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Researching next generation software intelligence solutions.

Dynatrace Research is shaping the technological future of Dynatrace in the domain of software intelligence.

We are applying and advancing existing research by collaborating, influencing, and contributing to various domains: software intelligence, distributed data systems, real-time analytics, generative AI, and application securityputting a focus on future technologies to solve the most advanced use cases.

Browse our many contributions to the global research community

Our researchers aspire to make discoveries, drive solutions, and share their findings, driving the progress in the field.

A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks

Nowadays, several software systems rely on stream processing architectures to deliver scalable performance and handle large volumes of data in near real time. Stream processing frameworks facilitate scalable computing by distributing the application's execution across multiple machines. Despite performance being extensively studied, the measurement...

Adriano Vogel, Sören Henning, Esteban Perez-Wohlfeil, Otmar Ertl, Rick Rabiser

| 18th ACM International Conference on Distributed and Event-Based Systems (DEBS'24) | 2024

Benchmarking Function Hook Latency in Cloud-Native Environments

Researchers and engineers are increasingly adopting cloud-native technologies for application development and performance evaluation. While this has improved the reproducibility of benchmarks in the cloud, the complexity of cloud-native environments makes it difficult to run benchmarks reliably. Cloud-native applications are often instrumented or a...

Mario Kahlhofer, Patrick Kern, Sören Henning, Stefan Rass

| Softwaretechnik-Trends | 2023

Exploring Students’ Experiences and Perceptions of Computer Science: A Survey of Austrian Secondary Schools

Companies regularly report difficulties in recruiting ICT specialists. The shortage of skilled women in this domain is especially prominent. Research shows that early exposure to STEM may spark children’s interest and influence their future choice of careers. Children’s understanding and conceptualization of their physical environment strongly infl...

Sara Hinterplattner, Marina Rottenhofer, Iris Groher, Barbara Sabitzer

| Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU | 2022

Generating repairs for inconsistent models

There are many repair alternatives for resolving model inconsistencies, each involving one or more model changes. Enumerating them all could overwhelm the developer because the number of possible repairs can grow exponentially. To address this problem, this paper focuses on the immediate cause of an inconsistency. By focusing on the cause, we can g...

Luciano Marchezan, Roland Kretschmer, Wesley K. G. Assunção, Alexander  Reder, Alexander Egyed

| 2022

ProbMinHash - A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity

The probability Jaccard similarity was recently proposed as a natural generalization of the Jaccard similarity to measure the proximity of sets whose elements are associated with relative frequencies or probabilities. In combination with a hash algorithm that maps those weighted sets to compact signatures which allow fast estimation of pairwise sim...

Otmar Ertl

| IEEE Transactions on Knowledge and Data Engineering | 2020

Meet our research team

Our team of research experts drives advancements in software development, machine learning, generative AI and data analytics, to develop cutting-edge solutions ready to be applied to real-world use cases.