TransformGen: automating the maintenance of structure-oriented environments

Garlan, David; Krueger, Charles W.; Lerner, Barbara

doi:10.1145/177492.177697

Cited by 8 publications

(7 citation statements)

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“…TransformGen comprises a grammar matching approach that infers the migration specification between two grammar versions from a recorded grammar history [Staudt et al, 1987, Garlan et al, 1994. The migration is specified as a transformation on the abstract syntax tree.…”

Section: Approachesmentioning

confidence: 99%

“…The presented work may not be directly applicable. As presented in Chapter 2, some research into coupled evolution of grammars and programs exists [Staudt et al, 1987, Garlan et al, 1994, Jürgens and Pizka, 2006, Pizka and Jür-gens, 2007b,a, Lämmel, 2001, Lämmel and Zaytsev, 2009a. Concepts may be similar, but additional research is needed to see to what extent existing technology can be applied to other less related modeling domains.…”

Section: Metamodeling Formalismmentioning

confidence: 99%

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Software Language Evolution

Vermolen

2008

2008 15th Working Conference on Reverse Engineering

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Section: Approachesmentioning

confidence: 99%

Section: Metamodeling Formalismmentioning

confidence: 99%

Software Language Evolution

Vermolen

2008

2008 15th Working Conference on Reverse Engineering

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“…A tool having a strong relation to Lever is TransformGen [1,5]. It simplifies the migration of existing words, but provides only limited support for coupled evolution and does not support the adaptation of parsers or generators.…”

Section: Related Workmentioning

confidence: 99%

The Language Evolver Lever — Tool Demonstration —

Juergens

Pizka

2006

Electronic Notes in Theoretical Computer Science

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Since many domains are constantly evolving, the associated domain specific languages (DSL) inevitably have to evolve too, to retain their value. But the evolution of a DSL can be very expensive, since existing words of the language (i. e. programs) and tools have to be adapted according to the changes of the DSL itself. In such cases, these costs seriously limit the adoption of DSLs. This paper presents Lever, a tool for the evolutionary development of DSLs. Lever aims at making evolutionary changes to a DSL much cheaper by automating the adaptation of the DSL parser as well as existing words and providing additional support for the correct adaptation of existing tools (e. g. program generators). This way, Lever simplifies DSL maintenance and paves the ground for bottom-up DSL development.

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“…TransformGen [Garlan et al 1994] is a system to support evolution of abstract syntax grammars used by Gandalf programming environments [Habermann and Notkin 1986;Habermann et al 1991]. The abstract syntax grammars are analogous to type definitions; they define the format of the abstract syntax trees stored in databases maintained by Gandalf environments.…”

Section: Related Workmentioning

confidence: 99%

“…Unfortunately, there is little published data [Garlan et al 1994;Sjøberg 1993] about how persistent or transient types change during maintenance. Researchers studying maintenance of object-oriented hierarchies, which are not necessarily persistent, cite modifying types in the hierarchy and reorganizing the hierarchy as frequently desirable activities Opdyke and Johnson 1993;Lieberherr et al 1991;Opdyke and Johnson 1990;Casais 1990;Mellor and Shlaer 1992].…”

mentioning

confidence: 99%

A model for compound type changes encountered in schema evolution

Lerner

2000

ACM Trans. Database Syst.

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Schema evolution is a problem that is faced by long-lived data. When a schema changes, existing persistent data can become inaccessible unless the database system provides mechanisms to access data created with previous versions of the schema. Most existing systems that support schema evolution focus on changes local to individual types within the schema, thereby limiting the changes that the database maintainer can perform. We have developed a model of type changes incorporating changes local to individual types as well as compound changes involving multiple types. The model describes both type changes and their impact on data by defining derivation rules to initialize new data based on the existing data. The derivation rules can describe local and nonlocal changes to types to capture the intent of a large class of type change operations. We have built a system called Tess (Type Evolution Software System) that uses this model to recognize type changes by comparing schemas and then produces a transformer that can update data in a database to correspond to a newer version of the schema.

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TransformGen: automating the maintenance of structure-oriented environments

Abstract: users. In this article we present a new approach. Focusing on the special case of managing abstract syntax trees in structure-oriented environments, we show how automatic transformers can be generated in terms of an implementor's changes to the grammar of these environments.

Cited by 8 publications

References 10 publications

Software Language Evolution

Software Language Evolution

The Language Evolver Lever — Tool Demonstration —

A model for compound type changes encountered in schema evolution

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