EMF Patterns of Usage on GitHub

Härtel, Johannes; Heinz, Marcel; Lämmel, Ralf

doi:10.1007/978-3-319-92997-2_14

Cited by 9 publications

(8 citation statements)

References 35 publications

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“…The exhaustive recovery of code examples is motivated in our previously conducted analysis of technology usage [HHL18]. The corpus, subject to code reduction, is a set of software projects that relate to part of the technology model.…”

Section: Code Examplesmentioning

confidence: 99%

“…• Execute Query: By executing a query, all artifacts in selected software projects are reduced to potential code examples. Feasible tools to execute queries may range from rule-based reasoners [HHL18] to handcrafted miners, e.g., grep.…”

Section: Demo Projectsmentioning

confidence: 99%

“…To query for code examples, we present two tools. For the smooth construction, we use the query engine that is developed in [HHL18]. For the misconception, we recover code examples by using the GitHub search API.…”

Section: Evaluation By Examplesmentioning

confidence: 99%

“…We use a rule-based approach (QegaL) for the automated detection of code examples in GitHub repositories [HHL18]. Inference of type and relation instances is driven by monotonously adding facts to a triple store.…”

Section: Demo Projectmentioning

confidence: 99%

“…To abbreviate explanations, Figure 5 summarizes the ideas behind the queries to recognize code examples for the relation Generate Java Code. Previous research can be consulted for more details on incremental querying [HHL18]. Chapter 4 of the EMF book can be consolidated for the required experience to develop the query.…”

Section: Idmentioning

confidence: 99%

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Reproducible Construction of Interconnected Technology Models for EMF Code Generation.

Heinz¹,

Härtel²,

Lämmel³

2020

JOT

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Software technologies such as the Eclipse Modeling Framework (EMF ) involve complex usage scenarios that need to be understood or communicated by newcomers, developers, teachers, contributors, and others. Such different stakeholders consult scattered resources that provide textual explanations and code examples that cover different facets of a technology. More specifically, textual explanations can be located in i) developer literature that describes idiomatic usage of a technology, and in ii) scientific literature that explains technology from a formal and abstract perspective. Code examples can be located in iii) demo projects that exemplify intended usage, and in iv) wild projects that provide complex code examples in actual applications. In this paper, we propose annotated megamodels of technology usage as macroscopic summaries, i.e., technology models; these models interconnect the scattered textual explanations and code examples. We present a methodology for the incremental construction of technology models in a reproducible manner. It relies on the systematic reduction of a corpus to 'useful' evidence for each increment. The manual effort of searching for representative links is reduced by dedicated queries. We exemplify the application of the methodology for technology models that summarize EMF code generation.

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Section: Code Examplesmentioning

confidence: 99%

Section: Demo Projectsmentioning

confidence: 99%

Section: Evaluation By Examplesmentioning

confidence: 99%

Section: Demo Projectmentioning

confidence: 99%

Section: Idmentioning

confidence: 99%

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