Ntire 2017 challenge on single image super-resolution: Methods and results
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 …
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
Smartphones and tablets with rich graphical user interfaces (GUI) are becoming increasingly
popular. Hundreds of thousands of specialized applications, called apps, are available for …
popular. Hundreds of thousands of specialized applications, called apps, are available for …
Analysis of {DTLS} implementations using protocol state fuzzing
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 …
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 …
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.
Implementations of stateful security protocols must carefully manage the type and order of
exchanged messages and cryptographic material, by maintaining a state machine which …
exchanged messages and cryptographic material, by maintaining a state machine which …
Introduction to active automata learning from a practical perspective
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 …
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
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 …
engineer. As systems become ever more complex and development becomes more …
Model learning and model-based testing
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 …
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
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 …
defined (graphical) Domain-Specific Languages and informal, intuitive Natural Language …
LearnLib: a framework for extrapolating behavioral models
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 …
explicitly designed for the systematic experimental analysis of the profile of available …