Mining open source component behavior for reuse evaluation

Ji Wu; Chun Wang; Xiao Xia Jia; Chao Liu

doi:10.1007/978-3-540-68073-4_10

Mining open source component behavior for reuse evaluation

Ji Wu^*
, Chun Wang
, Xiao Xia Jia
, Chao Liu

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University

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

Abstract

Reusing Open Source Component (OSC) has become more and more popular in developing in-house applications. Before integrating an OSC into project, the component has to be evaluated according to the project. This paper proposes the usage and dependency model to help understand OSC from the interactions with its usage context. The usage and dependency model extends the traditional usage model with the context dependency and backward dependency, which are widely observed in open source project. Based on the usage model, this paper proposes three metrics to measure the interaction complexity. To construct the usage and dependency model, the invocation matrix and the mining algorithm are proposed. The framework component in open source project Junit 4.4 is selected to validate this research.

Original language	English
Title of host publication	High Confidence Software Reuse in Large Systems - 10th International Conference on Software Reuse, ICSR 2008, Proceedings
Pages	112-115
Number of pages	4
DOIs	https://doi.org/10.1007/978-3-540-68073-4_10
State	Published - 2008
Event	10th International Conference on Software Reuse, ICSR 2008 - Beijing, China Duration: 25 May 2008 → 29 May 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5030 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Software Reuse, ICSR 2008
Country/Territory	China
City	Beijing
Period	25/05/08 → 29/05/08

Keywords

Open source component
Usage and dependency model
Usage model

Access to Document

10.1007/978-3-540-68073-4_10

Cite this

Wu, J., Wang, C., Jia, X. X., & Liu, C. (2008). Mining open source component behavior for reuse evaluation. In High Confidence Software Reuse in Large Systems - 10th International Conference on Software Reuse, ICSR 2008, Proceedings (pp. 112-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5030 LNCS). https://doi.org/10.1007/978-3-540-68073-4_10

Wu, Ji ; Wang, Chun ; Jia, Xiao Xia et al. / Mining open source component behavior for reuse evaluation. High Confidence Software Reuse in Large Systems - 10th International Conference on Software Reuse, ICSR 2008, Proceedings. 2008. pp. 112-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{32b7c3678eaf42d39c7799ac6a88951e,

title = "Mining open source component behavior for reuse evaluation",

abstract = "Reusing Open Source Component (OSC) has become more and more popular in developing in-house applications. Before integrating an OSC into project, the component has to be evaluated according to the project. This paper proposes the usage and dependency model to help understand OSC from the interactions with its usage context. The usage and dependency model extends the traditional usage model with the context dependency and backward dependency, which are widely observed in open source project. Based on the usage model, this paper proposes three metrics to measure the interaction complexity. To construct the usage and dependency model, the invocation matrix and the mining algorithm are proposed. The framework component in open source project Junit 4.4 is selected to validate this research.",

keywords = "Open source component, Usage and dependency model, Usage model",

author = "Ji Wu and Chun Wang and Jia, \{Xiao Xia\} and Chao Liu",

year = "2008",

doi = "10.1007/978-3-540-68073-4\_10",

language = "英语",

isbn = "3540680624",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "112--115",

booktitle = "High Confidence Software Reuse in Large Systems - 10th International Conference on Software Reuse, ICSR 2008, Proceedings",

note = "10th International Conference on Software Reuse, ICSR 2008 ; Conference date: 25-05-2008 Through 29-05-2008",

}

Wu, J, Wang, C, Jia, XX & Liu, C 2008, Mining open source component behavior for reuse evaluation. in High Confidence Software Reuse in Large Systems - 10th International Conference on Software Reuse, ICSR 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5030 LNCS, pp. 112-115, 10th International Conference on Software Reuse, ICSR 2008, Beijing, China, 25/05/08. https://doi.org/10.1007/978-3-540-68073-4_10

Mining open source component behavior for reuse evaluation. / Wu, Ji; Wang, Chun; Jia, Xiao Xia et al.
High Confidence Software Reuse in Large Systems - 10th International Conference on Software Reuse, ICSR 2008, Proceedings. 2008. p. 112-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5030 LNCS).

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

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AU - Wu, Ji

AU - Wang, Chun

AU - Jia, Xiao Xia

AU - Liu, Chao

PY - 2008

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N2 - Reusing Open Source Component (OSC) has become more and more popular in developing in-house applications. Before integrating an OSC into project, the component has to be evaluated according to the project. This paper proposes the usage and dependency model to help understand OSC from the interactions with its usage context. The usage and dependency model extends the traditional usage model with the context dependency and backward dependency, which are widely observed in open source project. Based on the usage model, this paper proposes three metrics to measure the interaction complexity. To construct the usage and dependency model, the invocation matrix and the mining algorithm are proposed. The framework component in open source project Junit 4.4 is selected to validate this research.

AB - Reusing Open Source Component (OSC) has become more and more popular in developing in-house applications. Before integrating an OSC into project, the component has to be evaluated according to the project. This paper proposes the usage and dependency model to help understand OSC from the interactions with its usage context. The usage and dependency model extends the traditional usage model with the context dependency and backward dependency, which are widely observed in open source project. Based on the usage model, this paper proposes three metrics to measure the interaction complexity. To construct the usage and dependency model, the invocation matrix and the mining algorithm are proposed. The framework component in open source project Junit 4.4 is selected to validate this research.

KW - Open source component

KW - Usage and dependency model

KW - Usage model

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M3 - 会议稿件

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SN - 9783540680628

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - High Confidence Software Reuse in Large Systems - 10th International Conference on Software Reuse, ICSR 2008, Proceedings

T2 - 10th International Conference on Software Reuse, ICSR 2008

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ER -

Wu J, Wang C, Jia XX, Liu C. Mining open source component behavior for reuse evaluation. In High Confidence Software Reuse in Large Systems - 10th International Conference on Software Reuse, ICSR 2008, Proceedings. 2008. p. 112-115. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-68073-4_10

Mining open source component behavior for reuse evaluation

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Keywords

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