Advanced AES-key recovery from decayed RAM using multi-threading and FPGAs
R. Mittendorf, Advanced AES-Key Recovery from Decayed RAM Using Multi-Threading and FPGAs, Paderborn University, 2014.

The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores
C. Rüthing, The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores, Paderborn University, 2014.

Parallel Monte-Carlo Tree Search for HPC Systems and its Application to Computer Go
L. Schäfers, Parallel Monte-Carlo Tree Search for HPC Systems and Its Application to Computer Go, Logos Verlag Berlin GmbH, Berlin, 2014.

Optimizing the Generator Start-up Sequence After a Power System Blackout
C. Shen, P. Kaufmann, M. Braun, in: IEEE Power and Energy Society General Meeting (IEEE GM), 2014.

A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm
C. Shen, P. Kaufmann, M. Braun, in: Power Systems Computation Conference (PSCC), IEEE, 2014.

Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA
S. Surmund, Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA, Paderborn University, 2014.

Applications of Evolutionary Computation - 17th European Conference, EvoApplications
A. I. Esparcia-Alc\rquote azar, A.E. Eiben, A. Agapitos, A. Sim\'7eoes, A. G.B. Tettamanzi, A. Della Cioppa, A. M. Mora, C. Cotta, E. Tarantino, E. Haasdijk, F. Divina, F. Fern\rquote andez de Vega, G. Squillero, I. De Falco, J. Ignacio Hidalgo, K. Sim, K. Glette, M. Zhang, N. Urquhart, P. Burelli, P. Kaufmann, P. Po\'76 s\rquote k, R. Schaefer, R. Drechsler, S. Antipolis, S. Cagnoni, T. Thanh Nguyen, W. S. Bush (editors), Applications of Evolutionary Computation - 17th European Conference, EvoApplications, Springer, Granada, Spain, 2014.

Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs
J. Anwer, M. Platzner, in: IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), IEEE, 2014, pp. 177–184.

Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection
H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, M. Yazdani, G. De Micheli, in: 2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), IEEE, 2014, pp. 163–168.

Adaptive load allocation for combining Anomaly Detectors using controlled skips
M. Berger, F. Erlacher, C. Sommer, F. Dressler, in: 2014 International Conference on Computing, Networking and Communications (ICNC), 2014.

Towards an Open Source IEEE 802.11p stack: A full SDR-based transceiver in GNU Radio
B. Bloessl, M. Segata, C. Sommer, F. Dressler, in: 2013 IEEE Vehicular Networking Conference, 2014.

Timings matter
B. Bloessl, A. Puschmann, C. Sommer, F. Dressler, in: Proceedings of the 9th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization - WiNTECH ’14, 2014.

Towards a vehicular cloud - using parked vehicles as a temporary network and storage infrastructure
F. Dressler, P. Handle, C. Sommer, in: Proceedings of the 2014 ACM International Workshop on Wireless and Mobile Technologies for Smart Cities - WiMobCity ’14, 2014.

Towards a simulation framework for paraglider networks
J. Eckert, C. Sommer, D. Eckhoff, in: Proceedings of the 11th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, &; Ubiquitous Networks - PE-WASUN ’14, 2014.

SmartRevoc: An efficient and privacy preserving revocation system using parked vehicles
D. Eckhoff, F. Dressler, C. Sommer, in: 38th Annual IEEE Conference on Local Computer Networks, 2014.

Driving for Big Data? Privacy Concerns in Vehicular Networking
D. Eckhoff, C. Sommer, IEEE Security &; Privacy (2014) 77–79.

On the impact of street width on 5.9 GHz radio signal propagation in vehicular networks
F. Erlacher, F. Klingler, C. Sommer, F. Dressler, in: 2014 11th Annual Conference on Wireless On-Demand Network Systems and Services (WONS), 2014.

The Role of Parked Cars in Content Downloading for Vehicular Networks
F. Malandrino, C. Casetti, C.-F. Chiasserini, C. Sommer, F. Dressler, IEEE Transactions on Vehicular Technology (2014) 4606–4617.

Short paper: Vehicle shadowing distribution depends on vehicle type: Results of an experimental study
M. Segata, B. Bloessl, S. Joerer, C. Sommer, R. Lo Cigno, F. Dressler, in: 2013 IEEE Vehicular Networking Conference, 2014.

Towards energy efficient smart phone applications: Energy models for offloading tasks into the cloud
M. Segata, B. Bloessl, C. Sommer, F. Dressler, in: 2014 IEEE International Conference on Communications (ICC), 2014.

