MagpieBridge: A General Approach to Integrating Static Analyses into IDEs and Editors (Tool Insights Paper). - Linghui Luo; Julian Dolby; Eric Bodden (ECOOP, 2019)

MULTISKIPGRAPH: A Self-Stabilizing Overlay Network that Maintains Monotonic Searchability. - Linghui Luo; Christian Scheideler; Thim Strothmann (IPDPS, 2019)

A Qualitative Analysis of Android Taint-Analysis Results. - Linghui Luo; Eric Bodden; Johannes Späth (ASE, 2019)

Heaps'n Leaks: How Heap Snapshots Improve Android Taint Analysis. - Manuel Benz; Erik Krogh Kristensen; Linghui Luo; Nataniel P. Borges Jr.; Eric Bodden; Andreas Zeller (Software Engineering, 2021)

A general approach to modeling Java framework behaviors. - Linghui Luo (ESEC/SIGSOFT FSE, 2021)

IDE support for cloud-based static analyses. - Linghui Luo; Martin Schäf; Daniel Sanchez; Eric Bodden (ESEC/SIGSOFT FSE, 2021)

Improving real-world applicability of static taint analysis. - Linghui Luo (2021)

Verbesserung der Praxistauglichkeit der statischen Taint-Analyse. - Linghui Luo (Ausgezeichnete Informatikdissertationen, 2021)

IDE Support for Cloud-Based Static Analyses. - Linghui Luo; Eric Bodden (Software Engineering, 2022)

Input splitting for cloud-based static application security testing platforms. - Maria Christakis; Thomas Cottenier; Antonio Filieri; Linghui Luo; Muhammad Numair Mansur; Lee Pike; Nicolás Rosner; Martin Schäf; Aritra Sengupta; Willem Visser (ESEC/SIGSOFT FSE, 2022)

TaintBench: Automatic real-world malware benchmarking of Android taint analyses. - Linghui Luo; Felix Pauck; Goran Piskachev; Manuel Benz; Ivan Pashchenko; Martin Mory; Eric Bodden; Ben Hermann; Fabio Massacci (Empir. Softw. Eng., 2022)

Improving Real-World Applicability of Static Taint Analysis. - Linghui Luo (Softwaretechnik-Trends, 2022)

Shifting Left for Early Detection of Machine-Learning Bugs. - Ben Liblit; Linghui Luo; Alejandro Molina 002; Rajdeep Mukherjee; Zachary Patterson; Goran Piskachev; Martin Schäf; Omer Tripp; Willem Visser (FM, 2023)

Long-term Static Analysis Rule Quality Monitoring Using True Negatives. - Linghui Luo; Rajdeep Mukherjee; Omer Tripp; Martin Schäf; Qiang Zhou; Daniel Sanchez (ICSE-SEIP, 2023)

Model Generation For Java Frameworks. - Linghui Luo; Goran Piskachev; Ranjith Krishnamurthy; Julian Dolby; Eric Bodden; Martin Schäf (ICST, 2023)

Compositional Taint Analysis for Enforcing Security Policies at Scale. - Subarno Banerjee; Siwei Cui; Michael Emmi; Antonio Filieri; Liana Hadarean; Peixuan Li; Linghui Luo; Goran Piskachev; Nicolás Rosner; Aritra Sengupta; Omer Tripp; Jingbo Wang 006 (ESEC/SIGSOFT FSE, 2023)

Understanding Developer-Analyzer Interactions in Code Reviews. - Martin Schäf; Berk Çirisci; Linghui Luo; Muhammad Numair Mansur; Omer Tripp; Daniel Sanchez; Qiang Zhou; Muhammad Bilal Zafar (ASE, 2024)

SootUp: A Redesign of the Soot Static Analysis Framework. - Kadiray Karakaya; Stefan Schott; Jonas Klauke; Eric Bodden; Markus Schmidt 012; Linghui Luo; Dongjie He (TACAS (1), 2024)