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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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de Waard, Jens (author)
Abstract interpretation is a way of approximating the semantics of a computer program, in which we derive properties of those programs without actually performing the necessary computations for running the program, through the use of an abstract interpreter. To be able to trust the result of the abstract interpretation, we would to able to prove...
master thesis 2021
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Andreadis, G. (author)
Cloud datacenters provide a backbone to our digital society. Crucial to meeting increasing demand while maintaining efficient operation is the activity of capacity planning. Inaccurate capacity planning for cloud datacenters can lead to significant performance degradation, denser targets for failure, and unsustainable energy consumption....
master thesis 2020
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Vermeulen, Martijn (author)
The amount of data being collected is growing exponentially, both in academics as well as in business. Unfortunately, the quality of that data can be poor, leading to poor decisions and increasing costs. Data cleaning, the process of detecting and correcting errors from a dataset, could be the solution to improve bad data.<br/>This research...
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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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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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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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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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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van Kaam, Niels (author)
While the amount of data and variability in data produced by numerous systems in a modern company continues to increase, users desire real-time and consistent results from complex analyses across a large variety of event sources. In industry, stream processing systems are emerging to process events with low latency in a scalable and reliable...
master thesis 2019
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Stojkovski, Stefan (author)
Rabobank is currently planning a complete transition of its services to the public<br/>cloud. Currently there are around 400 DevOps teams that need to make the<br/>transition from deployment on traditional on-premise infrastructure, to deploying their products to the public cloud. The thesis project investigates what are some of the biggest...
master thesis 2018
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Balayn, Agathe (author)
Training machine learning (ML) models for natural language processing usually requires lots of data that is often acquired through crowdsourcing. In crowdsourcing, crowd workers annotate data samples according to one or more properties, such as the sentiment of a sentence, the violence of a video segment, the aesthetics of an image, ... To...
master thesis 2018
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Dimitrova, Aneliya (author)
With the increase of online education, a good description of learning resources has become vital for educational resource sharing and reuse. Resource description has been under the spotlight in recent years. Educational platforms can benefit from good resource organisation and description, thereby providing a higher quality of services and...
master thesis 2018
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Fregnan, Enrico (author)
Code review has been proved to be an extremely important practice to ensure softwarequality. In recent years, the trend has moved towards modern code review, a lightweight and less strict paradigm. Despite its many advantages, this approach still has room for further improvement, especially in the area of cognitive support for reviewers.<br/...
master thesis 2018
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Khomeriki, Georgi (author)
Debuggers are crucial tools for developers to support the process of developing software systems as they provide direct insights into the execution of their code. As software development in the industry is moving towards technology stacks that operate on increasingly higher levels of abstraction, debugging tools have not evolved as quickly. This...
master thesis 2018
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Vodă, Mircea (author)
The continuous shift of various industries towards internet-based services have caused an exponential growth in the amount of data produced over the past few years. On top of this, the increasing need for real-time analytics and the increase in data velocity have made asynchronous, event-driven applications the norm. In this context, 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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van Hesteren, Patrick (author)
Software testing has been around for decades and many tools exist to aid developers in their testing process. However, little is known about the rate at which developers test their projects, the tools they use for these purposes and the impact of type systems on testing practices. Our work is the first of its kind to identify and classify...
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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Banken, Herman (author)
Reactive Programming is a way of programming designed to provide developers with the right abstractions for creating systems that use streams of data. Traditional debug tools lack support for the abstractions provided, causing developers to fallback to the most rudimentary debug tool available: printf-debugging. In this work, we design a...
master thesis 2017
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