During the work and the above topics, the following papers have been published in peer reviewed conference proceedings:
• Verena Honsel1, Steffen Herbold, Jens Grabowski, “Learning from Software Project Histories: Predictive Studies Based on Mining Software Repositories“, inMachine Learning and Knowledge Discovery in Databases: European Conference (ECML PKDD 2016), Proceedings, Part III, 2016
Own contributions
I came up with the idea to present and summarize all predictive studies employing Machine Learning techniques for software engineering worked out in the research group. For this, I summarized own work in the dedicated chapters.
• Verena Honsel1, Steffen Herbold, Jens Grabowski, “Hidden Markov Models for the Prediction of Developer Involvement Dynamics and Workload“, in Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2016), 2016
Own contributions
I am the lead author of this publication. I performed most of the work including the
1maiden name
5 1.4. Impact design of the approach as well as the implementation, analysis, and evaluation of the conducted case studies. The classification with Machine Learning Models was joined work with Dr. S. Herbold.
• Verena Honsel1, Daniel Honsel, Steffen Herbold, Jens Grabowski, Stephan Waack,
“Mining Software Dependency Networks for Agent-Based Simulation of Software Evolution“, in Proceedings of the 30th IEEE/ACM International Conference on Au-tomated Software Engineering Workshop (ASEW), The 4th International Workshop on Software Mining, 2015
Own contributions
I am the lead author of the paper. I contributed significantly to the design of the approach, the mining process and the evaluation of the approach. The required simu-lation framework was provided by D. Honsel.
• Verena Honsel1, Daniel Honsel, Jens Grabowski, Stephan Waack, “Developer Ori-ented and Quality Assurance Based Simulation of Software Processes“, in Proceed-ings of the Seminar Series on Advanced Techniques & Tools for Software Evolution (SATToSE 2015), 2015
Own contributions
This paper presents a summary of the papers [10], [4], and [11]. As such, it is joined work of all involved authors. Own contributions include the conceptual work as well as the summary of the proposed papers.
• Verena Honsel1, “Statistical Learning and Software Mining for Agent Based Simu-lation of Software Evolution“, in Proceedings of the 37th International Conference on Software Engineering - Volume 2, Doctoral Symposium at the 37th International Conference on Software Engineering (ICSE 2015), Florence, Italy, 2015
Own contributions
This publication is a doctoral symposium paper where the idea and first results of the doctoral project were presented. I am the single author of this paper and established all of the work on my own.
• Verena Honsel1, Daniel Honsel, Jens Grabowski, “Software Process Simulation based on Mining Software Repositories“, inProceedings of the IEEE International Confer-ence on Data Mining Workshop (ICDM 2014), short paper, 2014
Own contributions
As the lead author of this paper, I contributed to the design and evaluation of the approach. I was responsible for the mining process and analysis of mined data. The implementation of the simulation model was done by D. Honsel. Furthermore, the comparison of simulation and empirical data was joined work with D. Honsel.
Furthermore, some papers were published to which the author of this thesis contributed:
• Marlon Welter, Daniel Honsel, Verena Herbold, Andre Staedler, Jens Grabowski, Stephan Waack, “Assessing Simulated Software Graphs using Conditional Random
Introduction 6 Fields“, in Post-Proceedings of the Clausthal-Göttingen International Workshop on Simulation Science 2017, Springer, 2018
Own contributions
Own contributions for this paper include the conceptual work for the preparation of required software graphs. These graphs were embedded into the simulation tool by D.
Honsel and than assessed by a tool developed by M. Welter. M. Welter also analyzed the impact of the tool.
• Daniel Honsel, Niklas Fiekas, Verena Herbold, Marlon Welter, Tobias Ahlbrecht, Stephan Waack, Jürgen Dix, Jens Grabowski, “Simulating Software Refactorings based on Graph Transformations“, in Post-Proceedings of the Clausthal-Göttingen International Workshop on Simulation Science 2017, Springer, 2018
Own contributions
This paper presents a way to reflect refactoring in a simulation of software evolutions based on graph transformations. The design of the approach as well as the implemen-tation of the simulation is done by D. Honsel. I contributed to the initial simulation model, which is adapted by the lead author for software refactorings.
• Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Jens Grabowski, Verena Herbold, Daniel Honsel, Stephan Waack, Marlon Welter, “Agent-based simulation for soft-ware development processes“, onProceedings of the 14th European Conference on Multi-Agent Systems (EUMAS 2016), Springer, 2016
Own contributions
I was involved in the design of the proposed approach as well as in the parameter ming for the simulation model. The distributed simulation framework is provided by T. Ahlbrecht and N. Fiekas. The modeling and implementation of the non distributed version was achieved by D. Honsel.
• Daniel Honsel, Verena Honsel1, Marlon Welter, Jens Grabowski, Stephan Waack,
“Monitoring Software Quality by Means of Simulation Methods“, in Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2016), short paper, 2016
Own contributions
For this paper, I contributed to the conceptual work of the presented approach as well as to the case study design and evaluation. Needed simulation parameters were mined from real software projects by me. The behavior and strategies of agents were designed and implemented by D. Honsel. The automated assessment of software graphs was done by M. Welter.
In addition, the following book chapters have been published containing parts of the work established in this thesis:
• Philip Makedonski, Verena Herbold, Steffen Herbold, Daniel Honsel, Jens Grabowski, Stephan Waack, “Mining Big Data for Analyzing and Simulating
Col-7 1.5. Structure of the Thesis