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Trip Report Progress Report Thesis Plan Kevin Pulo 2003-09-11.

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Presentation on theme: "Trip Report Progress Report Thesis Plan Kevin Pulo 2003-09-11."— Presentation transcript:

1 Trip Report Progress Report Thesis Plan Kevin Pulo 2003-09-11

2 Overview Brisbane Trip Report –Griffith University –University of Queensland Thesis plan Recent progress (in no particular order)

3 Brisbane Trip Report – Griffith Uni Visited the Software Quality Institute (SQI), headed by Prof. Geoff Dromey Software engineers Invented Design Behaviour Trees (DBTs) and Genetic Software Engineering (GSE)

4 DBTs A method for designing software systems by defining “behaviours” of components from their requirements These are then combined to form the overall behaviour of the system Can then be used to generate skeletal code Build the system out of the requirements, not a system which satisfies the requirements Behaviours are naturally visually represented using trees

5 Typical Component DBTs Requirement-R1: When the user opens the door the light goes on Requirement-R2: When the user closes the door the light goes off

6 Integrating Component DBTs Requirement-R1: When the user opens the door the light goes on Requirement-R2: When the user closes the door the light goes off

7 Integrating Component DBTs Satisfies both R1 and R2

8 Overall DBTs

9 Very Large DBTs

10 User Navigation Data They have issues visualising large DBTs Installed my code on their machines –General code cleanup –Interface simplification –Animated undo/redo Logging facilities to record user navigation –Will be useful in devising quality measures –Will provide a benchmark suite / corpus for running the measures

11 DBT Improvements Tip-over convention instead of inclusion layout (basically the same algorithm) Some other misc features Send updated version to Griffith researchers

12 Brisbane Trip Report - UQ Visited Advanced Computational Modelling Centre (ACMC) at UQ Bernard Pailthorpe, co-director (former director of Sydney Vislab, SDSC’s Vislab) Research mainly in Scientific Visualisation, collaborations with many wide fields (biotech, medical, psychology, physics, maths, chem, marine, etc) Visited ViSAC - Visualisation Laboratory

13 ViSAC photos

14 Thesis Outline (Working) Fancy Title: “Techniques for Structural Focus + Context Display and Navigation” 1.Introduction, Background, etc –Started literature survey 2.Models, Measures and Techniques 3.Application to Relational Data i.Inclusion Trees ii.Clustered Graphs 4.Case Study 1: Design Behaviour Trees (DBTs) 5.Case Study 2: FADE clustered graphs 6.Case Study 3: Citation networks 7.Conclusion, etc

15 Data Sources - Trees Design Behaviour Trees – Data #1 –Inclusion and tip-over layouts –Mostly done Philogenetic Trees – ??? –Neither inclusion or tip-over seem appropriate –Problem is length of edge usually indicates time –How to represent this in inclusion layout?

16 Data Sources – Clustered Graphs FADE clustered graphs – Data #2 –Uses my work from first year (extending to Recursive Voronoi Diagrams (RVDs)) –Generally graphs of various views of software –Relatively sparse –From Aaron Quigley’s thesis or use SE tools to generate my own – or maybe even arbitrary graphs Citation networks – Data #3 –From any/all of Citeseer, Web-of-Science, IEEE, ACM, etc –Clustered according to hierarchical topic (where available) –Relatively dense

17 Edge Routing Research possible algorithms Attempt implementation of simple/naïve one first Attempt harder ones only if simple one doesn’t suffice Develop edge animations –Topology changes are hard

18 Evaluation – Empirical Measures Devise 5-7 good measures of the quality of a Smooth Structural Zooming technique –Eg: number of different animation directions, number of objects moving concurrently, amount of overlap between objects, etc Assertion is that these measures are a good representation of reality Apply the measures to a corpus of test data

19 Test Data Require test data of both graphs/trees AND navigation through them Hence the Griffith usage data Other possibilities: –Generated (random) –Hand-constructed specific cases (eg. best/worst, “typical”)

20 Evaluation – User Experiments Devise tasks to test some hypothesis Considering not doing them Require a lot of time and work: –Ethics approval –Logistics –Many unknown details: Hypothesis = ? Task(s) = ? Measurements (eg. time, accuracy)

21 Sep 03 Griffith code Deliverables: Tip-over + misc code Due: Sept 26 (2 weeks) Design Experiments (?) Deliverables: Ethics approval request Due: Sept 26 (2 weeks) Oct 03 Jewelry Box SSZ Deliverables: Code for SSZ of JB layout (incl. force-scan alg) Due: 10 Oct (2 weeks) Obtain Preliminary Clustered Graph Data Deliverables: One small clustered graph from data #2 or #3 Due: 3 Oct (1 week) Obtain full data #2 (FADE) Deliverables: Dataset of > 10 graphs, varying sizes Due: 24 Oct (2 weeks) Nov 03 Research and implement routing algorithms Deliverables: Code for edge routing and edge animation Due: 28 Nov (7 weeks) Collect Griffith Usage Data Deliverables: Usage data + code to use it as input + devise measures Due: 14 Nov (3 weeks) Obtain data #3 (Citation networks) Deliverables: Dataset of > 10 graphs, varying sizes Due: 28 Nov (2 weeks)

22 Dec 03 Apply SSZ methods to data #2 Deliverables: Code operating on FADE graphs Due: 12 Dec (2 weeks) Write thesis chapters 1 - 3 Due: 2 Jan (5 weeks) Apply measures to data #1 and #2 Deliverables: Results of measures Due: 26 Dec (2 weeks) Jan 04 Develop experiments (?) Deliverables: Code, data, instructions for experiments Due: 23 Jan (3 weeks) Apply method to #3 data Deliverables: Code operating on citation networks Due: 23 Jan (3 weeks) Feb 04 Carry out experiments (?) Deliverables: Experiments done Due: 20 Feb (3 weeks) Write rest of thesis Due: 26 Mar (9 weeks) Mar 04 Analyse experiment data (?) Deliverables: Results graphs, conclusions Due: 12 Mar (3 weeks)

23 Backups Thesis/PhD work –~ 900 Mb –3 machines: Uni, home, laptop –Synchronised using rsync and rdiff-backup –Fast transfers, incremental backups Alternatives include rsync, file-unison, cvs, etc –Also weekly CDs...? Laptop –Daily/weekly rdiff-backup of majority of system (20 Gb) at uni and home


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