Islem Bouzenia - Software Lab - Department of Computer Science - University of Stuttgart

Islem Bouzenia

E-mail:: islem.bouzenia at iste.uni-stuttgart.de
Address:: Institut für Softwaretechnologie
Universitätsstr. 38
70569 Stuttgart

Currently a PhD student at the University of Stuttgart, advised by Prof. Dr. Michael Pradel. I hold an Engineering degree from Ecole Supérieur d'Informatique (ESI, ex. INI) since 2020. Previously worked as a research engineer in artificial intelligence and data science at the Multidisciplinary Institute for Artificial Inteligence (MIAI, GRENOBLE, FRANCE). I developed a strong interest for research work during my final year's thesis particularly in the fields of Machine Learning, Software/Systems vulnerabilities and automation. My journey of research is still young and I will keep you updated with my last discoveries.

Career

PhD student at SOLA: Universität Stuttgart, Germany
Research Engineer AI / Data Science: MIAI GRENOBLE, France
Oct 2020 – Aug 2021
Engineering degree in Computer Science: Ecole Supérieure d'Informatique, Algiers
Sep 2015 – June 2020

Research Projects

You name it, I run it: An LLM agent to execute tests of arbitrary projects (ISSTA 2025)
Islem Bouzenia, Michael Pradel.
[pdf] [code and data]

Issue2Test: Generating Reproducing Test Cases from Issue Reports (Arxiv)
N Nashid, I Bouzenia, M Pradel, A Mesbah.
[pdf]

RepairAgent: An autonomous, llm-based agent for program repair (ICSE 2025)
Islem Bouzenia, Prem Devanbu, Michael Pradel.
[pdf] [code and data]

DyPyBench: A Benchmark of Executable Python Software (FSE 2024)
Islem Bouzenia, Michael Pradel.
[pdf] [code and data]

Resource Usage and Optimization Opportunities in Workflows of GitHub Actions (ICSE 2024)
Islem Bouzenia, Michael Pradel.
[pdf] [code and data]

When to Say What: Learning to Find Inconsistencies in Condition-Message Statements (ICSE 2023)
Islem Bouzenia, Michael Pradel.
[paper] [code]

TraceFixer: Execution Trace-Driven Program Repair
[paper] [data and scripts]

Awards

1st Place at ASE 2022 student research competition

ASE 2022, Michigan, USA

Other Work

Detecting Malware Using Deep Learning (Graduation Project 2020)
[code]

Exploring the Online Micro-targeting Practices of Small, Medium, and Large Businesses (CSCW 2022)

Additional

Google scholar GitHub Medium

News and Events

5/2025: Group retreat in Maulbronn.

5/2025: Our MSR'25 paper on using LLMs for annotating software engineering artifacts has received an ACM SIGSOFT Distinguished Paper Award.

4/2025: Big news: Starting from September, the Software Lab will join CISPA, where Michael will be a faculty member while remaining a professor at the University of Stuttgart.

4/2025: Our work on DyLin, a dynamic linter for Python, will be presented at FSE'25.

4/2025: Our paper on ExecutionAgent has been accepted at ISSTA'25.

3/2025: Welcome to Cristian Cadar, who is joining the lab as a visiting professor supported by a Humboldt Research Award (picture).

3/2025: Don't like regressions? Checkout Testora, which detects regressions by leveraging the natural language information provided in pull requests.

3/2025: Michael will serve as PC co-chair of FSE 2027.

3/2025: Doehyun is joining the group as a PhD student. Welcome!

2/2025: Opinion article on agentic-AI-based software engineering.

1/2025: Our work on Treefix, an LLM-based approach toward learning-guided execution, will be presented at ICSE'25.

1/2025: Two papers accepted to FSE'25: (i) validating code changes via learning-guided execution and (ii) a study of suppressed static analysis warnings.

1/2025: Our paper on using LLMs instead of manual annotation of software engineering artifacts will be presented at MSR'25.

12/2024: Need to build and test a project? Check out ExecutionAgent, our new technique for automatically installing, configuring, and testing arbitrary software projects.

11/2024: Welcome to Jialun Cao, who is joining the lab as a visiting professor.

11/2024: Our work on RepairAgent, an autonomous LLM agent for program repair, will be presented at ICSE'25.

10/2024: Welcome to Zhongxin Liu, who is joining the lab as a visiting professor.

7/2024: We have an opening for a(nother) full professor in Software Engineering at the University of Stuttgart.

7/2024: Our work on calibration and correctness of LLMs for code will appear at ICSE'25.

7/2024: Michael is joining UCLA for part two of his sabbatical.

6/2024: Wasm-R3, the first record-and-replay technique for WebAssembly, will be presented at OOPSLA'24. Congrats to everyone involved in this CMU-Google-KAIST-Stuttgart collaboration.

4/2024: LintQ, our static analysis framework for checking quantum programs, will be presented at FSE'24.

3/2024: Introducing RepairAgent, the first autonomous, LLM-based agent for automated program repair.

2/2024: Michael is joining UC Berkeley for a sabbatical.

2/2024: Luca has successfully defended his PhD thesis on "Supporting Software Evolution via Search and Prediction" and is starting a post-doc at USI Lugano.

1/2024: DyPyBench, a novel benchmark of executable Python code, will be presented at FSE'24.

12/2023: Our paper on repairing static type errors in Python will be presented at ICSE'24.

12/2023: ACM SIGSOFT Distinguished Paper Award for our work on LExecutor.

10/2023: Our work on universal fuzzing with large language models will be presented at ICSE'24.

9/2023: Daniel receives the infos award for the best PhD thesis of the year 2022 in our Computer Science Department. Congrats!

8/2023: Our empirical study of workflows of GitHub Actions will be presented at ICSE'24.

8/2023: Group retreat at Obermarchtal.

7/2023: Our work on LExecutor will be presented at FSE'23. Congrats to Beatriz on the first top-tier paper during her PhD!

7/2023: Two awards at ISSTA'23: An ACM SIGSOFT Distinguished Paper Award for bimodal taint analysis and an ACM SIGSOFT Distinguished Artifact Award for our work on WebAssembly call graphs.

7/2023: Co-organizing two Dagstuhl seminars in 2024: Code Search (April) and Automated Programming and Program Repair (October).

6/2023: Thanks to Prem Devanbu for the amazing time we had during his five-month visit of our lab.

5/2023: Interested in call graphs and/or WebAssembly? Check out our new ISSTA'23 paper.

5/2023: Luca is heading out for an internship at Uber. Have fun!

4/2023: Beatriz is joining the group as a PhD student.

2/2023: Prem Devanbu is joining the lab for five months with a Humboldt Research Award. Welcome!

2/2023: Fun and inspiring Dagstuhl seminar on Programming Language Processing.

1/2023: Our paper on bimodal taint analysis will be presented at ISSTA'23.

12/2022: Four papers accepted at ICSE'23. Congrats to everyone involved!

12/2022: Michael gets recognized as an ACM Distinguished Member.

11/2022: Our work on DiffSearch (paper, tool) will appear in IEEE TSE.

10/2022: Islem wins the ACM Student Research Competition at ASE'22 for his work on detecting inconsistencies in if-condition-raise statements.

10/2022: Our ASE'22 paper on CrystalBLEU has been selected for an ACM SIGSOFT Distinguished Paper Award.

10/2022: Our survey of code search techniques will appear in ACM CSUR.

10/2022: Huimin Hu is joining the group as a PhD student. Welcome!

9/2022: Our paper on type annotations in Python is receiving an ACM SIGSOFT Distinguished Paper Award at FSE'22.

9/2022: Michael will serve as PC Chair of ISSTA 2024.

7/2022: Our work on CrystalBLEU, a novel metric for measuring the similarity of code, will be presented at ASE'22. Congrats to Aryaz!

7/2022: Daniel successfully (with summa cum laude) defends his PhD on program analysis for WebAssembly. Congrats!

6/2022: Three papers accepted at FSE'22, on Python type annotations, on the first dynamic analysis framework for Python, and on neural code editing to generate vulnerabilities.

5/2022: Luca wins the 2nd prize in the ACM Student Research Competition at ICSE'22 for his work on DiffSearch. Congrats!

5/2022: Looking for particular kinds of code changes, e.g., to build a dataset? Check out DiffSearch, our scalable and precise search engine for code changes.

5/2022: Group retreat at Schloss Hornberg.

3/2022: Our paper on recovering precise types in WebAssembly binaries will appear at PLDI'22.

3/2022: Our paper on bugs in quantum computing platforms will appear at OOPSLA'22.

2/2022: Interview with Deutschlandfunk (one of three German national radio stations) on neural software analysis.