Visual comparison of software architectures

Information Visualization

Volumn 12, Issue 2, 2013, Pages 178-199

  Beck, Fabian ^a   Diehl, Stephan ^a  

^a UNIVERSITY OF TRIER   (Germany)

Author keywords

Graph visualization; Hierarchy comparison; Software architecture

Indexed keywords

ADJACENCY MATRICES; GRAPH VISUALIZATION; HIERARCHY COMPARISON; NOVEL VISUALIZATIONS; SCALABLE ANALYSIS; SORTING STRATEGIES; VISUAL COMPARISON; VISUAL REPRESENTATIONS;

REVERSE ENGINEERING; VISUALIZATION;

SOFTWARE ARCHITECTURE;

EID: 84879321015     PISSN: 14738716     EISSN: 14738724     Source Type: Journal    
DOI: 10.1177/1473871612455983     Document Type: Article

References (43)

1. Bowman IT, Holt RC and Brewster NV. Linux as a case study: Its extracted software architecture. In: ICSE '99: Proceedings of the 21st international conference on software engineering, Los Angeles, CA, USA, 22-22 May 1999, pp. 555-563. New York, NY, USA: ACM.
2. Maqbool O and Babri HA. Hierarchical clustering for software architecture recovery. IEEE T Software Eng 2007; 33: 759-780. (Pubitemid 47595647)
3. Zimmermann T, Diehl S and Zeller A. How history justifies system architecture (or not). In: IWPSE '03: Proceedings of the 6th international workshop on principles of software evolution, Helsinki, Finland, 1-2 September 2003, pp. 73-83, Los Alamitos, CA, USA: IEEE Computer Society.
4. Ghanam Y and Carpendale S. A survey paper on software architecture visualization. Technical Report 2008-906-19, University of Calgary, Canada.
5. Beck F and Diehl S. Visual comparison of software architectures. In: SoftVis '10: Proceedings of the ACM 2010 symposium on software visualization, Salt Lake City, Utah, USA, 25-26 October 2010, pp. 183-192. New York, NY, USA: ACM
6. Beck F and Diehl S. Evaluating the impact of software evolution on software clustering. In: WCRE '10: Proceedings of the 17th working conference on reverse engineering, Beverly, MA, USA, 13-16 October 2010, pp. 99-108. Los Alamitos, CA, USA: IEEE Computer Society.
7. Wen Z and Tzerpos V. An effectiveness measure for software clustering algorithms. In: IWPC '04: Proceedings of the 12th international workshop on program comprehension, Bari, Italy, 24-26 June 2004, pp. 194-203. Los Alamitos, CA, USA: IEEE Computer Society.
8. Chikofsky EJ and Cross JH. Reverse engineering and design recovery: A taxonomy. IEEE Software 1990; 7: 13-17.
9. Stevens WP, Myers GJ and Constantine LL. Structured design. IBM Syst J 1974; 13: 115-139.
10. Ghoniem M, Fekete JD and Castagliola P. A comparison of the readability of graphs using node-link and matrixbased representations. In: INFOVIS '04: IEEE symposium on information visualization, Austin, TX, USA, 10-12 October 2004, pp. 17-24. Los Alamitos, CA, USA: IEEE Computer Society. (Pubitemid 40449123)
11. Henry N, Fekete JD and Mcguffin MJ. Nodetrix: A hybrid visualization of social networks. IEEE T Vis Comput Gr 2007; 13: 1302-1309. (Pubitemid 350076603)
12. Kruskal JB and Landwehr JM. Icicle plots: Better displays for hierarchical clustering. Am Stat 1983; 37: 162-168.
13. Shneiderman B. The eyes have it: A task by data type taxonomy for information visualizations. In: VL'96: Proceedings of the 1996 IEEE symposium on visual languages, Boulder, Colorado, USA, 3-6 September 1996. Washington, DC, USA: IEEE Computer Society.
14. Rao R and Card SK. The table lens: Merging graphical and symbolic representations in an interactive focus + context visualization for tabular information. In:CHI '94: Proceedings of the SIGCHI conference on Human factors in computing systems, Boston, MA, USA, 24-28 April 1994, pp. 318-322. New York, NY: ACM.
15. Mancoridis S, Mitchell BS, Chen Y, et al. Bunch: A clustering tool for the recovery and maintenance of software system structures. In: ICSM '99: Proceedings of the IEEE international conference on software maintenance, Oxford, England, UK, 30 August-3 September1999, pp. 50-59. Los Alamitos, CA, USA: IEEE Computer Society. (Pubitemid 30547706)
16. Mueller C, Martin B and Lumsdaine A. A comparison of vertex ordering algorithms for large graph visualization. In: APVIS '07: Proceedings of the 6th international Asia-Pacific symposium on visualization, Sydney, Australia, 5-7 February 2007, pp. 141-148. Washington, DC, USA: IEEE (Pubitemid 47133248)
17. Henry N and Fekete J-D. Matrixexplorer: A dual-representation system to explore social networks. IEEE T Vis Comput Gr 2006; 12: 677-684. (Pubitemid 44955591)
18. Mueller C, Martin B and Lumsdaine A. Interpreting large visual similarity matrices. In:APVIS '07: Proceedings of the 6th international Asia-Pacific symposium on visualization, Sydney, Australia, 5-7 February 2007, pp. 149-152. Washington, DC, USA: IEEE (Pubitemid 47133249)
19. Kevin B, Maike B and Jaroslaw B, et al. Drawing (Complete) Binary Tanglegrams. In: Ioannis Tand Maurizio P (eds) Graph Drawing, vol. 5417, Springer Berlin/Heidelberg, 2009, pp. 324-335.
