Doctoral Candidate (PhD student) in Software Engineering (Understanding and Detecting Log Smells)

University of Luxembourg, Luxembourg

Updated: 4 months ago
Deadline: ;

We offer an attractive research associate position in the context of the LOGODOR project, funded by the Luxembourg National Research Fund (FNR). The project aims to develop automated and scalable techniques for detecting and removing a wide range of log smells, and to empirically evaluate the benefits of using logs processed by means of such techniques in the context of log-driven analyses (e.g., anomaly detection, model inference).

The successful candidate will join the SVV research group, headed by Prof. Domenico Bianculli. The team focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software testing and analysis. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv

The position holder will be required to perform the following tasks:

  • Carrying out research in the predefined areas
  • Implementing prototype tools
  • Empirically evaluating the proposed solutions and tools
  • Disseminating results through scientific publications
  • Providing guidance to master and bachelor students

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