A networking perspective on self-organizing intersection management
C. Sommer, F. Hagenauer, F. Dressler, in: 2014 IEEE World Forum on Internet of Things (WF-IoT), 2014.

A cluster based architecture for intersection collision avoidance using heterogeneous networks
L.-C. Tung, J. Mena, M. Gerla, C. Sommer, in: 2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), 2014.

What influences dwell time during source code reading?: analysis of element type and frequency as factors
T. Busjahn, R. Bednarik, C. Schulte, in: ETRA, ACM, 2014, pp. 335–338.

Eye tracking in computing education
T. Busjahn, C. Schulte, B. Sharif, A. Begel, M. Hansen, R. Bednarik, P. Orlov, P. Ihantola, G. Shchekotova, M. Antropova, in: ICER, ACM, 2014, pp. 3–10.

Developing Coding Schemes for Program Comprehension using Eye Movements
T. Busjahn, C. Schulte, E. Kropp, in: PPIG, Psychology of Programming Interest Group, 2014, p. 15.

Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014
C. Schulte, M. E. Caspersen, J. Gal-Ezer, eds., Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014, ACM, 2014.

RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions
M.-H. Chen, W.-F. Chen, L.-W.  Ku, in: Proceedings of the AsiaCALL 2014, 2014.

Difference Computation for Grammar-Compressed XML Data
S. Böttcher, R. Hartel, S. Thiele, in: Proceedings of the Second Australasian Web Conference, Australian Computer Society, Inc., 2014, pp. 3–12.

Keyword Search on DAG-Compressed XML Data
S. Böttcher, M. Brandenburg, R. Hartel, in: Proceedings of the Second Australasian Web Conference, Australian Computer Society, Inc., 2014, pp. 13–20.

Efficient XML Keyword Search Based on DAG-Compression
S. Böttcher, R. Hartel, J. Rabe, in: Database and Expert Systems Applications - 25th International Conference, DEXA 2014, Springer, Cham, 2014, pp. 122–137.

Preference-based learning of ideal solutions in TOPSIS-like decision models
M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria Decision Analysis 22 (2014).

Extended graph-based models for enhanced similarity search in Cabase
T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 11 (2014) 878–890.

Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014) 1519–1534.

Visualization of evolving fuzzy-rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.

Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.

Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.

Correlation-based embedding of pairwise score data
M. Strickert, K. Bunte, F.M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109.

Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and Computer Science 24 (2014) 199–212.

Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.

The comprehensive diagnostic study is suggested as a design to model the diagnostic process
N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner, A. Becker, Journal of Clinical Epidemiology 2 (2014) 124–132.

Fast Collisionless Pattern Formation by Anonymous, Position-Aware Robots
T. Lukovszki, F. Meyer auf der Heide, in: Lecture Notes in Computer Science, Cham, 2014.

Continuous Aggregation in Dynamic Ad-Hoc Networks
S. Abshoff, F. Meyer auf der Heide, in: Structural Information and Communication Complexity, Cham, 2014.

Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go
T. Graf, M. Platzner, in: 2014 IEEE Conference on Computational Intelligence and Games, 2014, pp. 1–8.

PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
R. Busa-Fekete, B. Szörényi, E. Hüllermeier, in: Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.

A Survey of Preference-Based Online Learning with Bandit Algorithms
R. Busa-Fekete, E. Hüllermeier, in: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.

Mining Rank Data
S. Henzgen, E. Hüllermeier, in: Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.

The Choquet kernel for monotone data
A. Fallah Tehrani, M. Strickert, E. Hüllermeier, in: Proceedings ESANN , Bruges, Belgium, 2014.

Learning Solution Similarity in Preference-Based CBR
A. Abdel-Aziz, M. Strickert, E. Hüllermeier, in: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.

Dyad Ranking Using A Bilinear Plackett-Luce Model
D. Schäfer, E. Hüllermeier, in: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.

Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, in: Proceedings, Parts I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–8726.

Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports
J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, S. Sanner, in: 2014, pp. 1–27.

Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A. Shaker, E. Hüllermeier, Applied Mathematics and Computer Science 24 (2014) 199–212.

Ausgewählte Beiträge des GMA-Fachausschusses 5.14
F. Hoffmann, E. Hüllermeier, A. Kroll, Computational Intelligence Automatisierungstechnik 62 (2014) 685–686.

Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Data Min. Knowledge Discovery 28 (2014) 1129–1133.

Visualization of evolving fuzzy rule-based systems
S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.

Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1519–1534.

Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1609–1613.

Correlation-based embedding of pairwise score data
M. Strickert, K. Bunte, F.-M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109.

Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty
R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.

Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances
M. Mernberger, M. Moog, S. Stork, S. Zauner, U.G. Maier, E. Hüllermeier, J. Bioinformatics and Computational Biology 12 (2014).

Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Machine Learning 97 (2014) 1–3.

Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm
R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.

Dependent binary relevance models for multi-label classification
E. Montanés, R. Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, E. Hüllermeier, Pattern Recognition 47 (2014) 1494–1508.

Open challenges for data stream mining research
G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.

Extended Graph-Based Models for Enhanced Similarity Search in Cavbase
T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 878–890.

Identification of Functionally Releated Enzymes by Learning to Rank Methods
M. Stock, T. Fober, E. Hüllermeier, S. Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, W. Wageman, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 1157–1169.

Power model design for ICT systems – A generic approach
F. Beister, M. Dräxler, J. Aelken, H. Karl, Computer Communications 50 (2014) 77–85.

Hardness of approximation for quantum problems
S. Gharibian, J. Kempe, Quantum Information &; Computation 14 (2014) 517–540.

Gate-efficient discrete simulations of continuous-time quantum query algorithms
D. W. Berry, R. Cleve, S. Gharibian, Quantum Information &; Computation 14 (2014) 1–30.

Verschiebungen an der Grenze zwischen Hardware und Software
M. Platzner, C. Plessl, in: J. Künsemöller, N.O. Eke, L. Foit, T. Kaerlein (Eds.), Logiken strukturbildender Prozesse: Automatismen, Wilhelm Fink, Paderborn, 2014, pp. 123–144.

Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer
T. Kenter, G.F. Vaz, C. Plessl, in: Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC), Springer International Publishing, Cham, 2014, pp. 144–155.

Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators
A. Agne, H. Hangmann, M. Happe, M. Platzner, C. Plessl, Microprocessors and Microsystems 38 (2014) 911–919.

Reconstructing AES Key Schedules from Decayed Memory with FPGAs
H. Riebler, T. Kenter, C. Plessl, C. Sorge, in: Proceedings of Field-Programmable Custom Computing Machines (FCCM), IEEE, 2014, pp. 222–229.

Self-awareness as a Model for Designing and Operating Heterogeneous Multicores
A. Agne, M. Happe, A. Lösch, C. Plessl, M. Platzner, ACM Transactions on Reconfigurable Technology and Systems (TRETS) 7 (2014).

ReconOS - An Operating System Approach for Reconfigurable Computing
A. Agne, M. Happe, A. Keller, E. Lübbers, B. Plattner, M. Platzner, C. Plessl, IEEE Micro 34 (2014) 60–71.

Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach
G. C. Durelli, M. Pogliani, A. Miele, C. Plessl, H. Riebler, G.F. Vaz, M. D. Santambrogio, C. Bolchini, in: Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA), IEEE, 2014, pp. 142–149.

Deferring Accelerator Offloading Decisions to Application Runtime
G.F. Vaz, H. Riebler, T. Kenter, C. Plessl, in: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), IEEE, 2014, pp. 1–8.

Kernel-Centric Acceleration of High Accuracy Stereo-Matching
T. Kenter, H. Schmitz, C. Plessl, in: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), IEEE, 2014, pp. 1–8.

SAVE: Towards efficient resource management in heterogeneous system architectures
G. C. Durelli, M. Copolla, K. Djafarian, G. Koranaros, A. Miele, M. Paolino, O. Pell, C. Plessl, M. D. Santambrogio, C. Bolchini, in: Proc. Int. Conf. on Reconfigurable Computing: Architectures, Tools and Applications (ARC), Springer, 2014.

Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers
H. Giefers, C. Plessl, J. Förstner, ACM SIGARCH Computer Architecture News 41 (2014) 65–70.

Cell Mapping Techniques for Exploratory Landscape Analysis
P. Kerschke, M. Preuss, C. Hernández, O. Schütze, J.-Q. Sun, C. Grimme, G. Rudolph, B. Bischl, H. Trautmann, in: A.-A. Tantar, E. Tantar, J.-Q. Sun, W. Zhang, Q. Ding, O. Schütze, M.T.M. Emmerich, P. Legrand, M.P. Del, C.C.A. Coello (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, Springer International Publishing, Cham, 2014, pp. 115–131.

A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets
G. Rudolph, O. Schütze, C. Grimme, H. Trautmann, in: A. Tantar, E. Tantar, J. Sun, W. Zhang, Q. Ding, O. Schütze, M. Emmerich, P. Legrand, M.P. Del, C.C. Coello (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, Springer International Publishing, 2014, pp. 261–273.

