Jacques Klein (0000-0003-4052-475X)

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Biography

Web Page: https://jacquesklein2302.github.io/

Since 2010, I have been working at the SnT center of the University of Luxembourg, first as a Research Scientist (from 2010 to 2015), then as a Senior Research Scientist (Faculty position, from 2015 to 2019), and as Chief Scientist I (Associate Prof., from 2019 to 2022). Finally, in January 2023, I was promoted to full professor (Chief Scientist II).

With my colleague Prof. Bissyande, we are heading the TruX research group. Since Oct. 2018, I have been a member of the University Council of the University of Luxembourg as a representative of the Interdisciplinary Centers Professors. From August 2021 to May 2022, I was a visiting scholar at the University of Washington, Seattle, in the PLSE group (mostly working with Prof. Mike Ernst and Prof. René Just).

I am working in Software Engineering and Software Security, with a specific focus on:
- Program analysis -- applied to mobile security,
- Software debugging -- especially bug localization and program repair, and
- NLP and AI for software engineering -- especially to devise new code representation techniques.

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University of Luxembourg: Luxembourg, LU

2023-01-01 to present | Full Prof. (Chief Scientist I) (SnT)

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Jacques Klein

https://orcid.org/0000-0003-4052-475X

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Employment (7)

University of Luxembourg: Luxembourg, LU

University of Luxembourg: Luxembourg, LU

University of Luxembourg: Luxembourg, LU

University of Luxembourg: Luxembourg, LU

Centre de Recherche Public Gabriel Lippmann: Belvaux, LU

University of Luxembourg: Luxembourg, LU

Inria Centre de Recherche Rennes Bretagne Atlantique: Rennes, Bretagne, FR

Education and qualifications (3)

University of Rennes 1: Rennes, FR

Université de Haute-Alsace: Mulhouse, Grand Est, FR

ENSISA (formerly ESSAIM): Mulhouse, Alsace, FR

Professional activities (8)

Organizing Chair of the 6th IEEE International Conference on Software Testing, Verification and Valida- tion (ICST 2013): Luxembourg, LU

General Co-Chair of the Automated Software Engineering Conference 2023 (ASE 2023): Luxembourg, LU

Conference Program Committee Member: SANNER 2022, ASE 2021, MSR 2021 Registered Report, MobileSoft 2021, ASE 2020, ICSE 2020, SPLC 2019, ISSTA 2018, etc.: Luxembourg, LU

Co-Chair of the Artifact Evaluation Committee of ESSOS 2016: London, GB

KDD Health Day, AI for COVID-19: Virtual Event, US

Information Processing Society of Japan: Tokyo, JP

MSR Committee: Gothenburg, SE

SANER Committee: Osaka, JP

Funding (18)

ReProcess: Pre And Post Processing For Comprehensive And Practical Android App Static Analysis

LuxemBERT: Multilingual NLP coping with Luxembourg Specificities for the Financial Industry

IDAE (Integrative Data Analysis in Epilepsy)

LuxWays (Luxembourg/West-Africa Lab for Higher Education Capacity Building in CyberSecurity and Emerging Topics in ICT4Dev)

Research Stay at University of Washington and Microsoft Research for Secure and Reliable Software Systems

BGL Language Model for Lux. - BGL BNP Paribas Industrial Partnership

SPARTA

Explainable Machine Learning in FinTech

Characterization of Malicious Code in Mobile Apps: Towards Accurate and Explainable Malware Detection

BGL Explainable Machine Learning - BGL BNP Paribas Industrial Partnership

BGL Text Mining - BGL BNP Paribas Industrial Partnership

HitDroid: Hinting at Malicious Code in Android Apps with Graph and Data Clustering Techniques

LuxSE: Luxembourg Stock Exchange Industrial Partnership: Automated Document Processing

Paul Würth Industrial Partnership (Smart Building)

Static Analysis For Android Security: Building the Map of Android Inter-Application Communication

Static Analysis for Android Security (together with Penn State University and TU Darmstadt)

CREOS Industrial Partnership on Smart Grid Cyber-Security

Modeling, Composing and Testing of Security Concerns

Works (50 of 188)

Conventional Machine Learning-Based Android Malware Detectors

An empirical study of AI techniques in mobile applications

How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective

You Don’t Have to Say Where to Edit! jLED – Joint Learning to Localize and Edit Source Code

Corrections to “Dynamic Security Analysis on Android: A Systematic Literature Review”

Dynamic Security Analysis on Android: A Systematic Literature Review

LLM for Mobile: An Initial Roadmap

Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning

Temporal-Incremental Learning for Android Malware Detection

Cross-lingual Code Clone Detection: When LLMs Fail Short Against Embedding-based Classifier

DataRecipe --- How to Cook the Data for CodeLLM?

LLMs and Prompting for Unit Test Generation: A Large-Scale Evaluation

DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware

Improving Logic Bomb Identification in Android Apps via Context-Aware Anomaly Detection

Call Graph Soundness in Android Static Analysis

CREF: An LLM-Based Conversational Software Repair Framework for Programming Tutors

Test Input Prioritization for Graph Neural Networks

Test Input Prioritization for 3D Point Clouds

AndroLibZoo: A Reliable Dataset of Libraries Based on Software Dependency Analysis

AndroZoo: A Retrospective with a Glimpse into the Future

Automatic Generation of Test Cases based on Bug Reports: a Feasibility Study with Large Language Models

Enhancing Text-to-SQL Translation for Financial System Design

Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation

Learning to Represent Patches

Revisiting Android App Categorization

PyScribe–Learning to describe python code

Test Input Prioritization for Machine Learning Classifiers

Big Code Search: A Bibliography