Caroline Lemieux

941 total citations · 1 hit paper
21 papers, 607 citations indexed

About

Caroline Lemieux is a scholar working on Software, Information Systems and Signal Processing. According to data from OpenAlex, Caroline Lemieux has authored 21 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Software, 16 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Caroline Lemieux's work include Software Testing and Debugging Techniques (19 papers), Software Engineering Research (15 papers) and Software Reliability and Analysis Research (7 papers). Caroline Lemieux is often cited by papers focused on Software Testing and Debugging Techniques (19 papers), Software Engineering Research (15 papers) and Software Reliability and Analysis Research (7 papers). Caroline Lemieux collaborates with scholars based in United States, Canada and Luxembourg. Caroline Lemieux's co-authors include Koushik Sen, Rohan Padhye, Siddhartha Sen, Shuvendu K. Lahiri, Jeevana Priya Inala, Ivan Beschastnikh, Dennis Park, Dawn Song, Roy Fox and Ion Stoica and has published in prestigious journals such as ACM Transactions on Software Engineering and Methodology, International Journal on Software Tools for Technology Transfer and Proceedings of the ACM on Programming Languages.

In The Last Decade

Caroline Lemieux

18 papers receiving 599 citations

Hit Papers

CodaMosa: Escaping Coverage Plateaus in Test Generation w... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
    2023 146 citations Caroline Lemieux, Jeevana Priya Inala et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Caroline Lemieux United States 9 419 329 178 168 112 21 607
Qirun Zhang United States 13 517 1.2× 395 1.2× 202 1.1× 259 1.5× 110 1.0× 31 680
Nathaniel Ayewah United States 9 507 1.2× 639 1.9× 153 0.9× 213 1.3× 156 1.4× 12 779
Rohan Padhye United States 13 299 0.7× 276 0.8× 143 0.8× 163 1.0× 123 1.1× 30 505
Wuwei Shen United States 9 321 0.8× 244 0.7× 151 0.8× 104 0.6× 75 0.7× 30 438
Stefan Bucur Switzerland 7 441 1.1× 334 1.0× 108 0.6× 164 1.0× 247 2.2× 11 636
Andrew Ruef United States 6 301 0.7× 218 0.7× 171 1.0× 226 1.3× 77 0.7× 10 495
Owolabi Legunsen United States 14 523 1.2× 432 1.3× 110 0.6× 60 0.4× 177 1.6× 34 650
Chunqiu Steven Xia United States 8 360 0.9× 357 1.1× 171 1.0× 104 0.6× 127 1.1× 10 632
Cornelius Aschermann Germany 12 485 1.2× 270 0.8× 247 1.4× 405 2.4× 99 0.9× 15 701
Uday P. Khedker India 11 276 0.7× 210 0.6× 232 1.3× 190 1.1× 129 1.2× 26 489

Countries citing papers authored by Caroline Lemieux

Since Specialization
Citations

This map shows the geographic impact of Caroline Lemieux's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Caroline Lemieux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Lemieux more than expected).

Fields of papers citing papers by Caroline Lemieux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Lemieux. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Caroline Lemieux. The network helps show where Caroline Lemieux may publish in the future.

Co-authorship network of co-authors of Caroline Lemieux

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Lemieux. A scholar is included among the top collaborators of Caroline Lemieux based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caroline Lemieux. Caroline Lemieux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lemieux, Caroline, et al.. (2025). The Havoc Paradox in Generator-Based Fuzzing. ACM Transactions on Software Engineering and Methodology. 35(1). 1–26.
2.
3.
Lemieux, Caroline, et al.. (2024). QuAC: Quick Attribute-Centric Type Inference for Python. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 2040–2069.
4.
Lemieux, Caroline, Jeevana Priya Inala, Shuvendu K. Lahiri, & Siddhartha Sen. (2023). CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models. 919–931. 146 indexed citations breakdown →
5.
Lemieux, Caroline, et al.. (2021). Learning Highly Recursive Input Grammars. 456–467. 16 indexed citations
6.
Lemieux, Caroline, et al.. (2021). Gauss: program synthesis by reasoning over graphs. Proceedings of the ACM on Programming Languages. 5(OOPSLA). 1–29. 3 indexed citations
7.
Lemieux, Caroline, et al.. (2020). Quickly Generating Diverse Valid Test Inputs with Reinforcement Learning ICSE 2020. International Conference on Software Engineering. 1 indexed citations
8.
Lemieux, Caroline, et al.. (2020). Quickly generating diverse valid test inputs with reinforcement learning. 1410–1421. 21 indexed citations
9.
Lemieux, Caroline & Koushik Sen. (2020). FairFuzz-TC: a fuzzer targeting rare branches. International Journal on Software Tools for Technology Transfer. 23(6). 863–866. 2 indexed citations
10.
Padhye, Rohan, Caroline Lemieux, Koushik Sen, Mike Papadakis, & Yves Le Traon. (2019). Validity Fuzzing and Parametric Generators for Effective Random Testing. Open Repository and Bibliography (University of Luxembourg). 266–267. 8 indexed citations
11.
Lemieux, Caroline, et al.. (2019). AutoPandas: neural-backed generators for program synthesis. Proceedings of the ACM on Programming Languages. 3(OOPSLA). 1–27. 42 indexed citations
12.
Padhye, Rohan, Caroline Lemieux, Koushik Sen, Laurent Simon, & Hayawardh Vijayakumar. (2019). FuzzFactory: domain-specific fuzzing with waypoints. Proceedings of the ACM on Programming Languages. 3(OOPSLA). 1–29. 41 indexed citations
13.
Padhye, Rohan, Caroline Lemieux, & Koushik Sen. (2019). JQF: coverage-guided property-based testing in Java. 398–401. 58 indexed citations
14.
Babić, Domagoj, Stefan Bucur, Yaohui Chen, et al.. (2019). FUDGE: fuzz driver generation at scale. 975–985. 67 indexed citations
15.
Padhye, Rohan, Caroline Lemieux, Koushik Sen, Mike Papadakis, & Yves Le Traon. (2018). Zest: Validity Fuzzing and Parametric Generators for Effective Random Testing. arXiv (Cornell University). 5 indexed citations
16.
Lemieux, Caroline, Rohan Padhye, Koushik Sen, & Dawn Song. (2018). PerfFuzz: automatically generating pathological inputs. 254–265. 97 indexed citations
17.
Lemieux, Caroline, et al.. (2018). Neural Inference of API Functions from Input–Output Examples. 1 indexed citations
18.
Lemieux, Caroline. (2015). Mining temporal properties of data invariants. International Conference on Software Engineering. 2. 751–753. 5 indexed citations
19.
Lemieux, Caroline, Dennis Park, & Ivan Beschastnikh. (2015). General LTL Specification Mining (T). 81–92. 88 indexed citations
20.
Lemieux, Caroline. (2015). Mining Temporal Properties of Data Invariants. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 751–753. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026