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Zsmell – Code Smell Detection for Open Source Software
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@article{IJASEIT10182, author = {Aziz Nanthaamornphong and Tanawat Saeang and Panyaprach Tularak}, title = {Zsmell – Code Smell Detection for Open Source Software}, journal = {International Journal on Advanced Science, Engineering and Information Technology}, volume = {10}, number = {3}, year = {2020}, pages = {1035--1041}, keywords = {software engineering; open source software; software maintenance; code smell; software quality.}, abstract = {Today, open-source software (OSS) is used in various applications. It has played a vital role in information systems of many user groups such as commercials, research, education, public health, and tourism. It is also a source of additional knowledge for collaborators because this type of software is easily accessible through websites that provide management of version control services such as GitHub. However, a recent study shows an increasing trend in the existence of code smells. In OSS, there is a growing number of code smells that cause software errors. Having a code smell in software is a serious issue since it impacts the software in terms of deployment, maintenance as well as user confidence toward the software. Finding code smells in the early stages of software development would provide for better software maintenance and reliability; thus, researchers invented the Zsmell software system that helps search for code smells in the source code saved in GitHub. Developed systems display data related to code smells in each source code version that was modified by collaborators. Thus, the developers will be able to employ the proper refactoring method, which is a change in the internal structure of software without changing the original functionality of the software. We believe that this system will enable open source collaborators to improve the quality of their OSS, especially on code smell reduction and the understanding of various types of code smell commonly found in OSS projects.
}, issn = {2088-5334}, publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development}, url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10182}, doi = {10.18517/ijaseit.10.3.10182} }
EndNote
%A Nanthaamornphong, Aziz %A Saeang, Tanawat %A Tularak, Panyaprach %D 2020 %T Zsmell – Code Smell Detection for Open Source Software %B 2020 %9 software engineering; open source software; software maintenance; code smell; software quality. %! Zsmell – Code Smell Detection for Open Source Software %K software engineering; open source software; software maintenance; code smell; software quality. %XToday, open-source software (OSS) is used in various applications. It has played a vital role in information systems of many user groups such as commercials, research, education, public health, and tourism. It is also a source of additional knowledge for collaborators because this type of software is easily accessible through websites that provide management of version control services such as GitHub. However, a recent study shows an increasing trend in the existence of code smells. In OSS, there is a growing number of code smells that cause software errors. Having a code smell in software is a serious issue since it impacts the software in terms of deployment, maintenance as well as user confidence toward the software. Finding code smells in the early stages of software development would provide for better software maintenance and reliability; thus, researchers invented the Zsmell software system that helps search for code smells in the source code saved in GitHub. Developed systems display data related to code smells in each source code version that was modified by collaborators. Thus, the developers will be able to employ the proper refactoring method, which is a change in the internal structure of software without changing the original functionality of the software. We believe that this system will enable open source collaborators to improve the quality of their OSS, especially on code smell reduction and the understanding of various types of code smell commonly found in OSS projects.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10182 %R doi:10.18517/ijaseit.10.3.10182 %J International Journal on Advanced Science, Engineering and Information Technology %V 10 %N 3 %@ 2088-5334
IEEE
Aziz Nanthaamornphong,Tanawat Saeang and Panyaprach Tularak,"Zsmell – Code Smell Detection for Open Source Software," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 3, pp. 1035-1041, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.3.10182.
RefMan/ProCite (RIS)
TY - JOUR AU - Nanthaamornphong, Aziz AU - Saeang, Tanawat AU - Tularak, Panyaprach PY - 2020 TI - Zsmell – Code Smell Detection for Open Source Software JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 3 Y2 - 2020 SP - 1035 EP - 1041 SN - 2088-5334 PB - INSIGHT - Indonesian Society for Knowledge and Human Development KW - software engineering; open source software; software maintenance; code smell; software quality. N2 -Today, open-source software (OSS) is used in various applications. It has played a vital role in information systems of many user groups such as commercials, research, education, public health, and tourism. It is also a source of additional knowledge for collaborators because this type of software is easily accessible through websites that provide management of version control services such as GitHub. However, a recent study shows an increasing trend in the existence of code smells. In OSS, there is a growing number of code smells that cause software errors. Having a code smell in software is a serious issue since it impacts the software in terms of deployment, maintenance as well as user confidence toward the software. Finding code smells in the early stages of software development would provide for better software maintenance and reliability; thus, researchers invented the Zsmell software system that helps search for code smells in the source code saved in GitHub. Developed systems display data related to code smells in each source code version that was modified by collaborators. Thus, the developers will be able to employ the proper refactoring method, which is a change in the internal structure of software without changing the original functionality of the software. We believe that this system will enable open source collaborators to improve the quality of their OSS, especially on code smell reduction and the understanding of various types of code smell commonly found in OSS projects.
UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10182 DO - 10.18517/ijaseit.10.3.10182
RefWorks
RT Journal Article ID 10182 A1 Nanthaamornphong, Aziz A1 Saeang, Tanawat A1 Tularak, Panyaprach T1 Zsmell – Code Smell Detection for Open Source Software JF International Journal on Advanced Science, Engineering and Information Technology VO 10 IS 3 YR 2020 SP 1035 OP 1041 SN 2088-5334 PB INSIGHT - Indonesian Society for Knowledge and Human Development K1 software engineering; open source software; software maintenance; code smell; software quality. ABToday, open-source software (OSS) is used in various applications. It has played a vital role in information systems of many user groups such as commercials, research, education, public health, and tourism. It is also a source of additional knowledge for collaborators because this type of software is easily accessible through websites that provide management of version control services such as GitHub. However, a recent study shows an increasing trend in the existence of code smells. In OSS, there is a growing number of code smells that cause software errors. Having a code smell in software is a serious issue since it impacts the software in terms of deployment, maintenance as well as user confidence toward the software. Finding code smells in the early stages of software development would provide for better software maintenance and reliability; thus, researchers invented the Zsmell software system that helps search for code smells in the source code saved in GitHub. Developed systems display data related to code smells in each source code version that was modified by collaborators. Thus, the developers will be able to employ the proper refactoring method, which is a change in the internal structure of software without changing the original functionality of the software. We believe that this system will enable open source collaborators to improve the quality of their OSS, especially on code smell reduction and the understanding of various types of code smell commonly found in OSS projects.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10182 DO - 10.18517/ijaseit.10.3.10182