Enabling consistency between software artefacts for software adaption and evolution

D Monschein, M Mazkatli, R Heinrich… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Short development times of software became crucial to stay competitive. However, the
quality should not suffer from the faster development processes, which is why increasingly …

SARDE: a framework for continuous and self-adaptive resource demand estimation

J Grohmann, S Eismann, A Bauer, S Spinner… - ACM Transactions on …, 2021 - dl.acm.org
Resource demands are crucial parameters for modeling and predicting the performance of
software systems. Currently, resource demand estimators are usually executed once for …

Automated detection of software performance antipatterns in Java-based applications

C Trubiani, R Pinciroli, A Biaggi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The detection of performance issues in Java-based applications is not trivial since many
factors concur to poor performance, and software engineers are not sufficiently supported for …

Commit-Based Continuous Integration of Performance Models

M Armbruster - Softwaretechnik-Trends Band 43, Heft 2, 2023 - dl.gi.de
Architecture-level performance models (aPM) such as the Palladio Component Model
(PCM) can be used for, eg, performance predictions to explore design alternatives and …

[PDF][PDF] Continuous Integration of Architectural Performance Models with Parametric Dependencies–The CIPM Approach

M Mazkatli, D Monschein, M Armbruster… - Available at SSRN …, 2022 - papers.ssrn.com
Explicitly considering the software architecture supports efficient assessments of quality
attributes. In particular, Architecture-based Performance Prediction (AbPP) supports …

Model Learning for Performance Prediction of Cloud-native Microservice Applications

JS Grohmann - 2022 - opus.bibliothek.uni-wuerzburg.de
One consequence of the recent coronavirus pandemic is increased demand and use of
online services around the globe. At the same time, performance requirements for modern …