Elementary Landscape Decomposition of the Test Suite Minimization Problem

  • Francisco Chicano
  • Javier Ferrer
  • Enrique Alba
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6956)

Abstract

Landscape theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of a special kind of landscape called elementary landscape. The decomposition of the objective function of a problem into its elementary components provides additional knowledge on the problem that can be exploited to create new search methods for the problem. We analyze the Test Suite Minimization problem in Regression Testing from the point of view of landscape theory. We find the elementary landscape decomposition of the problem and propose a practical application of such decomposition for the search.

Keywords

Fitness landscapes test suite minimization regression testing elementary landscapes 

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References

  1. 1.
    Chicano, F., Whitley, L.D., Alba, E.: A methodology to find the elementary landscape decomposition of combinatorial optimization problems. Evolutionary Computation (in Press) doi: 10.1162/EVCO_a_00039 Google Scholar
  2. 2.
    Do, H., Elbaum, S., Rothermel, G.: Supporting controlled experimentation with testing techniques: An infrastructure and its potential impact. Empirical Softw. Engg. 10, 405–435 (2005), http://portal.acm.org/citation.cfm?id=1089922.1089928 CrossRefGoogle Scholar
  3. 3.
    Feinsilver, P., Kocik, J.: Krawtchouk polynomials and krawtchouk matrices. In: Baeza-Yates, R., Glaz, J., Gzyl, H. (eds.) Recent Advances in Applied Probability, pp. 115–141. Springer, US (2005)CrossRefGoogle Scholar
  4. 4.
    Langdon, W.B.: Elementary bit string mutation landscapes. In: Beyer, H.-G., Langdon, W.B. (eds.) Foundations of Genetic Algorithms, January 5-9, 2011, pp. 25–41. ACM Press, Schwarzenberg (2011)Google Scholar
  5. 5.
    Lu, G., Bahsoon, R., Yao, X.: Applying elementary landscape analysis to search-based software engineering. In: Proceedings of the 2nd International Symposium on Search Based Software Engineering (2010)Google Scholar
  6. 6.
    Rana, S., Heckendorn, R.B., Whitley, D.: A tractable walsh analysis of SAT and its implications for genetic algorithms. In: Proceedings of AAAI, pp. 392–397. AAAI Press, Menlo Park (1998)Google Scholar
  7. 7.
    Reidys, C.M., Stadler, P.F.: Combinatorial landscapes. SIAM Review 44(1), 3–54 (2002)MathSciNetCrossRefMATHGoogle Scholar
  8. 8.
    Stadler, P.F.: Toward a theory of landscapes. In: López-Peña, R., Capovilla, R., García-Pelayo, R., Waelbroeck, H., Zertruche, F. (eds.) Complex Systems and Binary Networks, pp. 77–163. Springer, Heidelberg (1995)Google Scholar
  9. 9.
    Sutton, A.M., Howe, A.E., Whitley, L.D.: Directed plateau search for MAX-k-SAT. In: Proceedings of SoCS, Atlanta, GA, USA (July 2010)Google Scholar
  10. 10.
    Sutton, A.M., Whitley, L.D., Howe, A.E.: Computing the moments of k-bounded pseudo-boolean functions over Hamming spheres of arbitrary radius in polynomial time. Theoretical Computer Science (in press) doi:10.1016/j.tcs.2011.02.006Google Scholar
  11. 11.
    Sutton, A.M., Whitley, L.D., Howe, A.E.: A polynomial time computation of the exact correlation structure of k-satisfiability landscapes. In: Proceedings of GECCO, pp. 365–372. ACM, New York (2009)CrossRefGoogle Scholar
  12. 12.
    Whitley, D., Sutton, A.M., Howe, A.E.: Understanding elementary landscapes. In: Proceedings of GECCO, pp. 585–592. ACM, New York (2008)CrossRefGoogle Scholar
  13. 13.
    Yoo, S., Harman, M.: Pareto efficient multi-objective test case selection. In: Proceedings of the 2007 International Symposium on Software Testing and Analysis (ISSTA 2007), July 9-12, 2007, pp. 140–150. ACM, London (2007)CrossRefGoogle Scholar
  14. 14.
    Yoo, S., Harman, M.: Regression testing minimisation, selection and prioritisation: A survey. Journal of Software Testing, Verification and Reliability (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Francisco Chicano
    • 1
  • Javier Ferrer
    • 1
  • Enrique Alba
    • 1
  1. 1.University of MálagaSpain

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