TraceME: A Traceability-Based Method for Conceptual Model Evolution

Model-Driven Techniques, Tools, Guidelines, and Open Challenges in Conceptual Model Evolution

  • Marcela Ruiz

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 312)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Marcela Ruiz
    Pages 17-32
  3. Marcela Ruiz
    Pages 33-54
  4. Marcela Ruiz
    Pages 55-63
  5. Marcela Ruiz
    Pages 65-141
  6. Marcela Ruiz
    Pages 143-206
  7. Marcela Ruiz
    Pages 207-270
  8. Marcela Ruiz
    Pages 271-277
  9. Marcela Ruiz
    Pages 279-282
  10. Back Matter
    Pages 283-292

About this book


This book presents TraceME, a traceability-based method for conceptual model evolution whose general purpose is to support the evolution of information systems. By providing a set of four TraceME chunks, TraceME is situational-oriented. In this way, it can be adapted to support different evolution projects by just assembling the TraceME chunks. To facilitate its industrial adoption, open source tools were developed and described which support the implementation of the TraceME chunks.

The work presented highlights various research endeavors for the development of methods and techniques to automate the evolution of software systems. It explores the requirements engineering field as a steppingstone to a successful software development processes. In 2017, the underlying PhD dissertation won the “CAiSE PhD award”, granted to outstanding PhD theses in the field of Information Systems Engineering.


conceptual modeling requirements engineering method engineering model-driven software development information systems engineering

Authors and affiliations

  1. 1.Utrecht UniversityUtrechtThe Netherlands

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-89715-8
  • Online ISBN 978-3-319-89716-5
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site
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