An Aspiration Set EMOA Based on Averaged Hausdorff Distances
G. Rudolph, C. Grimme, O. Schütze, H. Trautmann, in: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), Springer, Gainesville, Florida, USA, 2014, pp. 153–156.

Stopping Criteria for Multimodal Optimization
S. Wessing, M. Preuss, H. Trautmann, in: T. Bartz-Beielstein, J. Branke, B. Filipic, J. Smith (Eds.), Proceedings of the Parallel Problem Solving from Nature — PPSN XIII, Springer, Ljubljana, Slovenia, 2014, pp. 141–150.

Why eve and mallory (also) love webmasters
S. Fahl, Y. Acar, H. Perl, M. Smith, in: Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security, ACM, 2014.

HeroeS - A Framework for Heterogeneous Software-Intensive System Design with SystemC
M. Becker, W. Müller, J. Stroop, U. Kiffmeier, Design, Automation and Test in Europe DATE, University Booth, Dresden (2014).

Probabilistic Analysis of Long-term Swarm Performance under Spatial Interferences
Y. Khaluf, M. Birattari, F.-J. Rammig, in: Theory and Practice of Natural Computing, Nr. 8273, 2nd International Conference on the Theory and Practice of Natural Computing, TPNC 2013, Springer, 2013.

Early Phase Memory Leak Detection in Embedded Software Designs with Virtual Memory Management Model
M. tech. M.M. Joy, W. Müller, F.-J. Rammig, in: Proceedings of AVICPS 2013, Dez. 2013 IEEE Computer Society, Linköping University Electronic Press, 2013.

AN ENERGY-EFFICIENT HEURISTIC FOR HARD REAL- TIME SYSTEM ON MULTI-CORE PROCESSORS
D. He, W. Müller, in: Proceedings of International Conference on Applied Computing (AC), 2013.

Aspect-Oriented Model-Driven Engineering for Embedded Systems Applied to Automation Systems
M.A. Wehrmeister, C.E. Pereira, F.-J. Rammig, in:  IEEE Trans. on Industrial Informatics Vol. 9 (No. 4), 2013, pp. 2373–2386.

Task Allocation Strategy for Time-Constrained Tasks in Robots Swarms
Y. Khaluf, F.-J. Rammig, in: ECAL 2013, 12th European Conference on Artificial Life, 2013.

Simulationsgestützter Entwurf für Elektrofahrzeuge
E. Farshizadeh, H. Briese, D. Steinmann, L. Stockmann, S. Beringer, D. Holler, K. Klobedanz, C. Heinzemann, K. Peter, M. Leuer, in: 8. Dortmunder Autotag, Sep. 2013, 2013.

 Efficient Power Intent Validation Using Loosely-Timed Simulation Models
F. Mischkalla, W. Müller, in:  23rd International Workshop on Power And Timing Modeling, Optimization and Simulation, Sep. 2013, 2013.

Learning Recommendation System for Automated Service Composition
A. Jungmann, B. Kleinjohann, in: Proceedings of the 10th IEEE International Conference on Services Computing (SCC),  IEEE Computer Society, 2013, pp. 97–104.

Proteus Hypervisor: Full Virtualization and Paravirtualization for Multi-Core Embedded Systems
K. Gilles, S. Grösbrink, D. Baldin, T. Kerstan, in: International Embedded Systems Symposium, 17. - 19. Jun. 2013, 2013.

On the Homogeneous Multiprocessor Virtual Machine Partitioning Problem
S. Grösbrink, in:  International Embedded Systems Symposium, 17. - 19. Jun. 2013, 2013.

Organic Real-time Programming – Vision and Approaches towards Self-Evolving and Adaptive Real-time Software
F.-J. Rammig, L. Khaluf, N. Montealegre, K. Stahl, Y. Zhao, in: Proc. 9th Workshop on Software Technologies for Future Embedded and Ubiquitous Systems (SEUS) 2013, IEEE, 2013.

HeroeS: Virtual Platform Driven Integration of Heterogeneous Software Components for Multi-Core Real-Time Architectures
M. Becker, U. Kiffmeier, W. Müller, in: 16th IEEE Computer Society Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, 2013.

A Framework for Enhancing Dependability in Self-x Systems by Artificial Immune Systems
F.-J. Rammig, K. Stahl, G.F. Vaz, in: Proc. 4th IEEE Workshop on Self-Organizing Real-Time Systems (SORT) 2013, IEEE, 2013.

Multilevel Planning for Self-Optimizing Mechatronic Systems
C. Rasche, S. Ziegert, in: Proceedings of The Fifth International Conference on Adaptive and Self-Adaptive Systems and Applications, ThinkMind, 2013, p. 6.