activity
20182021
most citedESPBench: The Enterprise Stream Processing Benchmark

20 citations · 29 across the 3 of their papers we have counts for

collaborators

8 papers

cs.PF202120 cited

ESPBench: The Enterprise Stream Processing Benchmark

Guenter Hesse, Christoph Matthies, Michael Perscheid +2

Growing data volumes and velocities in fields such as Industry 4.0 or the Internet of Things have led to the increased popularity of data stream processing systems. Enterprises can…

cs.SE20205 cited

Mining for Process Improvements: Analyzing Software Repositories in Agile Retrospectives

Christoph Matthies, Franziska Dobrigkeit, Guenter Hesse

Software Repositories contain knowledge on how software engineering teams work, communicate, and collaborate. It can be used to develop a data-informed view of a team's development…

cs.PF2020

How Fast Can We Insert? An Empirical Performance Evaluation of Apache Kafka

Guenter Hesse, Christoph Matthies, Matthias Uflacker

Message brokers see widespread adoption in modern IT landscapes, with Apache Kafka being one of the most employed platforms. These systems feature well-defined APIs for use and con…

cs.DB2019

Application of Data Stream Processing Technologies in Industry 4.0 -- What is Missing?

Guenter Hesse, Werner Sinzig, Christoph Matthies +1

Industry 4.0 is becoming more and more important for manufacturers as the developments in the area of Internet of Things advance. Another technology gaining more attention is data…

cs.SE2019

Towards Using Data to Inform Decisions in Agile Software Development: Views of Available Data

Christoph Matthies, Guenter Hesse

Software development comprises complex tasks which are performed by humans. It involves problem solving, domain understanding and communication skills as well as knowledge of a bro…

cs.DB20194 cited

Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case

Guenter Hesse, Christoph Matthies, Werner Sinzig +1

Industry 4.0 and the Internet of Things are recent developments that have lead to the creation of new kinds of manufacturing data. Linking this new kind of sensor data to tradition…