文件名称:Algo
- 所属分类：
- JSP源码/Java
- 资源属性：
- [Java] [源码]
- 上传时间：
- 2015-12-06
- 文件大小：
- 8kb
- 下载次数：
- 0次
- 提 供 者：
- ben *****
- 相关连接：
- 无
- 下载说明：
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For a given program, testing, locating the errors identified,
and correcting those errors is a critical, yet expensive process.
The field of Search Based Software Engineering (SBSE)
addresses these phases by formulating them as search problems.
The Coevolutionary Automated Software Correction
(CASC) system targets the correction phase by coevolving
test cases and programs at the source code level. The latest
version of the CASC system is presented, featuring multiobjective
optimization and an enhanced representation language.
Results are presented demonstrating CASC’s ability
to successfully correct five seeded bugs in two non-trivial
programs the Siemens test suite. Additionally, evidence
is provided substantiating the hypothesis that multiobjective
optimization is beneficial to SBSE-For a given program, testing, locating the errors identified,
and correcting those errors is a critical, yet expensive process.
The field of Search Based Software Engineering (SBSE)
addresses these phases by formulating them as search problems.
The Coevolutionary Automated Software Correction
(CASC) system targets the correction phase by coevolving
test cases and programs at the source code level. The latest
version of the CASC system is presented, featuring multiobjective
optimization and an enhanced representation language.
Results are presented demonstrating CASC’s ability
to successfully correct five seeded bugs in two non-trivial
programs the Siemens test suite. Additionally, evidence
is provided substantiating the hypothesis that multiobjective
optimization is beneficial to SBSE
and correcting those errors is a critical, yet expensive process.
The field of Search Based Software Engineering (SBSE)
addresses these phases by formulating them as search problems.
The Coevolutionary Automated Software Correction
(CASC) system targets the correction phase by coevolving
test cases and programs at the source code level. The latest
version of the CASC system is presented, featuring multiobjective
optimization and an enhanced representation language.
Results are presented demonstrating CASC’s ability
to successfully correct five seeded bugs in two non-trivial
programs the Siemens test suite. Additionally, evidence
is provided substantiating the hypothesis that multiobjective
optimization is beneficial to SBSE-For a given program, testing, locating the errors identified,
and correcting those errors is a critical, yet expensive process.
The field of Search Based Software Engineering (SBSE)
addresses these phases by formulating them as search problems.
The Coevolutionary Automated Software Correction
(CASC) system targets the correction phase by coevolving
test cases and programs at the source code level. The latest
version of the CASC system is presented, featuring multiobjective
optimization and an enhanced representation language.
Results are presented demonstrating CASC’s ability
to successfully correct five seeded bugs in two non-trivial
programs the Siemens test suite. Additionally, evidence
is provided substantiating the hypothesis that multiobjective
optimization is beneficial to SBSE
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下载文件列表
Algo\.classpath
....\.project
....\.settings\org.eclipse.jdt.core.prefs
....\bin\genetic.class
....\...\individual.class
....\src\genetic.java
....\...\individual.java
....\.settings
....\bin
....\src
Algo