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Efficient and effective exploratory testing of large-scale software systems
Saab AB, Linkoping, Sweden.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. Ericsson AB, Linkoping, Sweden.
Univ Oslo, Norway.
Chalmers Univ Technol, Sweden.
2021 (English)In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 174, article id 110890Article in journal (Refereed) Published
Abstract [en]

Context: Exploratory testing plays an important role in the continuous integration and delivery pipelines of large-scale software systems, but a holistic and structured approach is needed to realize efficient and effective exploratory testing. Objective: This paper seeks to address the need for a structured and reliable approach by providing a tangible model, supporting practitioners in the industry to optimize exploratory testing in each individual case. Method: The reported study includes interviews, group interviews and workshops with representatives from six companies, all multi-national organizations with more than 2,000 employees. Results: The ExET model (Excellence in Exploratory Testing) is presented. It is shown that the ExET model allows companies to identify and visualize strengths and improvement areas. The model is based on a set of key factors that have been shown to enable efficient and effective exploratory testing of large-scale software systems, grouped into four themes: "The testers knowledge, experience and personality", "Purpose and scope", "Ways of working" and "Recording and reporting". Conclusions: The validation of the ExET model showed that the model is novel, actionable and useful in practice, showing companies what they should prioritize in order to enable efficient and effective exploratory testing in their organization. (C) 2021 Elsevier Inc. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE INC , 2021. Vol. 174, article id 110890
Keywords [en]
Continuous delivery; Continuous integration; Exploratory testing; Large-scale systems; Software testing
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:liu:diva-174391DOI: 10.1016/j.jss.2020.110890ISI: 000618555900008OAI: oai:DiVA.org:liu-174391DiVA, id: diva2:1538743
Available from: 2021-03-21 Created: 2021-03-21 Last updated: 2021-03-21

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf