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Author

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1		-XWiki.ima
	1	+XWiki.uru

Content

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28	28
29	29	* **1 Tight Packing of Connected Components** (Bachelor, Master)
30	30	Different connected components of a graph are often laid out separately and combined again afterwards. This combination step often produces too much whitespace. Research relevant 2D packing literature and implement a better solution.
31		-\\
	31	+{{jira id="KIELER JIRA" columns="key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution" serverId="2851bd34-0bf1-3f02-ab12-7d77ccab0fae" key="KIPRA-1262"}}KIPRA-1262{{/jira}}\\
32	32
33		-* **2 Heuristics for the Compact Layering Problem** (Bachelor, Master)
34		-Usually the layer assignment problem of the layer-based approach seeks to let as many edges as possible point into the same direction. Refraining from doing so sometimes allows more compact drawings, which so far has been evaluated using optimization problems. The task is to find and evaluate appropriate heuristics.
35		-* **2 Evaluate Impact of Reversing Edges on Humans** (Master)
36		-Reversing edges during the layer assignment problem as suggested by the previous topic may have a negative impact on the readability of diagram. User-studies should be carefully planned and conducted to answer two questions: which edges are naturally reversed by humans and does reversing too many edges worsen comprehensibility?
	33	+{{jira id="KIELER JIRA" columns="key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution" serverId="2851bd34-0bf1-3f02-ab12-7d77ccab0fae" key="KIPRA-1031"}}
	34	+KIPRA-1031
	35	+{{/jira}}
	36	+
	37	+
	38	+
37	37	* **2 Layering Algorithms** (Bachelor, Master)
38	38	Implement an alternative algorithm for the layer assignment problem used in the layer-based approach to graph layout. The focus of the algorithm could be the consideration of the number of edge crossings, a given aspect ratio, or overall compactness.
39	39	* **2 Node Placement With a Focus on Compactness** (Master)
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41	41
42	42
43	43
44		-* **2 Interactive Constraint Creation and Application in Automatic Layout **(Bachelor, Master)
45		-Evaluate options how to create constraints on the layout like "Node x should be placed at position y" and how to implement this in the current layout algorithms. Assess how such constraints can be persisted within the model.
46	46	* **3 Force Based Drawing with Port Constraints** (Master)
47	47	Develop methods for integrating port constraints in force-based drawing approaches. The resulting node placement shall be evaluated using an edge router such as [[libavoid>>url:http://www.adaptagrams.org/||shape="rect"]] on the model library of [[Ptolemy>>url:http://ptolemy.eecs.berkeley.edu/||shape="rect"]].
48	48	* **3 Combining Forces and Layers** (Master)**
49	49	**Design and implement a layout algorithm that combines the force-based and the layer-based approaches. The first three phases of the layer-based approach shall be replaced by a node distribution computed with a force-based approach.
	50	+* **2 Interactive Constraint Creation and Application in Automatic Layout **(Bachelor/Master)
	51	+Evaluate options how to create constraints on the layout like "Node x should be placed at position y" and how to implement this in the current layout algorithms. Assess how such constraints can be persisted within the model.
50	50
51	51
52	52
53		-* **1 A (Simple) Edge Router** (Bachelor, Master)
	55	+* **1 A Simple Edge Router** (Bachelor)
54	54	Often, people want their nodes to stay in the same place, but have the edges routed somehow. We currently don't have any layout algorithm that can do so. In this assignment, you would implement a simple edge router to solve this.
55	55	* **1 Improved Spline Edge Routing **(Master)
