Items related to TraceME: A Traceability-Based Method for Conceptual...

TraceME: A Traceability-Based Method for Conceptual Model Evolution: Model-Driven Techniques, Tools, Guidelines, and Open Challenges in Conceptual ... in Business Information Processing, 312) - Softcover

Book 117 of 231: Lecture Notes in Business Information Processing

Ruiz, Marcela

 
9783319897158: TraceME: A Traceability-Based Method for Conceptual Model Evolution: Model-Driven Techniques, Tools, Guidelines, and Open Challenges in Conceptual ... in Business Information Processing, 312)

Synopsis

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.