Searched for: subject%3A%22Software%22
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Proost, Rick (author)
Monitoring software behaviour is being done in various ways. Log messages are being output by almost any kind of running software system. Therefore, learning how software behaves from doing analysis over log data can lead to new insights about the system. However, the number of log messages in a computer system grow fast, and analysing the log...
master thesis 2020
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Valdivia, Diego (author)
The rise of e-commerce has led to a congested last-mile delivery paradigm. Increasing customer expectations have pushed carriers into a delivery market with diminishing profitability. Furthermore, the current state of last-mile delivery has high societal costs in congestion and environmental impact. To address these challenges, scientists in the...
master thesis 2020
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Grent, Henk (author)
Web APIs can have constraints on parameters, such that not all parameters are either always required or always optional. Sometimes the presence or value of one parameter could cause another parameter to be required. Additionally, parameters could have restrictions on what kinds of values are valid. We refer to these as inter-parameter and single...
master thesis 2020
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Lazo, Claudio (author)
Algorithmic decision-making (ADM) is becoming increasingly prevalent in society, due to the rapid technological developments in Artificial Intelligence. ADM make substantially impactful decisions about people: diagnosing whether we have a disease, what news and which ads we get to see, whether we<br/>are eligible for a job, benefits, a college...
master thesis 2020
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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
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Gamvrinos, S. (author)
Code duplication is a form of technical debt frequently observed in software systems. Its existence negatively affects the maintainability of a system in numerous ways. In order to tackle the issues that come with it, various automated clone detection techniques have been proposed throughout the years. However, the vast majority of them operate...
master thesis 2020
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Pagnan, Riccardo (author)
In today’s interconnected and dynamic world, sharing knowledge within a company and streamlining its workflow can be a significant source of competitive advantage. As a matter of fact, the literature consistently shows that firms which invest in Enterprise Systems tend to perform better financially and have better retention rates. However,...
master thesis 2020
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Alderliesten, David (author)
The recommendation of tasks for newcomers within a software project throughgood first issues is being done within the domain of software development, such as onGithubplatform. These issues aim to help newcomers identify tasks that are suitablefor them and their level of expertise within the project. This thesis report investigatesthe...
master thesis 2020
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Hagen, William (author)
As the B2B environment of the Software as a Service (SaaS) industry is changing more rapidly than ever, Exact needs to constantly adapt to these changes and accommodate to the increasingly complex needs and wishes of their customers. Designing a good customer experience is vital in ensuring a sustainable competitive advantage for Exact. In order...
master thesis 2020
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Thomas, Wessel (author), Duinkerken, Elwin (author), Groenewegen, Gijs (author), Verlaan, Timo (author), Verboom, Bram (author)
The M.O.R.S.E. system is a tool for creating and managing large escape events, mainly used for local escape events. The tool is designed for only a limited range of puzzle types and styling options because most of the puzzles require physical items in order to solve a puzzle and only the answers have to be entered in M.O.R.S.E. Because of this...
bachelor thesis 2020
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Cras, L.S. (author), Dahrs, S.R. (author), Gielisse, A.S. (author), Nikkels, L.R.M. (author), Ruiter, J. (author)
Almende B.V., a technologically innovative and research-oriented company, has been working on a new algorithm that optimizes routes for parcel delivery trucks. The algorithm contains novel features, like including the possible use of autonomous vehicles, that are at this moment in time not taken into account in existing route optimization...
bachelor thesis 2020
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Buijnsters, J.L. (author), Hofman, D. (author), Klein Kranenbarg, J.G.P. (author), El Moussaoui, C. (author), Zheng, K. (author)
ScenWise is an innovative company that specializes in data science revolving around traffic management. ScenWise strives to use the newest and best technologies and practices when it comes to web applications, data science and traffic management. The reason for this is that they provide tools to analyse and visualise a variety of situations that...
bachelor thesis 2020
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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
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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
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van Mil, Frenk (author)
Personality plays a significant role in our lives; it does not only influence what we think, feel, and do, but also affects what we say about what we think, feel, and do. In software engineering (SE), it might help in improving team composition through a combination of personalities within a team, and it could help explain work preferences and...
master thesis 2020
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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
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Evers, Björn (author)
Various search-based test generation techniques have been proposed to automate the process of test generation to fulfill different criteria (e.g., line coverage, branch coverage, mutation score, etc.). Despite these techniques' undeniable accomplishments, they still suffer from a lack of guidance coming from the data gathered from the production...
master thesis 2020
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Xiang, Shang (author)
Software applications inevitably crash, and it is time-consuming to recreate the crash conditions for debugging. Recently, researchers have developed frameworks relying on genetic algorithms, e.g. Botsing, for automated crash reproduction. However, the existing approaches process exceptions of different types as if they were the same. In this...
master thesis 2020
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van der Heijden, Roald (author), van Wijngaarden, Matthijs (author), Zonneveld, Wouter (author)
CodeFeedr is a Mining Software Repository (MSR) tool designed to efficiently mine massive amounts of streaming data of projects from various sources using Flink’s streaming framework in combination with Kafka. Commissioned by researchers at TU Delft on the field of Data Science and Software Engineering, the goal of this project was to expand...
bachelor thesis 2020
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Park, MyeongJung (author)
Since building a machine learning model costs a lot while following 9 stages, the automated machine learning model creation became a crucial role in a large-scale context. At the same time, a monitoring system became an essential factor for machine learning models. This thesis presents the monitoring system for machine learning models at ING in...
master thesis 2020
Searched for: subject%3A%22Software%22
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