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

Antonio Garcia-Dominguez; Nelly Bencomo

doi:10.1007/978-3-319-74730-9_14

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 output › Conference publication

Abstract

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 language	English
Title of host publication	Software Technologies
Subtitle of host publication	Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers
Publisher	Springer
Pages	161-171
Number of pages	11
Volume	10748 LNCS
ISBN (Print)	9783319747293
DOIs	https://doi.org/10.1007/978-3-319-74730-9_14
Publication status	Published - 23 Jan 2018
Event	International conference on Software Technologies: Applications and Foundations, STAF 2017 - Marburg, Germany Duration: 17 Jul 2017 → 21 Jul 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10748 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International conference on Software Technologies: Applications and Foundations, STAF 2017
Country/Territory	Germany
City	Marburg
Period	17/07/17 → 21/07/17

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: http://dx.doi.org/10.1007/978-3-319-74730-9_14

Access to Document

10.1007/978-3-319-74730-9_14

grand2017-agd-extended
© 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: http://dx.doi.org/10.1007/978-3-319-74730-9_14
Accepted author manuscript, 430 KB

Cite this

Garcia-Dominguez, A., & Bencomo, N. (2018). Non-human Modelers: Challenges and Roadmap for Reusable Self-explanation. In Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers (Vol. 10748 LNCS, pp. 161-171). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10748 LNCS). Springer. https://doi.org/10.1007/978-3-319-74730-9_14

Garcia-Dominguez, Antonio ; Bencomo, Nelly. / Non-human Modelers : Challenges and Roadmap for Reusable Self-explanation. Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers. Vol. 10748 LNCS Springer, 2018. pp. 161-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

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Garcia-Dominguez, A & Bencomo, N 2018, Non-human Modelers: Challenges and Roadmap for Reusable Self-explanation. in Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers. vol. 10748 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10748 LNCS, Springer, pp. 161-171, International conference on Software Technologies: Applications and Foundations, STAF 2017, Marburg, Germany, 17/07/17. https://doi.org/10.1007/978-3-319-74730-9_14

Non-human Modelers: Challenges and Roadmap for Reusable Self-explanation. / Garcia-Dominguez, Antonio; Bencomo, Nelly.
Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers. Vol. 10748 LNCS Springer, 2018. p. 161-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10748 LNCS).

Research output: Chapter in Book/Published conference output › Conference publication

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T1 - Non-human Modelers

T2 - International conference on Software Technologies: Applications and Foundations, STAF 2017

AU - Garcia-Dominguez, Antonio

AU - Bencomo, Nelly

N1 - © 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: http://dx.doi.org/10.1007/978-3-319-74730-9_14

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N2 - 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.

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Garcia-Dominguez A, Bencomo N. Non-human Modelers: Challenges and Roadmap for Reusable Self-explanation. In Software Technologies: Applications and Foundations - STAF 2017 Collocated Workshops, Revised Selected Papers. Vol. 10748 LNCS. Springer. 2018. p. 161-171. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-74730-9_14

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

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