Quality. MSR 2023: 67-78 - [c57]Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi, Ildar Akhmetov:
PyMigBench: A Benchmark for Python Library Migration. MSR 2023: 511-515 - [c56]Stefan Krüger, Michael Reif, Anna-Katharina Wickert, Sarah Nadi, Karim Ali, Eric Bodden, Yasemin Acar, Mira Mezini, Sascha Fahl:
Securing Your Crypto-API Usage Through Tool Support - A Usability Study. SecDev 2023: 14-25 - [c55]Ajay Kumar Jha, Mohayeminul Islam, Sarah Nadi:
JTestMigBench and JTestMigTax: A benchmark and taxonomy for unit test migration. SANER 2023: 713-717 - [i12]Max Schäfer, Sarah Nadi, Aryaz Eghbali, Frank Tip:
Adaptive Test Generation Using a Large Language Model. CoRR abs/2302.06527 (2023) - [i11]Akalanka Galappaththi, Sarah Nadi:
A Data Set of Generalizable Python Code Change Patterns. CoRR abs/2304.04983 (2023) - [i10]Vahid Majdinasab, Sharon Chee Yin Ho, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza:
An Empirical Study on Bugs Inside PyTorch: A Replication Study. CoRR abs/2307.13777 (2023) - 2022
- [j8]John Businge, Moses Openja, Sarah Nadi, Thorsten Berger:
Reuse and maintenance practices among divergent forks in three software ecosystems. Empir. Softw. Eng. 27(2): 54 (2022) - [c54]Mansur Gulami, Ajay Kumar Jha, Sarah Nadi, Karim Ali, Yee-Kang Chang, Emily Jiang:
A Human-in-the-loop Approach to Generate Annotation Usage Rules. CASCON 2022: 91-100 - [c53]Sarah Nadi, Jianguo Yao:
Artificial Neural Networks for Downbeat Estimation and Varying Tempo Induction in Music Signals. ICONIP (6) 2022: 39-51 - [c52]Batyr Nuryyev, Ajay Kumar Jha, Sarah Nadi, Yee-Kang Chang, Emily Jiang, Vijay Sundaresan:
Mining Annotation Usage Rules: A Case Study with MicroProfile. ICSME 2022: 553-562 - [c51]Nhan Nguyen, Sarah Nadi:
An Empirical Evaluation of GitHub Copilot's Code Suggestions. MSR 2022: 1-5 - [c50]Akalanka Galappaththi, Sarah Nadi, Christoph Treude:
Does This Apply to Me? An Empirical Study of Technical Context in Stack Overflow. MSR 2022: 23-34 - [i9]Akalanka Galappaththi, Sarah Nadi, Christoph Treude:
Does This Apply to Me? An Empirical Study of Technical Context in Stack Overflow. CoRR abs/2204.00110 (2022) - [i8]Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi:
PyMigBench and PyMigTax: A Benchmark and Taxonomy for Python Library Migration. CoRR abs/2207.01124 (2022) - 2021
- [j7]Henry Tang, Sarah Nadi:
On using Stack Overflow comment-edit pairs to recommend code maintenance changes. Empir. Softw. Eng. 26(4): 68 (2021) - [j6]Shamsa Abid, Shafay Shamail, Hamid Abdul Basit, Sarah Nadi:
FACER: An API usage-based code-example recommender for opportunistic reuse. Empir. Softw. Eng. 26(5): 110 (2021) - [c49]Batyr Nuryyev, Sarah Nadi, Nazim Uddin Bhuiyan, Leonardo Banderali:
Challenges of Implementing Software Variability in Eclipse OMR: An Interview Study. ICSE (SEIP) 2021: 31-40 - [c48]Patrick Franz, Thorsten Berger, Ibrahim Fayaz, Sarah Nadi, Evgeny Groshev:
ConfigFix: Interactive Configuration Conflict Resolution for the Linux Kernel. ICSE (SEIP) 2021: 91-100 - [i7]Max Ellis, Sarah Nadi, Danny Dig:
A Systematic Comparison of Two Refactoring-aware Merging Techniques. CoRR abs/2112.10370 (2021) - 2020
- [c47]Changyuan Lin, Sarah Nadi, Hamzeh Khazaei:
A Large-scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub. ICSME 2020: 371-381 - [c46]Larissa Rocha Soares, Ivan Machado, Eduardo Santana de Almeida, Christian Kästner, Sarah Nadi:
A semi-automated iterative process for detecting feature interactions. SBES 2020: 778-787 - [c45]Ajay Kumar Jha, Sarah Nadi:
Annotation practices in Android apps. SCAM 2020: 132-142 - [c44]Sven Amann, Hoan Anh Nguyen, Sarah Nadi, Tien N. Nguyen, Mira Mezini:
Investigating Next Steps in Static API-Misuse Detection. SE 2020: 109-110 - [c43]Rehab El Hajj, Sarah Nadi:
LibComp: an IntelliJ plugin for comparing Java libraries. ESEC/SIGSOFT FSE 2020: 1591-1595 - [c42]Sarah Nadi, Christoph Treude:
Essential Sentences for Navigating Stack Overflow Answers. SANER 2020: 229-239 - [e3]Sunghun Kim, Georgios Gousios, Sarah Nadi, Joseph Hejderup:
MSR '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020. ACM 2020, ISBN 978-1-4503-7517-7 [contents] - [e2]Rafael Capilla, Philippe Collet, Paul Gazzillo, Jacob Krüger, Roberto Erick Lopez-Herrejon, Sarah Nadi, Gilles Perrouin, Iris Reinhartz-Berger, Julia Rubin, Ina Schaefer:
SPLC '20: 24th ACM International Systems and Software Product Line Conference, Montreal, Quebec, Canada, October 19-23, 2020, Volume B. ACM 2020, ISBN 978-1-4503-7570-2 [contents] - [i6]Henry Tang, Sarah Nadi:
Can We Use Stack Overflow as a Source of Explainable Bug-fix Data? CoRR abs/2004.08378 (2020) - [i5]Patrick Franz, Thorsten Berger, Ibrahim Fayaz, Sarah Nadi, Evgeny Groshev:
ConfigFix: Interactive Configuration Conflict Resolution for the Linux Kernel. CoRR abs/2012.15342 (2020)
2010 – 2019
- 2019
- [j5]Sven Amann, Hoan Anh Nguyen, Sarah Nadi, Tien N. Nguyen, Mira Mezini:
A Systematic Evaluation of Static API-Misuse Detectors. IEEE Trans. Software Eng. 45(12): 1170-1188 (2019) - [c41]Moein Owhadi-Kareshk, Sarah Nadi, Julia Rubin:
Predicting Merge Conflicts in Collaborative Software Development. ESEM 2019: 1-11 - [c40]Abhishek Soni, Sarah Nadi:
Analyzing comment-induced updates on stack overflow. MSR 2019: 220-234 - [c39]Sven Amann, Hoan Anh Nguyen, Sarah Nadi, Tien N. Nguyen, Mira Mezini:
Investigating next steps in static API-misuse detection. MSR 2019: 265-275 - [c38]Aida Radu, Sarah Nadi:
A dataset of non-functional bugs. MSR 2019: 399-403 - [c37]Moein Owhadi-Kareshk, Sarah Nadi:
Scalable software merging studies with MergAnser. MSR 2019: 560-564 - [c36]Mehran Mahmoudi, Sarah Nadi, Nikolaos Tsantalis:
Are Refactorings to Blame? An Empirical Study of Refactorings in Merge Conflicts. SANER 2019: 151-162 - [i4]Moein Owhadi-Kareshk, Sarah Nadi, Julia Rubin:
Predicting Merge Conflicts in Collaborative Software Development. CoRR abs/1907.06274 (2019) - [i3]Sarah Nadi, Christoph Treude:
Essential Sentences for Navigating Stack Overflow Answers. CoRR abs/1912.13455 (2019) - 2018
- [c35]Sara Nadi, Jimmy Hedstrom, Miroslaw Staron:
Using Self-Healing to Increase Robustness of Handling In-Browser Third-Party Content. SEAA 2018: 210-213 - [c34]Larissa Rocha Soares, Jens Meinicke, Sarah Nadi, Christian Kästner, Eduardo Santana de Almeida:
Exploring feature interactions without specifications: a controlled experiment. GPCE 2018: 40-52 - [c33]Fernando López de la Mora, Sarah Nadi:
Which library should I use?: a metric-based comparison of software libraries. ICSE (NIER) 2018: 37-40 - [c32]John Businge, Moses Openja, Sarah Nadi, Engineer Bainomugisha, Thorsten Berger:
Clone-Based Variability Management in the Android Ecosystem. ICSME 2018: 625-634 - [c31]Ervina Çergani, Sebastian Proksch, Sarah Nadi, Mira Mezini:
Investigating Order Information in API-Usage Patterns: A Benchmark and Empirical Study. ICSOFT 2018: 91-102 - [c30]Sebastian Proksch, Sven Amann, Sarah Nadi:
Enriched event streams: a general dataset for empirical studies on in-IDE activities of software developers. MSR 2018: 62-65 - [c29]Mehran Mahmoudi, Sarah Nadi:
The Android update problem: an empirical study. MSR 2018: 220-230 - [c28]Fernando López de la Mora, Sarah Nadi:
An Empirical Study of Metric-based Comparisons of Software Libraries. PROMISE 2018: 22-31 - [c27]Samer Al Masri, Sarah Nadi, Matthew Gaudet, Xiaoli Liang, Robert W. Young:
Using static analysis to support variability implementation decisions in C++. SPLC 2018: 236-245 - [c26]Larissa Rocha Soares, Jens Meinicke, Sarah Nadi, Christian Kästner, Eduardo Santana de Almeida:
VarXplorer: Lightweight Process for Dynamic Analysis of Feature Interactions. VaMoS 2018: 59-66 - [e1]Thorsten Berger, Paulo Borba, Goetz Botterweck, Tomi Männistö, David Benavides, Sarah Nadi, Timo Kehrer, Rick Rabiser, Christoph Elsner, Mukelabai Mukelabai:
Proceeedings of the 22nd International Systems and Software Product Line Conference - Volume 1, SPLC 2018, Gothenburg, Sweden, September 10-14, 2018. ACM 2018 [contents] - [i2]Mehran Mahmoudi, Sarah Nadi:
An Empirical Study of Android Changes in CyanogenMod. CoRR abs/1801.02716 (2018) - 2017
- [j4]Guido Salvaneschi, Sebastian Proksch, Sven Amann, Sarah Nadi, Mira Mezini:
On the Positive Effect of Reactive Programming on Software Comprehension: An Empirical Study. IEEE Trans. Software Eng. 43(12): 1125-1143 (2017) - [c25]Samer Al Masri, Nazim Uddin Bhuiyan, Sarah Nadi, Matthew Gaudet:
Software variability through C++ static polymorphism: a case study of challenges and open problems in eclipse OMR. CASCON 2017: 285-291 - [c24]Sarah Nadi, Tien N. Nguyen, Hoan Nguyen, Sven Amann:
WAPI 2017 Workshop Summary. WAPI@ICSE 2017: 1 - [c23]Stefan Krüger, Sarah Nadi, Michael Reif, Karim Ali, Mira Mezini, Eric Bodden, Florian Göpfert, Felix Günther, Christian Weinert, Daniel Demmler, Ram Kamath:
CogniCrypt: supporting developers in using cryptography. ASE 2017: 931-936 - [c22]Sarah Nadi, Stefan Krüger, Mira Mezini, Eric Bodden:
"Jumping Through Hoops": Why do Java Developers Struggle With Cryptography APIs? Software Engineering 2017: 57 - [c21]Sebastian Proksch, Sarah Nadi, Sven Amann, Mira Mezini:
Enriching in-IDE process information with fine-grained source code history. SANER 2017: 250-260 - [i1]Sven Amann, Hoan Anh Nguyen, Sarah Nadi, Tien N. Nguyen, Mira Mezini:
A Systematic Evaluation of API-Misuse Detectors. CoRR abs/1712.00242 (2017) - 2016
- [c20]Sarah Nadi, Stefan Krüger, Mira Mezini, Eric Bodden:
Jumping through hoops: why do Java developers struggle with cryptography APIs? ICSE 2016: 935-946 - [c19]Sven Amann, Sebastian Proksch, Sarah Nadi:
FeedBaG: An interaction tracker for Visual Studio. ICPC 2016: 1-3 - [c18]Sebastian Proksch, Sven Amann, Sarah Nadi, Mira Mezini:
Evaluating the evaluations of code recommender systems: a reality check. ASE 2016: 111-121 - [c17]Sven Amann, Sarah Nadi, Hoan Anh Nguyen, Tien N. Nguyen, Mira Mezini:
