output
20162025
most citedA general anomaly detection framework for fleet-based condition monitoring of machines

70 citations

Showing cs.SEShow all

5 papers · 1 filter

cs.SE20223 cited

MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat

Jörg Christian Kirchhof, Evgeny Kusmenko, Jonas Ritz +5

In this paper, we propose to adopt the MDE paradigm for the development of Machine Learning (ML)-enabled software systems with a focus on the Internet of Things (IoT) domain. We il…

cs.SE2021

Mutant Density: A Measure of Fault-Sensitive Complexity

Ali Parsai, Serge Demeyer

Software code complexity is a well-studied property to determine software component health. However, the existing code complexity metrics do not directly take into account the faul…

cs.SE202118 cited

Comparing Mutation Coverage Against Branch Coverage in an Industrial Setting

Ali Parsai, Serge Demeyer

The state-of-the-practice in software development is driven by constant change fueled by continuous integration servers. Such constant change demands for frequent and fully automat…

cs.SE20209 cited

Software Test Automation Maturity -- A Survey of the State of the Practice

Yuqing Wang, Mika V. Mäntylä, Serge Demeyer +3

The software industry has seen an increasing interest in test automation. In this paper, we present a test automation maturity survey serving as a self-assessment for practitioners…

cs.SE20207 cited

Do Null-Type Mutation Operators Help Prevent Null-Type Faults?

Ali Parsai, Serge Demeyer

The null-type is a major source of faults in Java programs, and its overuse has a severe impact on software maintenance. Unfortunately traditional mutation testing operators do not…