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Relating Verification and Validation Methods to Software Product Quality Characteristics: Results of an Expert Survey

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 338))

Abstract

[Context] Employing appropriate verification and validation (V&V) methods is essential to improve software product quality. However, while several V&V methods have been documented, little is known about how these methods relate to specific product quality characteristics. [Goal] The goal of this paper is to provide an initial configuration on the suitability of selected V&V methods to address ISO 25010 software product quality characteristics. [Method] Therefore, we compiled a list of V&V methods and conducted a survey with V&V experts, asking them to evaluate how well each V&V method allows for addressing the ISO 25010 characteristics. [Results] We received 19 answers from experts of 7 different countries. Our results express the aggregated expert opinion. It is noteworthy that the experts mostly agreed in their opinions, indicating consistency in the results. [Conclusions] This work provides the first result on the relationship between V&V methods and quality characteristics. We believe that the aggregated opinion of 19 experts can serve as a starting point for further investigations by other researchers and to provide an additional understanding to practitioners.

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Acknowledgments

The authors would like to thank all the survey respondents.

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Correspondence to Marcos Kalinowski .

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Mendoza, I., Kalinowski, M., Souza, U., Felderer, M. (2019). Relating Verification and Validation Methods to Software Product Quality Characteristics: Results of an Expert Survey. In: Winkler, D., Biffl, S., Bergsmann, J. (eds) Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud. SWQD 2019. Lecture Notes in Business Information Processing, vol 338. Springer, Cham. https://doi.org/10.1007/978-3-030-05767-1_3

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  • DOI: https://doi.org/10.1007/978-3-030-05767-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05766-4

  • Online ISBN: 978-3-030-05767-1

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