Mining analysis patterns by structure and word similarity

Yutaro Nomoto; Atsuto Kubo; Hironori Washizaki; Yoshiaki Fukazawa

doi:10.1145/2524629.2524655

Mining analysis patterns by structure and word similarity

Yutaro Nomoto, Atsuto Kubo, Hironori Washizaki, Yoshiaki Fukazawa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Analysis patterns encapsulating recurrent analysis processes and results are reused for software analysis. Due to high cost of extracting analysis patterns from existing assets, analysis patterns are sometimes unavailable even though there are a lot of requirements and models as assets. Thus we propose a technique for extracting analysis patterns from existing requirements and corresponding analysis models described in the form of UML class diagrams. Our technique analyzes a set of requirements and corresponding analysis models in terms of structure and word similarity, and specifies commonality. By using our technique, it is possible to extract analysis patterns without high cost.

Original language	English
Title of host publication	ACM International Conference Proceeding Series
Publisher	Association for Computing Machinery
Volume	2011-October
ISBN (Print)	9781450321099
DOIs	https://doi.org/10.1145/2524629.2524655
Publication status	Published - 2011 Oct 5
Event	2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011 - Tokyo, Japan Duration: 2011 Oct 5 → 2011 Oct 7

Other

Other	2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011
Country/Territory	Japan
City	Tokyo
Period	11/10/5 → 11/10/7

Keywords

Analysis patterns
Pattern extraction
Thesaurus
UML (Unified Modeling Language)

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

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10.1145/2524629.2524655

Cite this

@inproceedings{425dbeecf92e47d582f1788f95a31775,

title = "Mining analysis patterns by structure and word similarity",

abstract = "Analysis patterns encapsulating recurrent analysis processes and results are reused for software analysis. Due to high cost of extracting analysis patterns from existing assets, analysis patterns are sometimes unavailable even though there are a lot of requirements and models as assets. Thus we propose a technique for extracting analysis patterns from existing requirements and corresponding analysis models described in the form of UML class diagrams. Our technique analyzes a set of requirements and corresponding analysis models in terms of structure and word similarity, and specifies commonality. By using our technique, it is possible to extract analysis patterns without high cost.",

keywords = "Analysis patterns, Pattern extraction, Thesaurus, UML (Unified Modeling Language)",

author = "Yutaro Nomoto and Atsuto Kubo and Hironori Washizaki and Yoshiaki Fukazawa",

year = "2011",

month = oct,

day = "5",

doi = "10.1145/2524629.2524655",

language = "English",

isbn = "9781450321099",

volume = "2011-October",

booktitle = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

note = "2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011 ; Conference date: 05-10-2011 Through 07-10-2011",

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TY - GEN

T1 - Mining analysis patterns by structure and word similarity

AU - Nomoto, Yutaro

AU - Kubo, Atsuto

AU - Washizaki, Hironori

AU - Fukazawa, Yoshiaki

PY - 2011/10/5

Y1 - 2011/10/5

N2 - Analysis patterns encapsulating recurrent analysis processes and results are reused for software analysis. Due to high cost of extracting analysis patterns from existing assets, analysis patterns are sometimes unavailable even though there are a lot of requirements and models as assets. Thus we propose a technique for extracting analysis patterns from existing requirements and corresponding analysis models described in the form of UML class diagrams. Our technique analyzes a set of requirements and corresponding analysis models in terms of structure and word similarity, and specifies commonality. By using our technique, it is possible to extract analysis patterns without high cost.

AB - Analysis patterns encapsulating recurrent analysis processes and results are reused for software analysis. Due to high cost of extracting analysis patterns from existing assets, analysis patterns are sometimes unavailable even though there are a lot of requirements and models as assets. Thus we propose a technique for extracting analysis patterns from existing requirements and corresponding analysis models described in the form of UML class diagrams. Our technique analyzes a set of requirements and corresponding analysis models in terms of structure and word similarity, and specifies commonality. By using our technique, it is possible to extract analysis patterns without high cost.

KW - Analysis patterns

KW - Pattern extraction

KW - Thesaurus

KW - UML (Unified Modeling Language)

UR - http://www.scopus.com/inward/record.url?scp=84940664330&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84940664330&partnerID=8YFLogxK

U2 - 10.1145/2524629.2524655

DO - 10.1145/2524629.2524655

M3 - Conference contribution

AN - SCOPUS:84940664330

SN - 9781450321099

VL - 2011-October

BT - ACM International Conference Proceeding Series

PB - Association for Computing Machinery

T2 - 2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011

Y2 - 5 October 2011 through 7 October 2011

ER -

Mining analysis patterns by structure and word similarity

Abstract

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Keywords

ASJC Scopus subject areas

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