A genetic approach to architectural pattern discovery

J.G.T. Peters; J.M.E.M. van der Werf

doi:10.1145/2993412.3003393

A genetic approach to architectural pattern discovery

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

Abstract

Architectural patterns represent reusable design of software architecture at a high level of abstraction. They can be used to structure new applications and to recover the modular structure of existing systems. Techniques like Architecture Compliance Checking (ACC) focus on testing whether realised artefacts adhere to the architecture. Typically, these techniques require a complete architecture as input.

In this paper, we present a genetic approach to express and discover architectural patterns based on the allowed and disallowed dependencies between the pattern elements. Through static ACC, we validate the genuineness of the found instances. Initial validation shows the potential of the approach.

Original language	English
Title of host publication	ECSAW '16
Subtitle of host publication	Proccedings of the 10th European Conference on Software Architecture Workshops
Place of Publication	Copenhagen
Publisher	Association for Computing Machinery
ISBN (Electronic)	978-1-4503-4781-5
DOIs	https://doi.org/10.1145/2993412.3003393
Publication status	Published - 2016

Keywords

Computing methodologies

Access to Document

10.1145/2993412.3003393

GeneticFinal published version, 1.15 MB

Cite this

@inproceedings{b4bb49d370fe42eea6b8a4e5deab4d25,

title = "A genetic approach to architectural pattern discovery",

abstract = "Architectural patterns represent reusable design of software architecture at a high level of abstraction. They can be used to structure new applications and to recover the modular structure of existing systems. Techniques like Architecture Compliance Checking (ACC) focus on testing whether realised artefacts adhere to the architecture. Typically, these techniques require a complete architecture as input.In this paper, we present a genetic approach to express and discover architectural patterns based on the allowed and disallowed dependencies between the pattern elements. Through static ACC, we validate the genuineness of the found instances. Initial validation shows the potential of the approach.",

keywords = "Computing methodologies",

author = "J.G.T. Peters and {van der Werf}, J.M.E.M.",

year = "2016",

doi = "10.1145/2993412.3003393",

language = "English",

booktitle = "ECSAW '16",

publisher = "Association for Computing Machinery ",

address = "United States",

}

TY - GEN

T1 - A genetic approach to architectural pattern discovery

AU - Peters, J.G.T.

AU - van der Werf, J.M.E.M.

PY - 2016

Y1 - 2016

N2 - Architectural patterns represent reusable design of software architecture at a high level of abstraction. They can be used to structure new applications and to recover the modular structure of existing systems. Techniques like Architecture Compliance Checking (ACC) focus on testing whether realised artefacts adhere to the architecture. Typically, these techniques require a complete architecture as input.In this paper, we present a genetic approach to express and discover architectural patterns based on the allowed and disallowed dependencies between the pattern elements. Through static ACC, we validate the genuineness of the found instances. Initial validation shows the potential of the approach.

AB - Architectural patterns represent reusable design of software architecture at a high level of abstraction. They can be used to structure new applications and to recover the modular structure of existing systems. Techniques like Architecture Compliance Checking (ACC) focus on testing whether realised artefacts adhere to the architecture. Typically, these techniques require a complete architecture as input.In this paper, we present a genetic approach to express and discover architectural patterns based on the allowed and disallowed dependencies between the pattern elements. Through static ACC, we validate the genuineness of the found instances. Initial validation shows the potential of the approach.

KW - Computing methodologies

U2 - 10.1145/2993412.3003393

DO - 10.1145/2993412.3003393

M3 - Conference contribution

BT - ECSAW '16

PB - Association for Computing Machinery

CY - Copenhagen

ER -

A genetic approach to architectural pattern discovery

Abstract

Keywords

Access to Document

Fingerprint

Cite this