Log Differencing using State Machines for Anomaly Detection

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...

Improving Code Quality in Agile Software Development

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...

Increasing Operational Awareness using Monitoring-Aware IDEs

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...

A large-scale evaluation of tracing back log data to its origin with static analysis

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...

Project Mapyen: A network analysis tool to identify anomalous host behaviours

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...

Detecting Code Smells in Android Applications

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...

Search-Based Test Data Generation for SQL Queries

Software testing is an important, well-researched field.<br/>With the majority of modern-day applications using relational databases to manipulate their data, it is crucial that database interactions are tested as well.<br/>This is a complex task to perform manually, and thus researchers have been attempting to tackle this problem by means of...