Poster: Synthesizing relation-Aware entity transformation by examples

Jiarong Wu; Yanyan Jiang; Chang Xu; Shing Chi Cheung; Xiaoxing Ma; Jian Lu

doi:10.1145/3183440.3194963

Poster: Synthesizing relation-Aware entity transformation by examples

Jiarong Wu, Yanyan Jiang, Chang Xu, Shing Chi Cheung, Xiaoxing Ma, Jian Lu

Department of Computer Science and Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

2 Citations (Scopus)

Abstract

Recently, programming by examples (PBE) technique achieves a great success in processing and transforming data entities, yet existing approaches generally fall short on the tasks concerning entity relations. This paper presents ENTER, a domain-Agnostic language for relation-Aware entity transformation synthesis. It leverages the combination of two basic relations, the equivalence relation and the total order relation, to succinctly express complex entity relations. ENTER can be instantiated with domain-specific elements to solve a wide range of entity transformation tasks.

Original language	English
Title of host publication	Proceedings - International Conference on Software Engineering
Publisher	IEEE Computer Society
Pages	266-267
Number of pages	2
ISBN (Electronic)	9781450356633
DOIs	https://doi.org/10.1145/3183440.3194963
Publication status	Published - 27 May 2018
Event	40th ACM/IEEE International Conference on Software Engineering, ICSE 2018 - Gothenburg, Sweden Duration: 27 May 2018 → 3 Jun 2018

Publication series

Name	Proceedings - International Conference on Software Engineering
ISSN (Print)	0270-5257

Conference

Conference	40th ACM/IEEE International Conference on Software Engineering, ICSE 2018
Country/Territory	Sweden
City	Gothenburg
Period	27/05/18 → 3/06/18

Bibliographical note

Publisher Copyright:
© 2018 Authors.

Keywords

Data transformation
Program synthesis
Programming by examples

Access to Document

10.1145/3183440.3194963

Cite this

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title = "Poster: Synthesizing relation-Aware entity transformation by examples",

abstract = "Recently, programming by examples (PBE) technique achieves a great success in processing and transforming data entities, yet existing approaches generally fall short on the tasks concerning entity relations. This paper presents ENTER, a domain-Agnostic language for relation-Aware entity transformation synthesis. It leverages the combination of two basic relations, the equivalence relation and the total order relation, to succinctly express complex entity relations. ENTER can be instantiated with domain-specific elements to solve a wide range of entity transformation tasks.",

keywords = "Data transformation, Program synthesis, Programming by examples",

author = "Jiarong Wu and Yanyan Jiang and Chang Xu and Cheung, \{Shing Chi\} and Xiaoxing Ma and Jian Lu",

note = "Publisher Copyright: {\textcopyright} 2018 Authors.; 40th ACM/IEEE International Conference on Software Engineering, ICSE 2018 ; Conference date: 27-05-2018 Through 03-06-2018",

year = "2018",

month = may,

day = "27",

doi = "10.1145/3183440.3194963",

language = "English",

series = "Proceedings - International Conference on Software Engineering",

publisher = "IEEE Computer Society",

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Wu, J, Jiang, Y, Xu, C, Cheung, SC, Ma, X & Lu, J 2018, Poster: Synthesizing relation-Aware entity transformation by examples. in Proceedings - International Conference on Software Engineering. Proceedings - International Conference on Software Engineering, IEEE Computer Society, pp. 266-267, 40th ACM/IEEE International Conference on Software Engineering, ICSE 2018, Gothenburg, Sweden, 27/05/18. https://doi.org/10.1145/3183440.3194963

Poster: Synthesizing relation-Aware entity transformation by examples. / Wu, Jiarong; Jiang, Yanyan; Xu, Chang et al.
Proceedings - International Conference on Software Engineering. IEEE Computer Society, 2018. p. 266-267 (Proceedings - International Conference on Software Engineering).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Poster

T2 - 40th ACM/IEEE International Conference on Software Engineering, ICSE 2018

AU - Wu, Jiarong

AU - Jiang, Yanyan

AU - Xu, Chang

AU - Cheung, Shing Chi

AU - Ma, Xiaoxing

AU - Lu, Jian

PY - 2018/5/27

Y1 - 2018/5/27

N2 - Recently, programming by examples (PBE) technique achieves a great success in processing and transforming data entities, yet existing approaches generally fall short on the tasks concerning entity relations. This paper presents ENTER, a domain-Agnostic language for relation-Aware entity transformation synthesis. It leverages the combination of two basic relations, the equivalence relation and the total order relation, to succinctly express complex entity relations. ENTER can be instantiated with domain-specific elements to solve a wide range of entity transformation tasks.

AB - Recently, programming by examples (PBE) technique achieves a great success in processing and transforming data entities, yet existing approaches generally fall short on the tasks concerning entity relations. This paper presents ENTER, a domain-Agnostic language for relation-Aware entity transformation synthesis. It leverages the combination of two basic relations, the equivalence relation and the total order relation, to succinctly express complex entity relations. ENTER can be instantiated with domain-specific elements to solve a wide range of entity transformation tasks.

KW - Data transformation

KW - Program synthesis

KW - Programming by examples

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000450109000103

UR - https://openalex.org/W2808882491

UR - https://www.scopus.com/pages/publications/85049685534

U2 - 10.1145/3183440.3194963

DO - 10.1145/3183440.3194963

M3 - Conference Paper published in a book

T3 - Proceedings - International Conference on Software Engineering

SP - 266

EP - 267

BT - Proceedings - International Conference on Software Engineering

PB - IEEE Computer Society

Y2 - 27 May 2018 through 3 June 2018

ER -

Poster: Synthesizing relation-Aware entity transformation by examples

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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