56	56	Our layer-based layout algorithm is capable to route edges as splines. Evaluate the results using state machine diagrams, identify possible improvements and develop solutions to address these.
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62	62
63	63	= Modeling Pragmatics =
64	64
65		-**Advisors:** Reinhard von Hanxleden, Ulf Rüegg, Christoph Daniel Schulze
	67	+**Advisors:** Reinhard von Hanxleden, Ulf Rüegg, Christoph Daniel Schulze, Insa Fuhrmann
66	66
67	67	* **1 Compound Graph Exploration** (Bachelor, Master)
68	68	A new graph exploration approach should be examined which is uses different zoom levels for different compound nodes. This tries to map the "Google Maps approach" of only showing the information of interest at any given zoom level to the field of graph exploration.
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73	73
74	74	= Semantics, Synchronous Languages and Model-based Design =
75	75
76		-**Advisors:** Christian Motika, Steven Smyth, Reinhard v. Hanxleden
	78	+**Advisors:** Christian Motika, Steven Smyth, Reinhard v. Hanxleden, Insa Fuhrmann
77	77
78	78	Heute haben sich eine ganze Reihe von Modellierungssprachen durchgesetzt, die grafische Modelle verwenden. Dazu zählen beispielsweise die [[Unified Modeling Language (UML) >>url:http://de.wikipedia.org/wiki/UML||shape="rect" class="external-link"]]oder die Werkzeugketten [[Simulink/Stateflow von Mathworks >>url:http://de.wikipedia.org/wiki/Simulink||shape="rect" class="external-link"]]und [[SCADE von Esterel-Technologies>>url:http://en.wikipedia.org/wiki/SCADE||shape="rect" class="external-link"]]. Letztere werden insbesondere auch im Entwurf eingebetteter und sicherheitskritischer Systeme (z.B. in Fahr- und Flugzeugen) eingesetzt.
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88	88
89	89
90	90
91		-//SCCharts Modelling & Compilation//
	93	+* (% style="line-height: 1.4285715;" %)**On the Pragmatics of Interactive Timing Information Feedback for Graphical Modeling **(%%)(Bachelor)(% style="line-height: 1.4285715;" %)**
	94	+**(%%)Use Pragmatics concepts to enhance the timing information feedback of the Interactive Timing Analysis.
92	92
	96	+
	97	+
93	93	* (% style="line-height: 1.4285715;" %)**Optimization of the SCCharts compiler/transformations **(%%)(Bachelor/Master)
94	94	Profile the actual SCCharts compiler/transformations and apply optimizations; also evaluate the possibility to use multiple cores for compilation
95	95	* (% style="line-height: 1.4285715;" %)**On the pragmatics of modeling large models in SCCharts**(%%) (Bachelor/Master)
96	96	Evaluate the possibilities to create and maintain large models in model-based languages (i.e. SCCharts) and provide suggestions for improvements
	102	+* **Visualization of Model-based Simulation via Tracing** (Bachelor/Master)
	103	+Use the already implemented Model-to-Model-Tracing in KIELER to visualize simulations.
	104	+* **Incremental Compilation of SCEst** (Bachelor/Master)
	105	+Modify the KIELER SCEst language so that KIELER is able to compile Esterel step-by-step to C via SCL.
	106	+* **Incremental Model-based Compilation of Legacy C Programs** (Bachelor/Master)
	107	+Modify the model-based compiler in KIELER so that it is able to compile C to (S)CCharts incrementally.
97	97	* **Extend the SC MoC to handle priority-based variable accesses** (Bachelor/Master)
98	98	Add priorities to variable accesses to extend the SC MoC and therefore the number of valid sequentially constructive synchronous programs.
99	99	* **Transformation of Circuits to SCCharts** (Bachelor/Master)
100	100	Implement a transformation that translates circuits to (dataflow) SCCharts.
101		-* **Efficient data dependency & scheduling analyses in SCCharts** (Master/Bachelor)
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	113	+
	114	+
	115	+* **Efficient data dependency & scheduling analyses in SCCharts** (Master/Bachelor)
102	102	Implement analyses for data dependency, scheduling (e.g. tick boundaries) for SCCharts to improve static scheduling of the compiler
103	103	* **Curing Schizophrenia in SCCharts **(Master/Bachelor)
