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TRUSTIE: towards software production based on crowd wisdom

Published: 16 September 2016 Publication History

Abstract

Software development is either creation activities that rely on human creativity and talents, or manufacturing activities that follow the engineering processes. This talk introduces a software development platform and ecosystem that combines the strengths of the above two aspects. Firstly, we propose the Trustworthy Software Model (TSM) containing tree novel models, i.e., lifecycle model, evidence model and evolution model. Based on the TSM, we designed and implemented TRUSTIE, which distinguishes itself by providing the software collaborative development service and the resource sharing service with the general support of trustworthiness-analysis tools. TRUSTIE enables crowd-oriented collaboration among internal development teams and the external crowds by combining the software creation and software manufacturing in one ecosystem.

References

[1]
T. DeMarco and L. Timothy, Peopleware: Productive Projects and Teams (Second Edition), Dorset House Publishing Company, Incorporated; February 1, 1999.
[2]
J. Surowiecki, The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Doubleday, May 2004.
[3]
Trustie Software Resource Management Specification, TRUSTIE-SRMC V2.0. Trustie Team, 2011.
[4]
Trustie Software Trustworthiness Classification Specification, TRUSTIE-STC V2.0. Trustie Team, 2011.
[5]
Trustie Collaborative Development Environment Reference Specification, TRUSTIE-FORGE V2.0. Trustie Team, 2011.
[6]
Trustie Software Production Line Integration Specification, TRUSTIE-SPL V3.1. Trustie Team, 2011.
[7]
Gang Yin, Tao Wang, Huaimin Wang, Qiang Fan, Yang Zhang, Yue Yu, Cheng Yang: OSSEAN: Mining Crowd Wisdom in Open Source Communities. SOSE 2015: 367--371
[8]
Tao Wang, Huaimin Wang, Gang Yin, Charles X. Ling, Xiao Li, Peng Zou:Tag recommendation for open source software. Frontiers of Computer Science 8(1): 69--82 (2014)
[9]
Cai Sibo, Zou Yanzhen, Shao Lingshuang, Xie Bing, Shao Weizhong. Framework Supporting Software Assets Evaluation on Trustworthiness. Journal of Software, China. Vol.21, No.2, 2010, pp.359--372.

Cited By

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  • (2019)BBCPS: A Blockchain Based Open Source Contribution Protection SystemBlockchain and Trustworthy Systems10.1007/978-981-15-2777-7_54(662-675)Online publication date: 23-Dec-2019

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cover image ACM Other conferences
SPLC '16: Proceedings of the 20th International Systems and Software Product Line Conference
September 2016
367 pages
ISBN:9781450340502
DOI:10.1145/2934466
  • General Chair:
  • Hong Mei
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Huawei Technologies Co. Ltd.: Huawei Technologies Co. Ltd.
  • Key Laboratory of High Confidence Software Technologies: Key Laboratory of High Confidence Software Technologies, Ministry of Education
  • DC Holdings: Digital China Holdings Limited

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 September 2016

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Author Tags

  1. crowd wisdom
  2. software development
  3. trustworthy evidence

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  • Research-article

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SPLC '16
Sponsor:
  • Huawei Technologies Co. Ltd.
  • Key Laboratory of High Confidence Software Technologies
  • DC Holdings

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Overall Acceptance Rate 167 of 463 submissions, 36%

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Cited By

View all
  • (2019)BBCPS: A Blockchain Based Open Source Contribution Protection SystemBlockchain and Trustworthy Systems10.1007/978-981-15-2777-7_54(662-675)Online publication date: 23-Dec-2019

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