Non-human Modelers: Challenges and Roadmap for Reusable Self-explanation

Antonio Garcia-Dominguez*, Nelly Bencomo

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication


Increasingly, software acts as a “non-human modeler” (NHM), managing a model according to high-level goals rather than a predefined script. To foster adoption, we argue that we should treat these NHMs as members of the development team. In our GrandMDE talk, we discussed the importance of three areas: effective communication (self-explanation and problem-oriented configuration), selection, and process integration. In this extended version of the talk, we will expand on the self-explanation area, describing its background in more depth and outlining a research roadmap based on a basic case study.

Original languageEnglish
Title of host publicationSoftware Technologies
Subtitle of host publicationApplications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers
Number of pages11
Volume10748 LNCS
ISBN (Print)9783319747293
Publication statusPublished - 23 Jan 2018
EventInternational conference on Software Technologies: Applications and Foundations, STAF 2017 - Marburg, Germany
Duration: 17 Jul 201721 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10748 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational conference on Software Technologies: Applications and Foundations, STAF 2017

Bibliographical note

© 2018 Springer Publishing. This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Artificial Intelligence. The final authenticated version is available online at:


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