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eCrash: An Empirical Study on the Apache Ant Project

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Search Based Software Engineering (SSBSE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8084))

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Abstract

The eCrash tool employs Strongly-Typed Genetic Programming to automate the generation of test data for the structural unit testing of Object-Oriented Java programs. This paper depicts the results attained by utilising eCrash to generate test data for the classes of the Apache Ant project.

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References

  1. Fraser, G., Arcuri, A.: Evosuite: automatic test suite generation for object-oriented software. In: Proceedings of the 19th ACM SIGSOFT Symposium and the 13th European Conference on Foundations of Software Engineering, ESEC/FSE 2011, pp. 416–419. ACM, New York (2011)

    Chapter  Google Scholar 

  2. Fraser, G., Arcuri, A.: Sound empirical evidence in software testing. In: 34th International Conference on Software Engineering, ICSE 2012, Zurich, Switzerland, June 2-9, pp. 178–188. IEEE (2012)

    Google Scholar 

  3. Luke, S.: ECJ 20: A Java evolutionary computation library (2013), http://cs.gmu.edu/~eclab/projects/ecj/

  4. McMinn, P.: Search-based software test data generation: A survey. Software Testing, Verification and Reliability 14(2), 105–156 (2004)

    Article  Google Scholar 

  5. Montana, D.J.: Strongly typed genetic programming. Evolutionary Computation 3(2), 199–230 (1995)

    Article  Google Scholar 

  6. Pacheco, C., Ernst, M.D.: Randoop: feedback-directed random testing for Java. In: OOPSLA 2007 Companion, Montreal, Canada. ACM (October 2007)

    Google Scholar 

  7. Ribeiro, J.C.B.: Contributions for Improving Genetic Programming-Based Approaches to the Evolutionary Testing of Object-Oriented Software. PhD thesis, Universidad de Extremadura, España (November 2010)

    Google Scholar 

  8. Tonella, P.: Evolutionary testing of classes. In: ISSTA 2004: Proceedings of the 2004 ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 119–128. ACM Press, New York (2004)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. CISUC, DEI, University of Coimbra, 3030-290, Coimbra, Portugal

    Ana Filipa Nogueira & Mário Alberto Zenha-Rela

  2. Polytechnic Institute of Leiria, Morro do Lena, Alto do Vieiro, Leiria, Portugal

    José Carlos Bregieiro Ribeiro

  3. University of Extremadura, C/ Sta Teresa de Jornet, 38, Mérida, Spain

    Francisco Fernández de Vega

Authors
  1. Ana Filipa Nogueira
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  2. José Carlos Bregieiro Ribeiro
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  3. Francisco Fernández de Vega
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  4. Mário Alberto Zenha-Rela
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Editor information

Editors and Affiliations

  1. University of Calgary, 2500 University Drive NW, T2N 1N4, Calgary, AB, Canada

    Günther Ruhe

  2. Department of Computer Science, University Colleage London, Gower Street, WC1E 6BT, London, UK

    Yuanyuan Zhang

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Nogueira, A.F., Ribeiro, J.C.B., de Vega, F.F., Zenha-Rela, M.A. (2013). eCrash: An Empirical Study on the Apache Ant Project. In: Ruhe, G., Zhang, Y. (eds) Search Based Software Engineering. SSBSE 2013. Lecture Notes in Computer Science, vol 8084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39742-4_25

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  • DOI: https://doi.org/10.1007/978-3-642-39742-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39741-7

  • Online ISBN: 978-3-642-39742-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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