XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code

Weijian Zheng; Dali Wang; Fengguang Song

doi:10.1007/978-3-030-22734-0_17

XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code

Weijian Zheng, Dali Wang, Fengguang Song

Earth Systems Modeling

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

6 Scopus citations

Abstract

Many scientific communities have adopted community-based models that integrate multiple components to simulate whole system dynamics. The community software projects’ complexity, stems from the integration of multiple individual software components that were developed under different application requirements and various machine architectures, has become a challenge for effective software system understanding and continuous software development. The paper presents an integrated software toolkit called X-ray Software Scanner (in abbreviation, XScan) for a better understanding of large-scale community-based scientific codes. Our software tool provides support to quickly summarize the overall information of scientific codes, including the number of lines of code, programming languages, external library dependencies, as well as architecture-dependent parallel software features. The XScan toolkit also realizes a static software analysis component to collect detailed structural information and provides an interactive visualization and analysis of the functions. We use a large-scale community-based Earth System Model to demonstrate the workflow, functions and visualization of the toolkit. We also discuss the application of advanced graph analytics techniques to assist software modular design and component refactoring.

Original language	English
Title of host publication	Computational Science – ICCS 2019 - 19th International Conference, Proceedings
Editors	João M.F. Rodrigues, Pedro J.S. Cardoso, Jânio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael H. Lees, Peter M.A. Sloot, Jack J. Dongarra
Publisher	Springer Verlag
Pages	226-237
Number of pages	12
ISBN (Print)	9783030227333
DOIs	https://doi.org/10.1007/978-3-030-22734-0_17
State	Published - 2019
Event	19th International Conference on Computational Science, ICCS 2019 - Faro, Portugal Duration: Jun 12 2019 → Jun 14 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11536 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Computational Science, ICCS 2019
Country/Territory	Portugal
City	Faro
Period	06/12/19 → 06/14/19

Funding

This research was funded by the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (Interoperable Design of Extreme-scale Application Software).

Keywords

Application software analysis
Code modulation
Code refactoring
Community-based code

Access to Document

10.1007/978-3-030-22734-0_17

Cite this

Zheng, W., Wang, D., & Song, F. (2019). XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code. In J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, P. M. A. Sloot, & J. J. Dongarra (Eds.), Computational Science – ICCS 2019 - 19th International Conference, Proceedings (pp. 226-237). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11536 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22734-0_17

Zheng, Weijian ; Wang, Dali ; Song, Fengguang. / XScan : An Integrated Tool for Understanding Open Source Community-Based Scientific Code. Computational Science – ICCS 2019 - 19th International Conference, Proceedings. editor / João M.F. Rodrigues ; Pedro J.S. Cardoso ; Jânio Monteiro ; Roberto Lam ; Valeria V. Krzhizhanovskaya ; Michael H. Lees ; Peter M.A. Sloot ; Jack J. Dongarra. Springer Verlag, 2019. pp. 226-237 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code",

abstract = "Many scientific communities have adopted community-based models that integrate multiple components to simulate whole system dynamics. The community software projects{\textquoteright} complexity, stems from the integration of multiple individual software components that were developed under different application requirements and various machine architectures, has become a challenge for effective software system understanding and continuous software development. The paper presents an integrated software toolkit called X-ray Software Scanner (in abbreviation, XScan) for a better understanding of large-scale community-based scientific codes. Our software tool provides support to quickly summarize the overall information of scientific codes, including the number of lines of code, programming languages, external library dependencies, as well as architecture-dependent parallel software features. The XScan toolkit also realizes a static software analysis component to collect detailed structural information and provides an interactive visualization and analysis of the functions. We use a large-scale community-based Earth System Model to demonstrate the workflow, functions and visualization of the toolkit. We also discuss the application of advanced graph analytics techniques to assist software modular design and component refactoring.",

keywords = "Application software analysis, Code modulation, Code refactoring, Community-based code",

author = "Weijian Zheng and Dali Wang and Fengguang Song",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 19th International Conference on Computational Science, ICCS 2019 ; Conference date: 12-06-2019 Through 14-06-2019",

year = "2019",

doi = "10.1007/978-3-030-22734-0_17",

language = "English",

isbn = "9783030227333",

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

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pages = "226--237",

editor = "Rodrigues, {Jo{\~a}o M.F.} and Cardoso, {Pedro J.S.} and J{\^a}nio Monteiro and Roberto Lam and Krzhizhanovskaya, {Valeria V.} and Lees, {Michael H.} and Sloot, {Peter M.A.} and Dongarra, {Jack J.}",

booktitle = "Computational Science – ICCS 2019 - 19th International Conference, Proceedings",

