Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Björn Mathis"'
Publikováno v:
ESEC/SIGSOFT FSE
One of the key properties of a program is its input specification. Having a formal input specification can be critical in fields such as vulnerability analysis, reverse engineering, software testing, clone detection, or refactoring. Unfortunately, ac
Publikováno v:
ISSTA
Modern fuzzing tools like AFL operate at a lexical level: They explore the input space of tested programs one byte after another. For inputs with complex syntactical properties, this is very inefficient, as keywords and other tokens have to be compos
Autor:
Matthias Höschele, Alexander Kampmann, Michaël Mera, Björn Mathis, Rahul Gopinath, Andreas Zeller
Publikováno v:
PLDI
To be effective, software test generation needs to well cover the space of possible inputs. Traditional fuzzing generates large numbers of random inputs, which however are unlikely to contain keywords and other specific inputs of non-trivial input la
Publikováno v:
ICST Workshops
Quality of software test suites can be effectively and accurately measured using mutation analysis. Traditional mutation involves seeding first and sometimes higher order faults into the program, and evaluating each for detection. However, traditiona
Publikováno v:
ASE
Analyzing information flow is central in assessing the security of applications. However, static and dynamic analyses of information flow are easily challenged by non-available or obscure code. We present a lightweight mutation-based analysis that sy
Autor:
Björn Mathis
Publikováno v:
ISSTA
Dynamic tainting is an important part of modern software engineering research. State-of-the-art tools for debugging, bug detection and program analysis make use of this technique. Nonetheless, the research area based on dynamic tainting still has ope