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Ion, Claudiu (author)
While SQL engines are now capable of detecting a large number of syntactic mistakes, most often semantic errors are not detected, which can lead to serious performance issues or even security vulnerabilities being introduced in the system. This thesis proposes a set of 25 validated heuristics together with a new rule-based static analysis tool...
master thesis 2021
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Patil, Pradyot (author)
Building predictive models using cloud metrics for a task like incident prediction in the cloud is becoming ubiquitous in cloud monitoring. For such a forecasting task, if we know beforehand which system metrics are predictable then we can easily build good models. Quantifying the predictability of cloud metrics can help us rank the available...
master thesis 2021
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Kolenbrander, Thomas (author)
Incident management is one of the top priorities for IT companies. Within incident management the so-called major incidents, incidents with a severe impact on the company, require emergency actions to reduce this impact. An earlier detection of these major incidents will lead to a faster resolution time and this can be achieved by using software...
master thesis 2021
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Psarakis, Kyriakos (author)
Schema matching is a fundamental task in the data integration pipeline and has been studied extensively in the past decades, leading to many novel schema matching methods. However, these methods do not follow a standard evaluation process, leading to uncertainty in which one performs best in matching accuracy and runtime constraints, and in...
master thesis 2020
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Xie, Yuanhao (author)
The development of artificial intelligence (AI) has made various industries eager to realise and obtain the benefits of AI. There is an increasing amount of research surrounding AI, most of which is centred on the development of new AI algorithms and techniques, thereby, however, ignoring an increasing set of practical problems related to AI...
master thesis 2020
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Gerling, Jan (author)
Refactorings tackle the challenge of architectural degradation of object-oriented software projects by improving its internal structure without changing the behavior. Refactorings improve software quality and maintainability if applied correctly. However, identifying refactoring opportunities is a challenging problem for developers and...
master thesis 2020
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Voortman, Jens (author)
Agile is a software development approach based on a set of 4 values and 12 principles. Using this set Scrum was developed as a agile framework in the early 1990s, which still remains the most popular framework today. However, Scrum originated to be used by a small number of co-located teams. When the amount of teams and the distance between the...
master thesis 2020
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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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Heemskerk, Bart (author)
Learning to program is not a easy task, as has become evident from the abundance of research papers concerning the subject. One of the learning barriers of learning a new programming language is understanding their error message, as coding errors have to be resolved before the programmer can run the code or add new functionality to the program....
master thesis 2020
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Sellik, Hendrig (author)
Mistakes in binary conditions are a source of error in many software systems. They happen when developers use < or > instead of <= or >=. These boundary mistakes are hard to find for developers and pose a manual labor-intensive work. While researches have been proposing solutions to identify errors in boundary conditions, the problem...
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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Schröder, Casper (author)
Code quality of software products often degrades while they grow. Counteracting the degradation of code quality or improving it requires immense effort. Tools that reduce this effort are a hot topic in software engineering research. Software Modularization in particular aims to aid in the process of improving the quality of code structure, by...
master thesis 2020
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Haakman, M.P.A. (author)
As organizations start to adopt machine learning in critical business scenarios, the development processes change and the reliability of the applications becomes more important. To investigate these changes and improve the reliability of those applications, we conducted two studies in this thesis. The first study aims to understand the evolution...
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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Spaargaren, Wim (author)
Systematic literature reviews in software engineering as well as other disciplines, serve as the foundation for sound scientific research. The aim for these literature reviews is to aggregate all existing knowledge on a research problem and produce informed guidelines for practitioners. This enables practitioners to apply appropriate software...
master 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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Langhout, Chris (author)
Although writing code seems trivial at times, problems arise when humans misinterpret what source code actually does. One of the potential causes are “atoms of confusion”; the smallest possible patterns of misinterpretable source code. The misunderstandings and errors have been studied in past for the C programming language. They are found to...
master thesis 2020
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Scholten, Lizzy (author)
As computer science lies at the heart of almost all technological progress, widespread computer science education, and particularly programming education, is of great importance. In order to reach a large group of students, secondary schools can play an important role. However, students have difficulty learning programming concepts. Programming...
master thesis 2020
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Ionescu, Andra (author)
Schema matching has been a researched topic for over 20 years. Therefore, many schema matching solutions have been proposed to treat various problems such as: creating unified knowledge bases or mediation schema, data translation, data discovery, data curation. Such a wide variety of schema matching algorithms requires a benchmarking system that...
master 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
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