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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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Bridié, Dereck (author)
Deprecation in Java is a language feature that allows API producers to mark program elements as obsolete. However, previous work has identified that this mechanism is co-opted to indicate another concept entirely: a misuse of deprecation. This leaves room for improvement because deprecation warning mechanisms do not fully describe the true...
master thesis 2020
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Steenbergen, Martijn (author)
Online controlled experimentation (OCE), also called A/B testing, is an often used tool in industry to determine if deploying changes into production is the right decision to make. Running experiments has shown an immense impact to the revenue of companies in industry, however this type of experimentation comes with a lot of pitfalls, of which...
master thesis 2020
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Mulders, Ernst (author)
The number of conducted A/B tests is growing throughout companies in software development. Many of these companies develop their own in-house Experimentation Platform to support these experiments. In this thesis we identify factors that influence the trustworthiness and soundness of A/B tests by conducting a literature review. We discuss...
master thesis 2019
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Tsoni, Sofia (author)
Huge amounts of log data are generated every day by software. These data contain valuable information about the behavior and the health of the system, which is rarely exploited, because of their volume and unstructured nature. Manually going through log files is a time-consuming and labor-intensive procedure for developers. Nonetheless logging...
master thesis 2019
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Meerkerk, Willem-Jan (author)
Comparing spreadsheet files is a new, unexplored research domain in computer science. Methods for regular file comparison are not straightforwardly applicable to spreadsheet files, because they are fundamentally different. Spreadsheets are binary files, the structure of spreadsheets is two-dimensional, they contain both data and calculations,...
master thesis 2019
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Kula, Elvan (author)
The appeal of delivering new features faster has led many software projects to change their development processes towards rapid release models. Even though rapid releases are increasingly being adopted in open-source and commercial software, it is not well understood what the effects are of this practice. This thesis presents an exploratory case...
master thesis 2019
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Krombeen, Lars (author)
Agile software development is a popular approach for developing software. Another important topic of research in software engineering is code quality. Unfortunately, a minimal amount of extensive research has been done on how these two influence each other. The goal of this study is therefore to explore the connection between these two using a...
master thesis 2018
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Winter, Jos (author)
It is important to detect problems fast and to have a clear overview of what is happening within a system after deployment to maximize the uptime and functional quality of the system. Therefore it is necessary to increase the awareness that developers have of errors and logs. Increasing the awareness that developers have of errors and logs has a...
master thesis 2018
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Schipper, Daan (author)
Logs are widely used as source of information to understand the activity of computer systems and to monitor their health and stability. As large-scale systems generate hundreds of millions of logs per hour reaching tens of terabytes, automated techniques exist to take advantage of the rich information present in logs. However, these techniques...
master thesis 2018
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Lan, Yikai (author)
Monitoring the release logs of modern online software is a challenging topic because of the enormous amount of release logs and the complicated release process. The goal of this thesis is to develop a pipeline that can monitor the release logs and find anomalous logs, automating this step with anomaly detection and reducing the required manual...
master thesis 2018
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Ang, Aaron (author)
The quality of test suites is commonly measured using adequacy metrics that focus on error detection, like test coverage. However, the diagnostic performance of spectrum-based fault localization techniques, that can potentially reduce the time spent on debugging, rely on diagnosability of test suites --- the property of faults to be easily and...
master thesis 2018
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Mairet, Valentine (author)
The evolution of the cyber threat landscape drives companies towards state-of-the-art security monitoring techniques. Adyen, a payment service provider company, has both legal and moral obligations to perform security monitoring within the company to remain an ethical and sustainable business. The challenge is to uncover a well-founded solution...
master thesis 2018
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Lim, Dustin (author)
Code smells are patterns in programming code which indicate potential issues with software quality. Previous research resulted in the development of code smell detectors: automated tools which traverse through large quantities of code and return smell detections to software developers.<br/>The Android platform has become very popular over the...
master thesis 2018
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Nijessen, Rik (author)
Repository mining researchers have successfully applied machine learning in a variety of<br/>scenarios.  However, the use of deep learning in repository mining tasks is still in its infancy.<br/>In this thesis, we describe the advantages and disadvantages of using deep learning in mining software repository research and demonstrate these by...
master thesis 2017
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Aué, Joop (author)
Nowadays, service-oriented architectures are more popular than ever, and more and more companies and organizations depend on services offered through Web APIs. The capabilities and complexity of Web APIs differ from service to service, and therefore the impact of API errors varies. API problem cases related to Adyen’s payment service were found...
master thesis 2017
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Leontiuc, Ioana (author)
Modern software is being built in a continuously integrated fashion, in order to overcome the challenges that come with developing large software systems from many contributors. The cornerstone of continuous integration is the testing step, since it is supposed to protect the system from changes that might disrupt correct behavior. Mutation...
master thesis 2017
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Tómasdóttir, Kristín (author)
A linter is a type of static analysis tool that warns software developers about pos- sible errors in code or violations to coding standards. By using such a tool, errors can be surfaced early in the development process when they are cheaper to fix, and code can be kept more readable and maintainable. For such a tool to be successful, it is...
master thesis 2017
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