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A field study on the elicitation and classification of defects for defect models

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProduct-Focused Software Process Improvement - 16th International Conference, PROFES 2015, Proceedings
EditorsMarkku Oivo, Pekka Abrahamsson, Luis Corral, Barbara Russo
PublisherSpringer Verlag
Pages380-396
Number of pages17
ISBN (Print)9783319268439
DOIs
StatePublished - 2015
Event16th International Conference on Product-Focused Software Process Improvement, PROFES 2015 - Bolzano, Italy
Duration: 2 Dec 20154 Dec 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9459
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Product-Focused Software Process Improvement, PROFES 2015
Country/TerritoryItaly
CityBolzano
Period2/12/154/12/15

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