Intelligent Development Environment and Software Knowledge Graph

Ze Qi Lin; Bing Xie; Yan Zhen Zou; Jun Feng Zhao; Xuan Dong Li; Jun Wei; Hai Long Sun; Gang Yin

doi:10.1007/s11390-017-1718-y

Intelligent Development Environment and Software Knowledge Graph

Ze Qi Lin
, Bing Xie^*
, Yan Zhen Zou
, Jun Feng Zhao
, Xuan Dong Li
, Jun Wei
, Hai Long Sun
, Gang Yin

^*Corresponding author for this work

School of Software

Peking University
Beida (Binhai) Information Research
Nanjing University
CAS - Institute of Software
National University of Defense Technology

Research output: Contribution to journal › Article › peer-review

56 Scopus citations

Abstract

Software intelligent development has become one of the most important research trends in software engineering. In this paper, we put forward two key concepts — intelligent development environment (IntelliDE) and software knowledge graph — for the first time. IntelliDE is an ecosystem in which software big data are aggregated, mined and analyzed to provide intelligent assistance in the life cycle of software development. We present its architecture and discuss its key research issues and challenges. Software knowledge graph is a software knowledge representation and management framework, which plays an important role in IntelliDE. We study its concept and introduce some concrete details and examples to show how it could be constructed and leveraged.

Original language	English
Pages (from-to)	242-249
Number of pages	8
Journal	Journal of Computer Science and Technology
Volume	32
Issue number	2
DOIs	https://doi.org/10.1007/s11390-017-1718-y
State	Published - 1 Mar 2017

Keywords

intelligent development environment
semantic search
software big data
software knowledge graph

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10.1007/s11390-017-1718-y

Cite this

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title = "Intelligent Development Environment and Software Knowledge Graph",

abstract = "Software intelligent development has become one of the most important research trends in software engineering. In this paper, we put forward two key concepts — intelligent development environment (IntelliDE) and software knowledge graph — for the first time. IntelliDE is an ecosystem in which software big data are aggregated, mined and analyzed to provide intelligent assistance in the life cycle of software development. We present its architecture and discuss its key research issues and challenges. Software knowledge graph is a software knowledge representation and management framework, which plays an important role in IntelliDE. We study its concept and introduce some concrete details and examples to show how it could be constructed and leveraged.",

keywords = "intelligent development environment, semantic search, software big data, software knowledge graph",

author = "Lin, \{Ze Qi\} and Bing Xie and Zou, \{Yan Zhen\} and Zhao, \{Jun Feng\} and Li, \{Xuan Dong\} and Jun Wei and Sun, \{Hai Long\} and Gang Yin",

note = "Publisher Copyright: {\textcopyright} 2017, Springer Science+Business Media, LLC \& Science Press, China.",

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doi = "10.1007/s11390-017-1718-y",

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T1 - Intelligent Development Environment and Software Knowledge Graph

AU - Lin, Ze Qi

AU - Xie, Bing

AU - Zou, Yan Zhen

AU - Zhao, Jun Feng

AU - Li, Xuan Dong

AU - Wei, Jun

AU - Sun, Hai Long

AU - Yin, Gang

PY - 2017/3/1

Y1 - 2017/3/1

N2 - Software intelligent development has become one of the most important research trends in software engineering. In this paper, we put forward two key concepts — intelligent development environment (IntelliDE) and software knowledge graph — for the first time. IntelliDE is an ecosystem in which software big data are aggregated, mined and analyzed to provide intelligent assistance in the life cycle of software development. We present its architecture and discuss its key research issues and challenges. Software knowledge graph is a software knowledge representation and management framework, which plays an important role in IntelliDE. We study its concept and introduce some concrete details and examples to show how it could be constructed and leveraged.

AB - Software intelligent development has become one of the most important research trends in software engineering. In this paper, we put forward two key concepts — intelligent development environment (IntelliDE) and software knowledge graph — for the first time. IntelliDE is an ecosystem in which software big data are aggregated, mined and analyzed to provide intelligent assistance in the life cycle of software development. We present its architecture and discuss its key research issues and challenges. Software knowledge graph is a software knowledge representation and management framework, which plays an important role in IntelliDE. We study its concept and introduce some concrete details and examples to show how it could be constructed and leveraged.

KW - intelligent development environment

KW - semantic search

KW - software big data

KW - software knowledge graph

UR - https://www.scopus.com/pages/publications/85014898115

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M3 - 文章

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VL - 32

SP - 242

EP - 249

JO - Journal of Computer Science and Technology

JF - Journal of Computer Science and Technology

IS - 2

ER -

Intelligent Development Environment and Software Knowledge Graph

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Keywords

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