104	104	Develop new synchronizer to handle schizophrenia properly (e.g. depth join).
	119	+* **Environment Simulations for SCCharts** (Master/Bachelor)
	120	+Develop a system to simulate environments (e.g. for Lego Mindstorms) for SCCharts in KIELER
105	105	* **SCCharts Verification** (Master/Bachelor)
106	106	Add the possibility to perfom model checking on SCCharts
107		-* **Derive M2M Transformations from Pseudocode** (Master/Bachelor)
108		-Create a Pseudocode DSL (and generator) to automatically derive M2M transformations.
109		-* **Raceyard evaluation** (Master)
110		-Evaluate the possibility for the use of SCCharts in the Raceyard context and pave the way for future experiments
111		-
112		-//SCCharts Simulation//
113		-
114		-* **Visualization of Model-based Simulation via Tracing** (Bachelor/Master)
115		-Use the already implemented Model-to-Model-Tracing in KIELER to visualize simulations.
116		-* **Environment Simulations for SCCharts** (Master/Bachelor)
117		-Develop a system to simulate environments (e.g. for Lego Mindstorms) for SCCharts in KIELER
118		-* **Core SCCharts Interpreter** (Master/Bachelor)
	123	+* **Core SCCharts Interpreter** (Master/Bachelor)
119	119	Implement an Interpreter for Core SCCharts.
120	120
121		-//Model-based C Code Compilation//
	126	+
122	122
123		-* **Incremental Model-based Compilation of Legacy C Programs** (Bachelor/Master)
124		-Modify the model-based compiler in KIELER so that it is able to compile C to (S)CCharts incrementally.
125		-* **Execution of Recursive Dataflow Code** (Master/Bachelor)
126		-* **Execution of Concurrent Dataflow Code** (Master/Bachelor)
127		-Modify the model-based dataflow compiler in KIELER so that it is able to compile recursive/concurrent C programs.
128		-For Master students: Implement both.
129		-
130		-//Synchronous Languages//
131		-
132		-* **Incremental Compilation of SCEst** (Bachelor/Master)
133		-Modify the KIELER SCEst language so that KIELER is able to compile Esterel step-by-step to C via SCL.
134		-For Master Students: Also add the possibility to compile from SCCharts to SCEst.
135		-* **eSCL - Implementing {{code language="none"}}gotopause{{/code}}** (Bachelor/Master)
136		-Create an extended dialect of the SC Language including the {{code language="none"}}gotopause{{/code}} statement and implement a transformation to SCL.
137	137	* **Quartz **(Master)
138	138	Integrate the synchronous Quartz language into KIELER for validation purposes and teaching.
	130	+* **Raceyard evaluation** (Master)
	131	+Evaluate the possibility for the use of SCCharts in the Raceyard context and pave the way for future experiments
139	139
140		-
141		-
142	142	= (% style="color: rgb(0,0,0);" %)Miscellaneous Topics(%%) =
143	143
144	144	**Advisors:** to be determined.
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145	145
146	146	* **Developing an Info Screen** (Bachelor)
147	147	Info screens are screens that present data in ways that can be easily understood. This includes static data (project description graphics, members of a team, ...) as well as dynamically aggregated data (bug statistics, automatic build overviews, ...). This topic is about developing such an info screen for our group and making it easily configurable.
148		-\\
149		-* **Developing a domain specific language (DSL) for model railway control** (Bachelor/Master)
150		-We maintain a model railway installation as a demonstrator for our work and as a student teaching tool. Especially for demonstations to non-technical visitors we would like to have a simple language to create controllers for the railway.

Confluence.Code.ConfluencePageClass[0]

Id

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1		-20153980
	1	+20152353

URL

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1		-https://rtsys.informatik.uni-kiel.de/confluence//wiki/spaces/RTSYS/pages/20153980/Topics for Student Theses
	1	+https://rtsys.informatik.uni-kiel.de/confluence//wiki/spaces/RTSYS/pages/20152353/Topics for Student Theses