Searched for: contributor:aniche
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van der Leij, David (author)
Refactoring is the process of improving the structure of code without changing its functionality. The process is beneficial for software quality but challenges remain for identifying refactoring opportunities. This work employs machine learning to predict the application of the refactoring type Extract Method in an industry setting with the use...
master thesis 2021
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Bes, Ruben (author)
Many types of database management systems exist, but finding the one that is right for a specific use case is becoming increasingly more difficult. Benchmarks allow one to compare various systems, but in a world where distributed DBMSs are increasingly used for mission critical purposes, we find most existing benchmarks neglect fault tolerance...
master thesis 2021
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Langerak, arjan (author)
Since their invention, the keyboard and mouse are the most used input devices that software developers use to interact with source code. However, these devices have their IDE interaction issues as developers need to spend a significant amount of time learning how to use them efficiently and effectively. To tackle some of these issues, we used an...
master thesis 2021
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Zwaan, Aron (author)
Static Analysis is of indispensable value for the robustness of software systems and the efficiency of developers. Moreover, many modern-day software systems are composed of interacting subsystems written in different programming languages. However, in most cases no static validation of these interactions is applied. In this thesis, we identify...
master thesis 2021
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Catshoek, Tom (author)
Active state machine learning algorithms are a class of algorithms that allow us to infer state machines representing certain systems. These algorithms interact with a system and build a hypothesis of what the state machine describing that system looks like according to the behavior they observed. Once the algorithm arrives at a hypothesis, it...
master thesis 2021
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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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Suresha Konandur, Sharanya (author)
Software maintenance is an essential and time-consuming task during the software development cycle. Readability of test code is a crucial element for performing programming tasks, such as testing, bug fixing and maintaining code. Hence poorly written tests are difficult to maintain and lose their value to developers. In order to overcome this...
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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Dekker, F.W. (author)
Privacy-preserving data aggregation protocols have been researched widely, but usually cannot guarantee correctness of the aggregate if users are malicious. These protocols can be extended with zero-knowledge proofs and commitments to work in the malicious model, but this incurs a significant computational cost on the end users, making adoption...
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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Liu, J.C.M. (author)
Since the introduction of the Web, online platforms have become a place to share opinions across various domains (e.g., social media platforms, discussion fora or webshops). Consequently, many researchers have seen a need to classify, summarise or categorise these large sets of unstructured user-generated content. A field related to this task is...
master thesis 2020
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Skoulos, R. (author)
The internet traffic is constantly rising nowadays due to the significant increase of the devices connected to the Internet. As a consequence, many cyber risks have arisen. Cybercriminals are trying to exploit the vulnerabilities of these devices to cause damage and gain profit. Monitoring the network traffic and detecting such threats has...
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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de Boer, Y.J.I. (author)
Attribution of the malware to the developers writing the malware is an important factor in cybercrime investigative work. Clustering together not only malware of the same family, but also inter-family malware relations together provides more information about the authors and aid further malware analysis work. In this report, previous work which...
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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Shriram, Sharad (author)
Modern web information systems use machine learning models to provide personalized user services and experiences. However, machine learning models require annotated data for training, and creating annotated data is done through crowdsourcing tasks. The content used in annotation crowdsourcing tasks like medical records and images might contain...
master thesis 2019
Searched for: contributor:aniche
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