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Featured researches published by Anne Kramer.


ACM Queue | 2014

Model-based testing: where does it stand?

Robert V. Binder; Bruno Legeard; Anne Kramer

You have probably heard about MBT (model-based testing), but like many software-engineering professionals who have not used MBT, you might be curious about others’ experience with this test-design method. From mid-June 2014 to early August 2014, we conducted a survey to learn how MBT users view its efficiency and effectiveness. The 2014 MBT User Survey, a follow-up to a similar 2012 survey, was open to all those who have evaluated or used any MBT approach. Its 32 questions included some from a survey distributed at the 2013 User Conference on Advanced Automated Testing. Some questions focused on the efficiency and effectiveness of MBT, providing the figures that managers are most interested in. Other questions were more technical and sought to validate a common MBT classification scheme. A common classification scheme could help users understand both the general diversity and specific approaches. The 2014 survey provides a realistic picture of the current state of MBT practice. This article presents some highlights of the survey findings.


Archive | 2016

Model-Based Testing Essentials: Guide to the ISTQB® Certified Model-Based Tester Foundation Level

Anne Kramer; Bruno Legeard

This book covers the essentials of Model-Based Testing (MBT) needed to pass the ISTQB® Foundation Level Model-Based Tester Certification. The text begins with an introduction to MBT, covering both the benefits and the limitations of MBT. The authors review the various approaches to model-based testing, explaining the fundamental processes in MBT, the different modeling languages used, common good modeling practices, and the typical mistakes and pitfalls. The book explains the specifics of MBT test implementation, the dependencies on modeling and test generation activities, and the steps required to automate the generated test cases. The text discusses the introduction of MBT in a company, presenting metrics to measure success and good practices to apply.


Archive | 2016

Good MBT modeling practices

Anne Kramer; Bruno Legeard


Archive | 2016

Executing model‐based tests

Anne Kramer; Bruno Legeard


Archive | 2016

Introducing MBT in your company

Anne Kramer; Bruno Legeard


Archive | 2016

Modeling languages – the agony of choice

Anne Kramer; Bruno Legeard


Archive | 2016

Deriving tests from an MBT model

Anne Kramer; Bruno Legeard


Archive | 2016

How MBT relates to test design techniques

Anne Kramer; Bruno Legeard


Archive | 2016

Introduction to model-based testing

Anne Kramer; Bruno Legeard


Archive | 2016

Appendix C: Taxonomy of MBT Approaches

Anne Kramer; Bruno Legeard

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Bruno Legeard

University of Franche-Comté

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