J
Jacques Klein
Researcher at University of Luxembourg
Publications - 230
Citations - 10443
Jacques Klein is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Android (operating system) & Computer science. The author has an hindex of 44, co-authored 196 publications receiving 8445 citations. Previous affiliations of Jacques Klein include French Institute for Research in Computer Science and Automation.
Papers
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Proceedings Article
[Journal First] Augmenting and Structuring User Queries to Support Efficient Free-Form Code Search
Raphael Sirres,Tegawendé F. Bissyandé,Dongsun Kim,David Lo,Jacques Klein,Kisub Kim,Yves Le Traon +6 more
TL;DR: This paper builds GitSearch, a code search engine on top of GitHub and Stack Overflow Q&A data that leverages common developer questions and the associated expert answers to augment user queries with the relevant, but missing, structural code entities in order to improve the performance of matching relevant code examples within large code repositories.
Proceedings ArticleDOI
Sensitive and Personal Data: What Exactly Are You Talking About?
TL;DR: A review of the literature reveals a lack of consensus on what sensitive data is in the context of technical frameworks like Android as mentioned in this paper , and therefore, researchers have proposed several frameworks to detect and track the use of sensitive data in apps, so as to disclose and prevent unauthorized access and data leakage.
Journal ArticleDOI
GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks
Xueqi Dang,Yinghua Li,Mike Papadakis,Jacques Klein,Tegawendé F. Bissyandé,Yvesle Traon le Traon +5 more
TL;DR: GraphPrior as mentioned in this paper proposes GraphPrior (GNN-oriented Test Prioritization), a set of approaches to prioritize test inputs specifically for GNNs via mutation analysis, in which test suites are evaluated based on the mutants they kill, and regards test inputs that kill many mutated models as more likely to be misclassified.
Journal ArticleDOI
AI-driven Mobile Apps: an Explorative Study
Yinghua Li,Xueqi Dang,Haoye Tian,Tiezhu Sun,Zhijie Wang,Lei Ma,Jacques Klein,Tegawendé F. Bissyandé +7 more
TL;DR: Li et al. as mentioned in this paper conducted an extensive empirical study on 56,682 published AI apps to promote stakeholders' understanding of real-world AI apps from three perspectives: dataset characteristics, development issues, and user feedback and privacy.
Proceedings ArticleDOI
A Journey Through Android App Analysis: Solutions and Open Challenges
TL;DR: The TruX research group of the interdisciplinary center for Security, Reliability, and Trust (SnT) of the University of Luxembourg has been working for about 10 years to deliver practical techniques, tools, and other artifacts (such as repositories) making the analysis of Android apps possible.