20. Fernau H, KaufmannMand Poths M. Comparing trees via crossing minimization. In: Ramaswamy R and Sandeep S 8-12 November FSTTCS '05: Foundations of software technology and theoretical computer science, vol. 3821 (Lecture Notes in Computer Science). Berlin/Heidelberg, Germany: Springer, 2005, pp. 457-469. (Pubitemid 43846926)
21. Holten D and Van Wijk JJ. Visual comparison of hierarchically organized data. Comput Graph Forum 2008; 27: 759-766.
22. Sugiyama K, Tagawa S and Toda M. Methods for visual understanding of hierarchical system structures. IEEE T Syst Man Cyb 1981; 11 109-125. (Pubitemid 11506064)
23. Andritsos P and Tzerpos V. Information -theoretic software clustering. IEEE T Software Eng 2005; 31: 150-165.
24. Lincoln Y and Guba E., Naturalistic inquiry. Sage focus editions. SAGE 1985: Beverly Hills, CA, USA.
25. Diehl S. Software visualization: visualizing the structure, behaviour, and evolution of software, 2007. Berlin/Heidelberg, Germany: Springer.
26. Storey MA, Best C and Michaud J. SHriMP views: An interactive environment for exploring java programs. In: IWPC '01: Proceedings of the Ninth international conference on program comprehension, Toronto, Canada, 12-13 May 2001, pp. 111-112. Los Alamitos, CA, USA: IEEE Computer Society
27. Balzer M, Noack A, Deussen O, et al. Software landscapes: visualizing the structure of large software systems. In: VisSym '04: Proceedings of the Joint Eurographics -IEEE TCVG symposium on visualization, Konstanz, Germany, 19-21 May 2004, pp. 261-266, Geneve, Switzerland: Eurographics Association.
28. Ducasse S and Lanza M. The class blueprint: visually supporting the understanding of classes. IEEE T Software Eng 2005; 31: 75-90. (Pubitemid 40556098)
29. Van Ham F. Using multilevel call matrices in large software projects. In: INFOVIS '03: Proceedings of the IEEE symposium on information visualization, Seattle, WA, USA, 20-21 October 2003, pp. 227-232. Los Alamitos, CA, USA: IEEE Computer Society
30. Burch M, Diehl S and Weißgerber P. 2005; Visual data mining in software archives. In: SoftVis '05: Proceedings of the 2005 ACM symposium on software visualization, Saint Louis, Missouri, USA, 14-15 May 2005, pp. 37-46. New York, NY, USA: ACM Press. (Pubitemid 43111304)
31. Sangal N, Jordan E, Sinha V, et al. Using dependency models to manage complex software architecture. In: OOPSLA '05: Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications, San Diego, CA, USA, 16-20 October 2005, vol. 40, pp. 167-176. New York, NY, USA: ACM.
32. Zeckzer D. Visualizing software entities using a matrix layout. In:SOFTVIS '10: Proceedings of the 5th international symposium on software visualization, Salt Lake City, Utah, USA, 25-26 October 2010, pp. 207-208. New York, NY, USA: ACM.
33. Shtern M and Tzerpos V. A framework for the comparison of nested software decompositions. In: WCRE '04: Proceedings of the 11th working conference on reverse engineering, Delft, the Netherlands, 8-12 November 2004, pp. 284-292. Washington, DC, USA: IEEE Computer Society. (Pubitemid 40610345)
34. Mancoridis S, Mitchell BS, Rorres C, et al. 1998; Using automatic clustering to produce high-level system organizations of source code. IWPC '98: Proceedings of the 6th International Workshop on Program Comprehension. Ischia, Italy, 24-26 June 1998, pp. 45-52. Los Alamitos, CA, USA: IEEE Computer Society.
35. Kuhn A, Ducasse S and Gîrba T. 2005; Enriching reverse engineering with semantic clustering. In: WCRE '05: Proceedings of the 12th working conference on reverse engineering, Pittsburgh, PA, USA, 7-11 November 2005, pp. 133-142. Los Alamitos, CA, USA: IEEE Computer Society. (Pubitemid 46098717)
36. Munzner T, Guimbretière F, Tasiran S, et al. Treejuxtaposer: Scalable tree comparison using focus + context with guaranteed visibility. ACM T Graphic 2003; 22: 453-462.
37. Graham M and Kennedy J. A survey of multiple tree visualisation. Inf Vis 2009; 9: 235-252.
38. Wilkinson L and Friendly M. The history of the cluster heat map. Am Stat 2009; 63: 179-184.
39. Madeira SC and Oliveira AL. Biclustering algorithms for biological data analysis: A survey. IEEE-ACM T Comput Bi 2004; 1: 24-45.
40. Shtern M and Tzerpos V. Lossless comparison of nested software decompositions. In: WCRE '07: Proceedings of the 14th working conference on reverse engineering, Vancouver, BC, Canada, 28-31 October 2007, pp. 249-258. Los Alamitos, CA, USA: IEEE Computer Society.
41. Andrews K,Wohlfahrt M and Wurzinger G. Visual graph comparison. In:IV '09: Proceedings of the 13th conference on information visualisation, Barcelona, Spain, 15-17 July 2009, pp. 62-67. Los Alamitos, CA, USA: IEEE Computer Society.
42. Pohl M and Birke P. Interactive exploration of large dynamic networks. In: VISUAL '08: Proceedings of the 10th international conference on visual information systems, Salerno, Italy, 11-12 September 2008, pp. 56-67. Berlin/Heidelberg, Germany: Springer-Verlag.
43. Glorie M, Zaidman A, Van Deursen A, et al. Splitting a large software repository for easing future software evolution -an industrial experience report. J Softw Maint and Evol-R 2009; 21: 113-141.