Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Bodden, Eric"'
Autor:
Venkatesh, Ashwin Prasad Shivarpatna, Sunil, Rose, Sabu, Samkutty, Mir, Amir M., Reis, Sofia, Bodden, Eric
Large Language Models (LLMs) are increasingly being explored for their potential in software engineering, particularly in static analysis tasks. In this study, we investigate the potential of current LLMs to enhance call-graph analysis and type infer
Externí odkaz:
http://arxiv.org/abs/2410.00603
Autor:
Böhme, Marcel, Bodden, Eric, Bultan, Tevfik, Cadar, Cristian, Liu, Yang, Scanniello, Giuseppe
As our lives, our businesses, and indeed our world economy become increasingly reliant on the secure operation of many interconnected software systems, the software engineering research community is faced with unprecedented research challenges, but a
Externí odkaz:
http://arxiv.org/abs/2409.17844
Android apps collecting data from users must comply with legal frameworks to ensure data protection. This requirement has become even more important since the implementation of the General Data Protection Regulation (GDPR) by the European Union in 20
Externí odkaz:
http://arxiv.org/abs/2409.06564
Many Android applications collect data from users. The European Union's General Data Protection Regulation (GDPR) requires vendors to faithfully disclose which data their apps collect. This task is complicated because many apps use third-party code f
Externí odkaz:
http://arxiv.org/abs/2409.04167
Java applications include third-party dependencies as bytecode. To keep these applications secure, researchers have proposed tools to re-identify dependencies that contain known vulnerabilities. Yet, to allow such re-identification, one must obtain,
Externí odkaz:
http://arxiv.org/abs/2407.17853
Autor:
Wickert, Anna-Katharina, Schlichtig, Michael, Vogel, Marvin, Winter, Lukas, Mezini, Mira, Bodden, Eric
Context: Static analyses are well-established to aid in understanding bugs or vulnerabilities during the development process or in large-scale studies. A low false-positive rate is essential for the adaption in practice and for precise results of emp
Externí odkaz:
http://arxiv.org/abs/2403.07808
To detect security vulnerabilities, static analysis tools need to be configured with security-relevant methods. Current approaches can automatically identify such methods using binary relevance machine learning approaches. However, they ignore depend
Externí odkaz:
http://arxiv.org/abs/2403.07501
Autor:
Venkatesh, Ashwin Prasad Shivarpatna, Sabu, Samkutty, Mir, Amir M., Reis, Sofia, Bodden, Eric
The application of Large Language Models (LLMs) in software engineering, particularly in static analysis tasks, represents a paradigm shift in the field. In this paper, we investigate the role that current LLMs can play in improving callgraph analysi
Externí odkaz:
http://arxiv.org/abs/2402.17679
Autor:
Khedkar, Mugdha, Bodden, Eric
Android applications collecting data from users must protect it according to the current legal frameworks. Such data protection has become even more important since the European Union rolled out the General Data Protection Regulation (GDPR). Since ap
Externí odkaz:
http://arxiv.org/abs/2402.07889
Autor:
Karakaya, Kadiray, Bodden, Eric
Previous work has shown that one can often greatly speed up static analysis by computing data flows not for every edge in the program's control-flow graph but instead only along definition-use chains. This yields a so-called sparse static analysis. R
Externí odkaz:
http://arxiv.org/abs/2401.14813