Searched for: contributor:panichella
(1 - 20 of 30)

Pages

document
Athmer, Casper (author)
The Train Unit Shunting and Servicing (TUSS) problem is an NP-hard problem encountered by the Dutch railway operator, Nederlandse Spoorwegen (NS). It considers trains at a shunting yard when they are not transporting passengers. It consists of four subproblems, involving assigning the trains at the yard to a transporting timetable (Matching),...
master thesis 2021
document
Symeonidis, Pandelis (author)
System behavior models are highly useful for the developers of the system as they aid in system comprehension, documentation, and testing. Even though methods to obtain such models exist, e.g. profiling, tracing, source code inference and existing log-based inference methods, they can not successfully be applied to the case of large, real-time...
bachelor thesis 2021
document
Bobde, Sharwin (author)
Using Recommender Systems with Evolutionary Algorithms is an extremely niche domain. It holds the key to enabling new user interaction designs, where users can effectively configure their experience with a Recommender System. This thesis answers important questions about the scientific aspects of its application to large-scale data through a...
master thesis 2021
document
Georgescu, Calin (author)
Understanding the behaviour of a software system plays a key role in its development and maintenance processes. Unfortunately, accurate and concise models are not always available during development, due to the rapid changes in the structure and scale systems may undergo during this phase. Finite State Machines (FSM) are a natural and prevalent...
bachelor thesis 2021
document
Werthenbach, Thomas (author)
An essential step of software development is obtaining an understanding of the behaviour of a system. Accurate state models of system behaviour might help software developers build such an understanding. There exist several techniques for automatically inferring models on system behaviour using log analysis, but these do not scale well for...
bachelor thesis 2021
document
Brandirali, Tommaso (author)
Large software systems today require increasingly complex models of their execution to aid the analysis of their behavior. Such execution models are impractical to compile by hand, and current approaches to their automated generation are either not generalizable or not scalable enough. This paper addresses this problem with a new approach based...
bachelor thesis 2021
document
de Hoog, Dion (author)
In this research, we use different supervised and unsupervised machine learning techniques to detect anomalies in NetFlow data. We aim to create a system for home or small-business use where the user is in control. We use WEKA for the machine learning models and feature selection. The UGR’16 dataset is used to train and test the models. We...
master thesis 2021
document
Bisesser, Dinesh (author)
An increasing digital world, comes with many benefits but unfortunately also many drawbacks. The increase of the digital world means an increase in data and software. Developing more software unfortunately also means a higher probability of vulnerabilities, which can be exploited by adversaries. Adversaries taking advantage of users and software...
master thesis 2020
document
Cao, Clinton (author)
The Internet is a technology that was invented in the 1960s and was used only by a few users to do simple communications between computers. Fast forward to 2020, the Internet has become a technology that is being used by billions of users. It allows users to communicate with each other across the world and even allows users to access data...
master thesis 2020
document
Serentellos, V. (author)
Computer networks have nowadays assumed an increasingly important role in the expression of modern human activity through the ongoing rapid development in the field of Information and Communication Technologies (ICT). More and more individual users and businesses around the world are gaining access to networks online, while the range of services...
master thesis 2020
document
Mostert, C. (author)
High-level music classification tasks such as automatic music mood annotation impose several challenges, both from a psychological and a machine learning point of view. Ground truth labels for these tasks at hand are hard to define due to the abstract and aesthetic nature of the data, being largely dependent on human psychology and perception....
master thesis 2020
document
Man, K.W. (author)
As software is produced more and more every year, software also gets exploited more. This exploitation can lead to huge monetary losses and other damages to companies and users. The exploitation can be reduced by automatically detecting the software vulnerabilities that leads to exploitation. Unfortunately, the state-of-the-art methods for this...
master thesis 2020
document
Al Owayyed, Mohammed (author)
PhD students are usually more susceptible than other people to depression-inducing situations, which are not adequately addressed in eHealth systems. Cognitive behavioral therapy (CBT) is a well-established depression treatment, and one of its therapeutic methods is to change negative thought patterns into positive ones. The new positive...
master thesis 2020
document
Popping, Sven (author)
Debugging application crashes is an expensive and time-taking process, relying on the developer’s expertise, and requiring knowledge about the system. Over the years, the research community has developed several automated approaches to ease debugging. Among those approaches, search-based crash reproduction, which tries to generate a test case...
master thesis 2020
document
Kemna, Michael (author)
Automated generation of system tests for RESTful APIs has been extensively investigated. Previous investigations use either a white box or a blackbox approach, wherein the quality of the test cases can be assessed on the HTTP response in the prior and also on the results of byte-code analysis in the latter. Both approaches are limited however,...
bachelor thesis 2020
document
Behnen, Francis (author)
The XRP network (Ripple network) is a global transaction network that settles trans- actions in seconds. It is a technology that provides new opportunities for traditional fi- nancial institutions and startups. In the XRP network, participants depend on each other’s functioning. However, at present Ripple Labs, Inc. is the only actor monitor-...
bachelor thesis 2020
document
Kappé, Jeroen (author)
RESTful APIs tend to be difficult to manually write tests for. To help developers with this tedious task, a tool called EvoMaster has already been developed, to aim to automate the generation of test cases for RESTful APIs. The automation of test cases can be modeled as a multi-objective optimization problem. The existing tool EvoMaster has...
bachelor thesis 2020
document
Roelvink, Marijn (author)
Ripple is a relatively new payments network that aims to improve the financial system by unifying its underlying infrastructure. Given its critical function, its system must be reliable and free of bugs. Therefore it should be tested extensively. One of the test methods that has not been used on it yet is log inference, a method that has a good...
bachelor thesis 2020
document
de Vries, Chiel (author)
To validate the quality of software, test cases are used. These test cases are often manually-written, which is labor-intensive. To avoid this problem, automated software testing was invented. Search-based software testing is a useful tool for developers to automatically generate test cases. However, improvements are still needed to create test...
bachelor thesis 2020
document
Stallenberg, Dimitri (author)
Randomized variational operators can be very disruptive to the search process, especially when there exist dependencies between the variables under search. Within test-cases, these dependencies exist as well. This makes it interesting to evaluate the benefits of preserving these dependencies during test-case generation.<br/><br/>In this paper,...
bachelor thesis 2020
Searched for: contributor:panichella
(1 - 20 of 30)

Pages