MUBench: a benchmark for API-misuse detectors. MSR 2016: 464-467 - [c16]Sebastian Proksch, Sven Amann, Sarah Nadi, Mira Mezini:
A dataset of simplified syntax trees for C#. MSR 2016: 476-479 - [c15]Ervina Çergani, Sebastian Proksch, Sarah Nadi, Mira Mezini:
Addressing scalability in API method call analytics. SWAN@SIGSOFT FSE 2016: 1-7 - [c14]Sarah Nadi, Stefan Krüger:
Variability Modeling of Cryptographic Components: Clafer Experience Report. VaMoS 2016: 105-112 - [c13]Sven Amann, Sebastian Proksch, Sarah Nadi, Mira Mezini:
A Study of Visual Studio Usage in Practice. SANER 2016: 124-134 - 2015
- [j3]Flávio Medeiros, Christian Kästner, Márcio Ribeiro, Sarah Nadi, Rohit Gheyi:
The Love/Hate Relationship with the C Preprocessor: An Interview Study (Artifact). Dagstuhl Artifacts Ser. 1(1): 07:1-07:32 (2015) - [j2]Sarah Nadi, Thorsten Berger, Christian Kästner, Krzysztof Czarnecki:
Where Do Configuration Constraints Stem From? An Extraction Approach and an Empirical Study. IEEE Trans. Software Eng. 41(8): 820-841 (2015) - [c12]Flávio Medeiros, Christian Kästner, Márcio Ribeiro, Sarah Nadi, Rohit Gheyi:
The Love/Hate Relationship with the C Preprocessor: An Interview Study. ECOOP 2015: 495-518 - [c11]Shurui Zhou, Jafar M. Al-Kofahi, Tien N. Nguyen, Christian Kästner, Sarah Nadi:
Extracting Configuration Knowledge from Build Files with Symbolic Analysis. RELENG@ICSE 2015: 20-23 - [c10]Steven Arzt, Sarah Nadi, Karim Ali, Eric Bodden, Sebastian Erdweg, Mira Mezini:
Towards secure integration of cryptographic software. Onward! 2015: 1-13 - [c9]Thorsten Berger, Sarah Nadi:
Variability Models in Large-Scale Systems: A Study and a Reverse-Engineering Technique. Software Engineering & Management 2015: 80-81 - 2014
- [b1]Sarah Nadi:
Variability Anomalies in Software Product Lines. University of Waterloo, Ontario, Canada, 2014 - [j1]Sarah Nadi, Richard C. Holt:
The Linux kernel: a case study of build system variability. J. Softw. Evol. Process. 26(8): 730-746 (2014) - [c8]Sarah Nadi, Thorsten Berger, Christian Kästner, Krzysztof Czarnecki:
Mining configuration constraints: static analyses and empirical results. ICSE 2014: 140-151 - 2013
- [c7]Sarah Nadi:
A study of variability spaces in open source software. ICSE 2013: 1353-1356 - [c6]Sarah Nadi, Christian Dietrich, Reinhard Tartler, Richard C. Holt, Daniel Lohmann:
Linux variability anomalies: what causes them and how do they get fixed? MSR 2013: 111-120 - [c5]Hadi Hemmati, Sarah Nadi, Olga Baysal, Oleksii Kononenko, Wei Wang, Reid Holmes, Michael W. Godfrey:
The MSR cookbook: mining a decade of research. MSR 2013: 343-352 - 2012
- [c4]Sarah Nadi, Richard C. Holt:
Mining Kbuild to Detect Variability Anomalies in Linux. CSMR 2012: 107-116 - 2011
- [c3]Sarah Nadi, Richard C. Holt:
Make it or Break it: Mining Anomalies from Linux Kbuild. WCRE 2011: 315-324 - 2010
- [c2]Sarah Nadi, Richard C. Holt, Serge Mankovski:
Does the Past Say It All? Using History to Predict Change Sets in a CMDB. CSMR 2010: 97-106
2000 – 2009
- 2009
- [c1]Sarah Nadi, Richard C. Holt, Ian J. Davis, Serge Mankovski:
DRACA: decision support for root cause analysis and change impact analysis for CMDBs. CASCON 2009: 1-11
Coauthor Index
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