Philipp Heisig
Softwaretechnik
Philipp ist seit Mitte 2014 Mitarbeiter im SEELAB. Im Rahmen der AMALTHEA4public/APPSTACLE-Projekte beschäftigt er sich mit Softwareprodukt-linien und modellgetriebener Software-entwicklung im Kontext von eingebetteten Systemen und IoT.
Anschrift
Fachhochschule Dortmund
Fachbereich Informatik
Otto-Hahn-Straße 27
44227 Dortmund
Raum OG 2.04
Tel.: +49 231 9112 9561
E-Mail: philipp.heisig@fh-dortmund.de
Wissenschaftliche Veröffentlichungen
Auszug von dblp.org
- Bridging the Gap between SUMO & Kuksa: Using A Traffic Simulator for Testing Cloud-based Connected Vehicle Services.Philipp Heisig, Sven Erik Jeroschewski, Johannes Kristan, Robert Höttger, Ahmad Banijamali, Sabine Sachweh:Bridging the Gap between SUMO & Kuksa: Using A Traffic Simulator for Testing Cloud-based Connected Vehicle Services. SUMO 2019: 213-229
- Software Architecture Design of Cloud Platforms in Automotive Domain: An Online Survey.Ahmad Banijamali, Philipp Heisig, Johannes Kristan, Pasi Kuvaja, Markku Oivo:Software Architecture Design of Cloud Platforms in Automotive Domain: An Online Survey. SOCA 2019: 168-175
- A generic traceability metamodel for enabling unified end-to-end traceability in software product lines.Philipp Heisig, Jan-Philipp Steghöfer, Christopher Brink, Sabine Sachweh:A generic traceability metamodel for enabling unified end-to-end traceability in software product lines. SAC 2019: 2344-2353
- Combining Eclipse IoT Technologies for a RPI3-Rover along with Eclipse Kuksa.Robert Höttger, Mustafa Ozcelikors, Philipp Heisig, Lukas Krawczyk, Pedro Cuadra, Carsten Wolff:Combining Eclipse IoT Technologies for a RPI3-Rover along with Eclipse Kuksa. Software Engineering (Workshops) 2018: 101-106
- Constrained mixed-critical parallelization for distributed heterogeneous systems.Robert Hoettger, Mustafa Ozcelikors, Philipp Heisig, Lukas Krawczyk, Carsten Wolff, Burkhard Igel:Constrained mixed-critical parallelization for distributed heterogeneous systems. IDAACS 2017: 205-209
- Automated Scheduling for Tightly-Coupled Embedded Multi-core Systems Using Hybrid Genetic Algorithms.Pedro Cuadra, Lukas Krawczyk, Robert Höttger, Philipp Heisig, Carsten Wolff:Automated Scheduling for Tightly-Coupled Embedded Multi-core Systems Using Hybrid Genetic Algorithms. ICIST 2017: 362-373
- Change Impact in Product Lines: A Systematic Mapping Study.Christopher Brink, Philipp Heisig, Fabian Wackermann:Change Impact in Product Lines: A Systematic Mapping Study. ICIST 2016: 677-694
- Using Cross-Dependencies During Configuration of System Families.Christopher Brink, Philipp Heisig, Sabine Sachweh:Using Cross-Dependencies During Configuration of System Families. PROFES 2015: 439-452