A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns

Hoang Son Pham; Siegfried Nijssen; Kim Mens; Dario Di Nucci; Tim Christiaan Molderez; Coen De Roover; Johan Fabry; Vadim Zaytsev

Abstract

In an ongoing industry-university collaboration we are developing a language-parametric framework for mining code idioms in legacy systems. This modular framework has a pipeline architecture and a language- parametric meta representation of the artefacts used by each of its 5 components: source code importer, mining preprocessor, pattern miner, pattern matcher, and modernisation assistant. The pipeline enables reuse of its components across systems and languages, as well as for project partners to work on each of these components separately. An example is the exploration of novel pattern mining techniques independently of the languages on which they will be applied and the modernisation assistant in which they will be used. Our first results on mining Java and COBOL code are promising, even though challenges still lie ahead to make the framework and its constituting components truly scalable, customisable, and language independent.

Original language	English
Title of host publication	Seminar on Advanced Techniques & Tools for Software Evolution
Number of pages	6
Volume	1
Publication status	Published - 2019
Event	12th Seminar on Advanced Techniques & Tools for Software Evolution - Free University of Bozen-Bolzano, Bolzano, Italy Duration: 8 Jul 2019 → … Conference number: 12 http://sattose.org/2019

Publication series

Name	CEUR Workshop Proceedings
ISSN (Print)	1613-0073

Conference

Conference	12th Seminar on Advanced Techniques & Tools for Software Evolution
Abbreviated title	SATToSE
Country	Italy
City	Bolzano
Period	8/07/19 → …
Internet address	http://sattose.org/2019

Keywords

Pattern Mining
Frequent Tree Mining
Source Code Regularities

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title = "A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns",

abstract = "In an ongoing industry-university collaboration we are developing a language-parametric framework for mining code idioms in legacy systems. This modular framework has a pipeline architecture and a language- parametric meta representation of the artefacts used by each of its 5 components: source code importer, mining preprocessor, pattern miner, pattern matcher, and modernisation assistant. The pipeline enables reuse of its components across systems and languages, as well as for project partners to work on each of these components separately. An example is the exploration of novel pattern mining techniques independently of the languages on which they will be applied and the modernisation assistant in which they will be used. Our first results on mining Java and COBOL code are promising, even though challenges still lie ahead to make the framework and its constituting components truly scalable, customisable, and language independent.",

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A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns. / Pham, Hoang Son; Nijssen, Siegfried; Mens, Kim; Di Nucci, Dario; Molderez, Tim Christiaan; De Roover, Coen; Fabry, Johan; Zaytsev, Vadim.

Seminar on Advanced Techniques & Tools for Software Evolution. Vol. 1 2019. (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Meeting abstract (Book) › Research

TY - CHAP

T1 - A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns

AU - Pham, Hoang Son

AU - Nijssen, Siegfried

AU - Mens, Kim

AU - Di Nucci, Dario

AU - Molderez, Tim Christiaan

AU - De Roover, Coen

AU - Fabry, Johan

AU - Zaytsev, Vadim

PY - 2019

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AB - In an ongoing industry-university collaboration we are developing a language-parametric framework for mining code idioms in legacy systems. This modular framework has a pipeline architecture and a language- parametric meta representation of the artefacts used by each of its 5 components: source code importer, mining preprocessor, pattern miner, pattern matcher, and modernisation assistant. The pipeline enables reuse of its components across systems and languages, as well as for project partners to work on each of these components separately. An example is the exploration of novel pattern mining techniques independently of the languages on which they will be applied and the modernisation assistant in which they will be used. Our first results on mining Java and COBOL code are promising, even though challenges still lie ahead to make the framework and its constituting components truly scalable, customisable, and language independent.

KW - Pattern Mining

KW - Frequent Tree Mining

KW - Source Code Regularities

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M3 - Meeting abstract (Book)

VL - 1

T3 - CEUR Workshop Proceedings

BT - Seminar on Advanced Techniques & Tools for Software Evolution

ER -