Background: Defect models capture faults and methods to provoke failures. To integrate such defect models into existing quality assurance processes, we developed a defect model lifecycle framework, in which the elicitation and classification of context-specific defects forms a crucial step. Although we could gather first insights from its practical application, we still have little knowledge about its benefits and limitations. Objective: We aim at qualitatively analyzing the contextspecific elicitation and classification of defects to explore the suitability of our approach for practical application. Method: We apply case study research in multiple contexts and analyze (1) what kind of defects we can elicit and the degree to which the defects matter to a context only, (2) the extent to which it leads to results useful enough for describing and operationalizing defect models, and (3) if there is a perceived additional immediate benefit from a practitioner’s perspective. Results: Our results strengthen our confidence on the suitability of our approach to elicit defects that are context-specific as well as context-independent. Conclusions: We conclude so far that our approach is suitable to provide a blueprint on how to elicit and classify defects for specific contexts to be used for the improvement of quality assurance techniques.
CITATION STYLE
Holling, D., Fernández, D. M., & Pretschner, A. (2015). A field study on the elicitation and classification of defects for defect models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9459, pp. 380–396). Springer Verlag. https://doi.org/10.1007/978-3-319-26844-6_28
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