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The Testing Hopscotch Model - Six Complementary Profiles Replacing the Perfect All-Round Tester
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. Saab AB, Linkoping, Sweden.ORCID iD: 0000-0003-1438-0182
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3052-5604
2024 (English)In: PRODUCT-FOCUSED SOFTWARE PROCESS IMPROVEMENT, PROFES 2023, PT I, SPRINGER INTERNATIONAL PUBLISHING AG , 2024, Vol. 14483, p. 495-510Conference paper, Published paper (Refereed)
Abstract [en]

Contrasting the idea of a team with all-round testers, the Testing Hopscotch model includes six complementary profiles, tailored for different types of testing. The model is based on 60 interviews and three focus groups with 22 participants. The validation of the Testing Hopscotch model included ten validation workshops with 58 participants from six companies developing large-scale and complex software systems. The validation showed how the model provided valuable insights and promoted good discussions, helping companies identify what they need to do in order to improve testing in each individual case. The results from the validation workshops were confirmed at a cross-company workshop with 33 participants from seven companies and six universities. Based on the diverse nature of the seven companies involved in the study, it is reasonable to expect that the Testing Hopscotch model is relevant to a large segment of the software industry at large. The validation of the Testing Hopscotch model showed that the model is novel, actionable and useful in practice, helping companies identify what they need to do to improve testing in their organization.

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2024. Vol. 14483, p. 495-510
Series
Lecture Notes in Computer Science, ISSN 0302-9743
Keywords [en]
Software Testing; Tester; Knowledge; Skills; Large-Scale
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:liu:diva-201858DOI: 10.1007/978-3-031-49266-2_34ISI: 001157572800034ISBN: 9783031492655 (print)ISBN: 9783031492662 (electronic)OAI: oai:DiVA.org:liu-201858DiVA, id: diva2:1847046
Conference
24th International Conference on Product-Focused Software Process Improvement (PROFES), Dornbirn, AUSTRIA, dec 10-13, 2023
Available from: 2024-03-26 Created: 2024-03-26 Last updated: 2024-08-01

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Sandahl, Kristian

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CiteExportLink to record
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Citation style
  • apa
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