Origin Tracking + Text Differencing = Textual Model Differencing

Riemer van Rozen; Tijs van der Storm

doi:10.1007/978-3-319-21155-8_2

Origin Tracking + Text Differencing = Textual Model Differencing

Riemer van Rozen
, Tijs van der Storm

Civic Interaction Design

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

5 Citations (Scopus)

Abstract

In textual modeling, models are created through an intermediate parsing step which maps textual representations to abstract model structures. Therefore, the identify of elements is not stable across different versions of the same model. Existing model differencing algorithms, therefore, cannot be applied directly because they need to identify model elements across versions. In this paper we present Textual Model Diff (tmdiff), a technique to support model differencing for textual languages. tmdiff requires origin tracking during text-to-model mapping to trace model elements back to the symbolic names that define them in the textual representation. Based on textual alignment of those names, tmdiff can then determine which elements are the same across revisions, and which are added or removed. As a result, tmdiff brings the benefits of model differencing to textual languages.

Original language	English
Title of host publication	Theory and Practice of Model Transformations
Subtitle of host publication	8th International Conference, ICMT 2015, Held as Part of STAF 2015, L'Aquila, Italy, July 20-21, 2015. Proceedings
Editors	Dimitris Kolovos, Manuel Wimmer
Place of Publication	Cham
Publisher	Springer
Pages	18–33
Edition	1
ISBN (Electronic)	9783319211558
ISBN (Print)	9783319211541
DOIs	https://doi.org/10.1007/978-3-319-21155-8_2
Publication status	Published - 2015
Event	International Conference on Model Transformation - L'Aquila, Italy Duration: 20 Jul 2015 → 21 Jul 2015

Publication series

Name	LNCS
Publisher	Springer
Volume	9152
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Model Transformation
Abbreviated title	ICMT
Country/Territory	Italy
City	L'Aquila
Period	20/07/15 → 21/07/15

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van Rozen, R., & van der Storm, T. (2015). Origin Tracking + Text Differencing = Textual Model Differencing. In D. Kolovos, & M. Wimmer (Eds.), Theory and Practice of Model Transformations: 8th International Conference, ICMT 2015, Held as Part of STAF 2015, L'Aquila, Italy, July 20-21, 2015. Proceedings (1 ed., pp. 18–33). (LNCS; Vol. 9152). Springer. https://doi.org/10.1007/978-3-319-21155-8_2

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abstract = "In textual modeling, models are created through an intermediate parsing step which maps textual representations to abstract model structures. Therefore, the identify of elements is not stable across different versions of the same model. Existing model differencing algorithms, therefore, cannot be applied directly because they need to identify model elements across versions. In this paper we present Textual Model Diff (tmdiff), a technique to support model differencing for textual languages. tmdiff requires origin tracking during text-to-model mapping to trace model elements back to the symbolic names that define them in the textual representation. Based on textual alignment of those names, tmdiff can then determine which elements are the same across revisions, and which are added or removed. As a result, tmdiff brings the benefits of model differencing to textual languages.",

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van Rozen, R & van der Storm, T 2015, Origin Tracking + Text Differencing = Textual Model Differencing. in D Kolovos & M Wimmer (eds), Theory and Practice of Model Transformations: 8th International Conference, ICMT 2015, Held as Part of STAF 2015, L'Aquila, Italy, July 20-21, 2015. Proceedings. 1 edn, LNCS, vol. 9152, Springer, Cham, pp. 18–33, International Conference on Model Transformation, L'Aquila, Italy, 20/07/15. https://doi.org/10.1007/978-3-319-21155-8_2

Origin Tracking + Text Differencing = Textual Model Differencing. / van Rozen, Riemer; van der Storm, Tijs.
Theory and Practice of Model Transformations: 8th International Conference, ICMT 2015, Held as Part of STAF 2015, L'Aquila, Italy, July 20-21, 2015. Proceedings. ed. / Dimitris Kolovos; Manuel Wimmer. 1. ed. Cham: Springer, 2015. p. 18–33 (LNCS; Vol. 9152).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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AB - In textual modeling, models are created through an intermediate parsing step which maps textual representations to abstract model structures. Therefore, the identify of elements is not stable across different versions of the same model. Existing model differencing algorithms, therefore, cannot be applied directly because they need to identify model elements across versions. In this paper we present Textual Model Diff (tmdiff), a technique to support model differencing for textual languages. tmdiff requires origin tracking during text-to-model mapping to trace model elements back to the symbolic names that define them in the textual representation. Based on textual alignment of those names, tmdiff can then determine which elements are the same across revisions, and which are added or removed. As a result, tmdiff brings the benefits of model differencing to textual languages.

KW - Model Element

KW - Textual Source

KW - Edit Operation

KW - Longe Common Subsequence

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van Rozen R, van der Storm T. Origin Tracking + Text Differencing = Textual Model Differencing. In Kolovos D, Wimmer M, editors, Theory and Practice of Model Transformations: 8th International Conference, ICMT 2015, Held as Part of STAF 2015, L'Aquila, Italy, July 20-21, 2015. Proceedings. 1 ed. Cham: Springer. 2015. p. 18–33. (LNCS). doi: 10.1007/978-3-319-21155-8_2

Origin Tracking + Text Differencing = Textual Model Differencing

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