Visualization-based analysis of quality for large-scale software systems

ABSTRACT

We propose an approach for complex software analysis based on visualization. Our work is motivated by the fact that in spite of years of research and practice, software development and maintenance are still time and resource consuming, and high-risk activities. The most important reason in our opinion is the complexity of many phenomena related to software, such as its evolution and its reliability. In fact, there is very little theory explaining them. Today, we have a unique opportunity to empirically study these phenomena, thanks to large sets of software data available through open-source programs and open repositories. Automatic analysis techniques, such as statistics and machine learning, are usually limited when studying phenomena with unknown or poorly-understood influence factors. We claim that hybrid techniques that combine automatic analysis with human expertise through visualization are excellent alternatives to them. In this paper, we propose a visualization framework that supports quality analysis of large-scale software systems. We circumvent the problem of size by exploiting perception capabilities of the human visual system.

REFERENCES

• 1: Doug Bell , Douglas Bell, Software Engineering: A Programming Approach, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 2000
• 2: L.C. Briand and J. Wuest. Empirical studies of quality models in object-oriented systems. In Advances in Computers, 56. Academic Press, 2002.
• 3: William J. Brown , Raphael C. Malveau , Hays W. McCormick, III , Thomas J. Mowbray, AntiPatterns: refactoring software, architectures, and projects in crisis, John Wiley & Sons, Inc., New York, NY, 1998
• 4: S. R. Chidamber , C. F. Kemerer, A Metrics Suite for Object Oriented Design, IEEE Transactions on Software Engineering, v.20 n.6, p.476-493, June 1994 [doi>10.1109/32.295895 ]
• 5: A. Endres and D. Rombach. A Handbook of Software and Systems Engineering. Addison-Wesley, 2003.
• 6: D. Hamlet and J. Maybee. The Engineering of Software. Addison-Wesley, 2001.
• 7: Norman E. Fenton , Martin Neil, Software metrics: roadmap, Proceedings of the Conference on The Future of Software Engineering, p.357-370, June 04-11, 2000, Limerick, Ireland [doi>10.1145/336512.336588]
• 8: Hamish Graham , Hong Yul Yang , Rebecca Berrigan, A solar system metaphor for 3D visualisation of object oriented software metrics, Proceedings of the 2004 Australasian symposium on Information Visualisation, p.53-59, February 01, 2004, Christchurch, New Zealand
• 9: Christopher G. Healey , James T. Enns, Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization, IEEE Transactions on Visualization and Computer Graphics, v.5 n.2, p.145-167, April 1999 [doi>10.1109/2945.773807 ]
• 10: Brian Johnson , Ben Shneiderman, Tree-Maps: a space-filling approach to the visualization of hierarchical information structures, Proceedings of the 2nd conference on Visualization '91, October 22-25, 1991, San Diego, California
• 11: Virtual but Visible Software, Proceedings of the International Conference on Information Visualisation, p.198, July 19-21, 2000
• 12: Michele Lanza , Stéphane Ducasse, A categorization of classes based on the visualization of their internal structure: the class blueprint, Proceedings of the 16th ACM SIGPLAN conference on Object oriented programming, systems, languages, and applications, p.300-311, October 14-18, 2001, Tampa Bay, FL, USA
• 13: A.M. MacEachren. How Maps Work: Representation, Visualization and Design. Guilford Press, New York, 1995.
• 14: Andrian Marcus , Louis Feng , Jonathan I. Maletic, 3D representations for software visualization, Proceedings of the 2003 ACM symposium on Software visualization, June 11-13, 2003, San Diego, California [doi>10.1145/774833.774837]
• 15: L. Mason. Fostering understanding by structural alignement as a route to analogical learning. Instructional Science, 32(6):293--318, November 2004.
• 16: Thomas Panas , Rebecca Berrigan , John Grundy, A 3D Metaphor for Software Production Visualization, Proceedings of the Seventh International Conference on Information Visualization, p.314, July 16-18, 2003
• 17: John Stasko , Eugene Zhang, Focus+Context Display and Navigation Techniques for Enhancing Radial, Space-Filling Hierarchy Visualizations, Proceedings of the IEEE Symposium on Information Vizualization 2000, p.57, October 09-10, 2000

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.8 Metrics
          Subjects: Complexity measures

Additional Classification:
  D. Software
  D.1 PROGRAMMING TECHNIQUES
      D.1.5 Object-oriented Programming
  D.2 SOFTWARE ENGINEERING
      D.2.8 Metrics
          Subjects: Product metrics

  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.1 Multimedia Information Systems

Keywords:
metrics, quality assessment, software visualization