Ntire 2017 challenge on single image super-resolution: Methods and results

R Timofte, E Agustsson, L Van Gool… - Proceedings of the …, 2017 - openaccess.thecvf.com
This paper reviews the first challenge on single image super-resolution (restoration of rich
details in an low resolution image) with focus on proposed solutions and results. A new …

Guided gui testing of android apps with minimal restart and approximate learning

W Choi, G Necula, K Sen - Acm Sigplan Notices, 2013 - dl.acm.org
Smartphones and tablets with rich graphical user interfaces (GUI) are becoming increasingly
popular. Hundreds of thousands of specialized applications, called apps, are available for …

Analysis of {DTLS} implementations using protocol state fuzzing

P Fiterau-Brostean, B Jonsson, R Merget… - 29th USENIX Security …, 2020 - usenix.org
Recent years have witnessed an increasing number of protocols relying on UDP. Compared
to TCP, UDP offers performance advantages such as simplicity and lower latency. This has …

Automated software test generation: some challenges, solutions, and recent advances

G Candea, P Godefroid - Computing and Software Science: State of the …, 2019 - Springer
The automation of software testing promises to delegate to machines what is otherwise the
most labor-intensive and expensive part of software development. The past decade has …

[PDF][PDF] Automata-Based Automated Detection of State Machine Bugs in Protocol Implementations.

P Fiterau-Brostean, B Jonsson, K Sagonas, F Tåquist - NDSS, 2023 - ndss-symposium.org
Implementations of stateful security protocols must carefully manage the type and order of
exchanged messages and cryptographic material, by maintaining a state machine which …

Introduction to active automata learning from a practical perspective

B Steffen, F Howar, M Merten - … International School on Formal Methods for …, 2011 - Springer
In this chapter we give an introduction to active learning of Mealy machines, an automata
model particularly suited for modeling the behavior of realistic reactive systems. Active …

Active automata learning in practice: an annotated bibliography of the years 2011 to 2016

F Howar, B Steffen - Machine Learning for Dynamic Software Analysis …, 2018 - Springer
Active automata learning is slowly becoming a standard tool in the toolbox of the software
engineer. As systems become ever more complex and development becomes more …

Model learning and model-based testing

BK Aichernig, W Mostowski, MR Mousavi… - Machine Learning for …, 2018 - Springer
We present a survey of the recent research efforts in integrating model learning with model-
based testing. We distinguished two strands of work in this domain, namely test-based …

ChatGPT in the loop: a natural language extension for domain-specific modeling languages

D Busch, G Nolte, A Bainczyk, B Steffen - … on Bridging the Gap between AI …, 2023 - Springer
This paper presents an approach to no-code development based on the interplay of formally
defined (graphical) Domain-Specific Languages and informal, intuitive Natural Language …

LearnLib: a framework for extrapolating behavioral models

H Raffelt, B Steffen, T Berg, T Margaria - International journal on software …, 2009 - Springer
In this paper, we present the LearnLib, a library of tools for automata learning, which is
explicitly designed for the systematic experimental analysis of the profile of available …