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Practitioners' best practices to Adopt, Use or Abandon Model-based Testing with Graphical models for

Emil Alégroth1, Kristian Karl1, Helena Rosshagen1

  • 1SERL Sweden Blekinge Institute of Technology, Karlskrona, Sweden.

Empirical Software Engineering
|June 7, 2022
PubMed
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This study elicits best practices for model-based testing (MBT) with graphical models. It provides evidence-based guidelines addressing technical, process, and organizational factors to improve industrial adoption of MBT.

Area of Science:

  • Software Engineering
  • Software Testing
  • Model-Based Testing

Background:

  • Model-based testing (MBT) has garnered significant academic attention but sees limited industrial adoption, particularly for graphical models.
  • Industrial partners report a lack of comprehensive guidelines that integrate technical and non-technical aspects for MBT.
  • Existing literature offers insufficient guidance on practical MBT implementation in industry.

Purpose of the Study:

  • To elicit and synthesize best practices from MBT experts for using graphical models.
  • To provide practitioners with evidence-based guidance for MBT adoption and effective use.
  • To offer researchers insights for future MBT research directions.

Main Methods:

  • Conducted deep, semi-structured interviews with 17 international MBT experts from the software industry.
Keywords:
Expert knowledgeIndustrial studyModel-based testingSoftware EngineeringTest automation

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  • Synthesized interview data using semantic equivalence analysis.
  • Verified findings with additional industrial practice MBT experts.

    • Main Results:

    • Derived 23 best-practice guidelines for adopting, using, and abandoning MBT with graphical models.
    • Identified 13 synthesized conclusions from expert interviews.
    • Discussed observations explaining the sparse industrial adoption of MBT with graphical models.

    Conclusions:

    • The study covers technical, process, and organizational factors crucial for effective MBT implementation.
    • Guidelines address mindset, knowledge, organization, mandate, and resources necessary for successful MBT.
    • The presented guidelines aim to bridge the gap between MBT research and industrial practice, enhancing practitioner success.