Goran Piskachev

According to our database, Goran Piskachev authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Detecting Security-Relevant Methods using Multi-label Machine Learning.

Oshando Johnson, Goran Piskachev, Ranjith Krishnamurthy, Eric Bodden

Proceedings of the 1st ACM/IEEE Workshop on Integrated Development Environments, 2024

2023

Can the configuration of static analyses make resolving security vulnerabilities more effective? - A user study.

Goran Piskachev, Matthias Becker, Eric Bodden

Empir. Softw. Eng., October, 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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Model Generation For Java Frameworks.

Linghui Luo, Goran Piskachev, Ranjith Krishnamurthy, Julian Dolby, Eric Bodden, Martin Schäf

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

Shifting Left for Early Detection of Machine-Learning Bugs.

Ben Liblit, Linghui Luo, Alejandro Molina, Rajdeep Mukherjee, Zachary Patterson, Goran Piskachev, Martin Schäf, Omer Tripp, Willem Visser

Proceedings of the Formal Methods - 25th International Symposium, 2023

2022

Adapting taint analyses for detecting security vulnerabilities.

Goran Piskachev

PhD thesis, 2022

Fluently specifying taint-flow queries with fluentTQL.

Goran Piskachev, Johannes Späth, Ingo Budde, Eric Bodden

Empir. Softw. Eng., 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

To what extent can we analyze Kotlin programs using existing Java taint analysis tools? (Extended Version)

Ranjith Krishnamurthy, Goran Piskachev, Eric Bodden

CoRR, 2022

How far are German companies in improving security through static program analysis tools?

Goran Piskachev, Stefan Dziwok, Thorsten Koch, Sven Merschjohann, Eric Bodden

Proceedings of the IEEE Secure Development Conference, 2022

To what extent can we analyze Kotlin programs using existing Java taint analysis tools?

Ranjith Krishnamurthy, Goran Piskachev, Eric Bodden

Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

2021

SecuCheck: Engineering configurable taint analysis for software developers.

Goran Piskachev, Ranjith Krishnamurthy, Eric Bodden

Proceedings of the 21st IEEE International Working Conference on Source Code Analysis and Manipulation, 2021

2020

Language-agnostic Injection Detection.

Lars Hermerschmidt, Andreas Straub, Goran Piskachev

Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020

2019

Integration of the Static Analysis Results Interchange Format in CogniCrypt.

Sriteja Kummita, Goran Piskachev

CoRR, 2019

SWAN_ASSIST: Semi-Automated Detection of Code-Specific, Security-Relevant Methods.

Goran Piskachev, Lisa Nguyen Quang Do, Oshando Johnson, Eric Bodden

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Codebase-adaptive detection of security-relevant methods.

Goran Piskachev, Lisa Nguyen Quang Do, Eric Bodden

Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

AuthCheck: Program-State Analysis for Access-Control Vulnerabilities.

Goran Piskachev, Tobias Petrasch, Johannes Späth, Eric Bodden

Proceedings of the Formal Methods. FM 2019 International Workshops, 2019