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Zheng, W, Wang, D & Song, F 2019, XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code. in JMF Rodrigues, PJS Cardoso, J Monteiro, R Lam, VV Krzhizhanovskaya, MH Lees, PMA Sloot & JJ Dongarra (eds), Computational Science – ICCS 2019 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11536 LNCS, Springer Verlag, pp. 226-237, 19th International Conference on Computational Science, ICCS 2019, Faro, Portugal, 06/12/19. https://doi.org/10.1007/978-3-030-22734-0_17

XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code. / Zheng, Weijian; Wang, Dali; Song, Fengguang.
Computational Science – ICCS 2019 - 19th International Conference, Proceedings. ed. / João M.F. Rodrigues; Pedro J.S. Cardoso; Jânio Monteiro; Roberto Lam; Valeria V. Krzhizhanovskaya; Michael H. Lees; Peter M.A. Sloot; Jack J. Dongarra. Springer Verlag, 2019. p. 226-237 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11536 LNCS).

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

TY - GEN

T1 - XScan

T2 - 19th International Conference on Computational Science, ICCS 2019

AU - Zheng, Weijian

AU - Wang, Dali

AU - Song, Fengguang

PY - 2019

Y1 - 2019

N2 - Many scientific communities have adopted community-based models that integrate multiple components to simulate whole system dynamics. The community software projects’ complexity, stems from the integration of multiple individual software components that were developed under different application requirements and various machine architectures, has become a challenge for effective software system understanding and continuous software development. The paper presents an integrated software toolkit called X-ray Software Scanner (in abbreviation, XScan) for a better understanding of large-scale community-based scientific codes. Our software tool provides support to quickly summarize the overall information of scientific codes, including the number of lines of code, programming languages, external library dependencies, as well as architecture-dependent parallel software features. The XScan toolkit also realizes a static software analysis component to collect detailed structural information and provides an interactive visualization and analysis of the functions. We use a large-scale community-based Earth System Model to demonstrate the workflow, functions and visualization of the toolkit. We also discuss the application of advanced graph analytics techniques to assist software modular design and component refactoring.

AB - Many scientific communities have adopted community-based models that integrate multiple components to simulate whole system dynamics. The community software projects’ complexity, stems from the integration of multiple individual software components that were developed under different application requirements and various machine architectures, has become a challenge for effective software system understanding and continuous software development. The paper presents an integrated software toolkit called X-ray Software Scanner (in abbreviation, XScan) for a better understanding of large-scale community-based scientific codes. Our software tool provides support to quickly summarize the overall information of scientific codes, including the number of lines of code, programming languages, external library dependencies, as well as architecture-dependent parallel software features. The XScan toolkit also realizes a static software analysis component to collect detailed structural information and provides an interactive visualization and analysis of the functions. We use a large-scale community-based Earth System Model to demonstrate the workflow, functions and visualization of the toolkit. We also discuss the application of advanced graph analytics techniques to assist software modular design and component refactoring.

KW - Application software analysis

KW - Code modulation

KW - Code refactoring

KW - Community-based code

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U2 - 10.1007/978-3-030-22734-0_17

DO - 10.1007/978-3-030-22734-0_17

M3 - Conference contribution

AN - SCOPUS:85067608483

SN - 9783030227333

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

SP - 226

EP - 237

BT - Computational Science – ICCS 2019 - 19th International Conference, Proceedings

A2 - Rodrigues, João M.F.

A2 - Cardoso, Pedro J.S.

A2 - Monteiro, Jânio

A2 - Lam, Roberto

A2 - Krzhizhanovskaya, Valeria V.

A2 - Lees, Michael H.

A2 - Sloot, Peter M.A.

A2 - Dongarra, Jack J.

PB - Springer Verlag

Y2 - 12 June 2019 through 14 June 2019

ER -

Zheng W, Wang D, Song F. XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code. In Rodrigues JMF, Cardoso PJS, Monteiro J, Lam R, Krzhizhanovskaya VV, Lees MH, Sloot PMA, Dongarra JJ, editors, Computational Science – ICCS 2019 - 19th International Conference, Proceedings. Springer Verlag. 2019. p. 226-237. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-22734-0_17

XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code

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