A Model-Level Mutation Tool to Support the Assessment of the Test Case Quality

Maria Fernanda Granda (), Nelly Condori-Fernández (), Tanja E. J. Vos () and Oscar Pastor ()
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Maria Fernanda Granda: University of Cuenca
Nelly Condori-Fernández: Vrije Universiteit van Amsterdam
Tanja E. J. Vos: Universitat Politècnica de València
Oscar Pastor: Universitat Politècnica de València

A chapter in Complexity in Information Systems Development, 2017, pp 17-37 from Springer

Abstract: Abstract Although mutation testing is a well-known technique for assessing the quality of tests, there is not a lot of support available for model-level mutation analysis. It is also considered to be expensive due to: (i) the large number of mutants generated; (ii) the time-consuming activity of determining equivalent mutants; and (iii) the mutant execution time. It should also be remembered that real software artefacts of appropriate size including real faults are hard to find and prepare appropriately. In this paper we propose a mutation tool to generate valid First Order Mutants (FOM) for Conceptual Schemas (CS) based on UML Class Diagrams and evaluate its effectiveness and efficiency in generating valid and non-equivalent mutants. Our main findings were: (1) FOM mutation operators can be automated to avoiding non-valid mutants (49.1%). (2) Fewer equivalent mutants were generated (7.2%) and 74.3% were reduced by analysing the CS static structure in six subject CSs.

Keywords: Mutation tool; Model-level mutation; Class diagram mutants; Test cases quality (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-52593-8_2

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DOI: 10.1007/978-3-319-52593-8_2

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