Model-independent differences

Patrick Könemann

doi:10.1109/CVSM.2009.5071720

Model-independent differences

Patrick Könemann

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

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Abstract

Computing differences (diffs) and merging different versions is well-known for text files, but for models it is a very young field - especially patches for models are still matter of research. Text-based and model-based diffs have different starting points because the semantics of their structure is fundamentally different. This paper reports on our ongoing work on model-independent diffs, i.e. a diff that does not directly refer to the models it was created from. Based on that, we present an idea of how the diff could be generalized, e.g. many atomic diffs are merged to a new, generalized diff. One use of these concepts could be a patch for models as it already exists for text files. The advantage of such a generalized diff compared to dasianormalpsila diffs is that it is applicable to a higher variety of models.

Original language	English
Title of host publication	ICSE Workshop on Comparison and Versioning of Software Models, 2009. CVSM '09
Publisher	IEEE
Publication date	2009
Pages	37-42
ISBN (Print)	978-1-4244-3714-6
DOIs	https://doi.org/10.1109/CVSM.2009.5071720
Publication status	Published - 2009
Event	ICSE Workshop on Comparison and Versioning of Software Models, 2009. CVSM '09 - Duration: 1 Jan 2009 → …

Conference

Conference	ICSE Workshop on Comparison and Versioning of Software Models, 2009. CVSM '09
Period	01/01/2009 → …

Bibliographical note

Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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title = "Model-independent differences",

abstract = "Computing differences (diffs) and merging different versions is well-known for text files, but for models it is a very young field - especially patches for models are still matter of research. Text-based and model-based diffs have different starting points because the semantics of their structure is fundamentally different. This paper reports on our ongoing work on model-independent diffs, i.e. a diff that does not directly refer to the models it was created from. Based on that, we present an idea of how the diff could be generalized, e.g. many atomic diffs are merged to a new, generalized diff. One use of these concepts could be a patch for models as it already exists for text files. The advantage of such a generalized diff compared to dasianormalpsila diffs is that it is applicable to a higher variety of models.",

author = "Patrick K{\"o}nemann",

note = "Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; ICSE Workshop on Comparison and Versioning of Software Models, 2009. CVSM '09 ; Conference date: 01-01-2009",

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AB - Computing differences (diffs) and merging different versions is well-known for text files, but for models it is a very young field - especially patches for models are still matter of research. Text-based and model-based diffs have different starting points because the semantics of their structure is fundamentally different. This paper reports on our ongoing work on model-independent diffs, i.e. a diff that does not directly refer to the models it was created from. Based on that, we present an idea of how the diff could be generalized, e.g. many atomic diffs are merged to a new, generalized diff. One use of these concepts could be a patch for models as it already exists for text files. The advantage of such a generalized diff compared to dasianormalpsila diffs is that it is applicable to a higher variety of models.

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ER -

Model-independent differences

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