Article

SEMINAL: software engineering using metaheuristic INnovative ALgorithms

Authors:

Mark Harman,

Bryan JonesAuthors Info & Claims

ICSE '01: Proceedings of the 23rd International Conference on Software Engineering

Pages 762 - 763

Published: 01 July 2001 Publication History

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Abstract

Metaheuristic search algorithms have been widely applied to almost all engineering disciplines with the exception of software engineering.

It is surprising that these essentially software driven technologies have not yet fully penetrated the software engineering research community and are not widely applied when compared to the more traditional engineering disciplines.

This workshop aims to build the embryonic research community interested in the application of metaheuristic algorithms to software engineering problems.

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Cited By

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Harman MMansouri SZhang Y(2012)Search-based software engineeringACM Computing Surveys10.1145/2379776.237978745:1(1-61)Online publication date: 7-Dec-2012
https://dl.acm.org/doi/10.1145/2379776.2379787
Fraser GZeller ATonella POrso A(2010)Mutation-driven generation of unit tests and oraclesProceedings of the 19th international symposium on Software testing and analysis10.1145/1831708.1831728(147-158)Online publication date: 12-Jul-2010
https://dl.acm.org/doi/10.1145/1831708.1831728
Harman M(2006)Search based software engineeringProceedings of the 6th international conference on Computational Science - Volume Part IV10.1007/11758549_100(740-747)Online publication date: 28-May-2006
https://dl.acm.org/doi/10.1007/11758549_100

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SEMINAL: software engineering using metaheuristic INnovative ALgorithms

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Published In

ICSE '01: Proceedings of the 23rd International Conference on Software Engineering

July 2001

844 pages

ISBN:0769510507

Chairman:
Hausi A. Müller
Univ. of Victoria, Canada

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IEEE Computer Society

United States

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Published: 01 July 2001

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ICSE01

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SIGSOFT

ICSE01: 23rd International Conference on Software Engineering

May 12 - 19, 2001

Ontario, Toronto, Canada

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ICSE '01 Paper Acceptance Rate 47 of 268 submissions, 18%;

Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Harman MMansouri SZhang Y(2012)Search-based software engineeringACM Computing Surveys10.1145/2379776.237978745:1(1-61)Online publication date: 7-Dec-2012
https://dl.acm.org/doi/10.1145/2379776.2379787
Fraser GZeller ATonella POrso A(2010)Mutation-driven generation of unit tests and oraclesProceedings of the 19th international symposium on Software testing and analysis10.1145/1831708.1831728(147-158)Online publication date: 12-Jul-2010
https://dl.acm.org/doi/10.1145/1831708.1831728
Harman M(2006)Search based software engineeringProceedings of the 6th international conference on Computational Science - Volume Part IV10.1007/11758549_100(740-747)Online publication date: 28-May-2006
https://dl.acm.org/doi/10.1007/11758549_100

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The SEMINAL workshop: reformulating software engineering as a metaheuristic search problem

A Survey of Software Engineering Practice: Tools, Methods, and Results

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The SEMINAL workshop: reformulating software engineering as a metaheuristic search problem

A Survey of Software Engineering Practice: Tools, Methods, and Results

Development of software engineering: co-operative efforts from academia, government and industry

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