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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Towards Semi-Automatic Generation of Provably Correct Algorithmic Programs
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Haihe Shi, Jinyun Xue, "Towards Semi-Automatic Generation of Provably Correct Algorithmic Programs," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 3, pp. 952-957, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.170,
author = {Haihe Shi and Jinyun Xue},
title = {Towards Semi-Automatic Generation of Provably Correct Algorithmic Programs},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {952-957},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.170},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Towards Semi-Automatic Generation of Provably Correct Algorithmic Programs
SN - 0-7695-2909-7
SP952
EP957
A1 - Haihe Shi,
A1 - Jinyun Xue,
PY - 2007
KW - null
VL - 3
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Haihe Shi, Chinese Academy of Sciences, China; Graduate University of Chinese Academy of Sciences, China; Jiangxi Normal University, China
Jinyun Xue, Chinese Academy of Sciences, China; Jiangxi Normal University, China
The paper gives an overview of a PAR-based Algorithm Design System PADS. PADS provides formal and semi-automatic support for the generation of algorithmic programs as well as loop invariants. It has several extensible built-in libraries that contain strategies and rules for PAR-based algorithm design. To illustrate the use of PADS, an example is given. PADS aims to bring a mechanizable and unified development process which starts from a high-level specification and results in provably correct products, meanwhile enables users with little mathematical knowledge about formal methods to develop algorithmic programs efficiently.
Citation:
Haihe Shi, Jinyun Xue, "Towards Semi-Automatic Generation of Provably Correct Algorithmic Programs," snpd, vol. 3, pp.952-957, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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