Metrics for Quantification of the Software Testing Tools Effectiveness

Pawan Singh; Mulualem Wordofa Regassa

doi:doi:10.11648/j.ajsea.20150401.12

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Metrics for Quantification of the Software Testing Tools Effectiveness

Pawan Singh, Mulualem Wordofa Regassa

Published in American Journal of Software Engineering and Applications (Volume 4, Issue 1)

Received: 12 March 2015 Accepted: 20 March 2015 Published: 15 April 2015

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Abstract

An automated testing tool helps the testers to quantify the quality of software by testing the software automatically. To quantify the quality of software there is always a requirement of good testing tools, which satisfy the testing requirement of the project. Although there is a wide range of testing tools available in the market and they vary in approach, quality, usability and other characteristics. Selecting the appropriate testing tool for software there is a requirement of a methodology to prioritize them on the basis of some characteristics. We propose a set of metrics for measuring the characteristics of the automated testing tools for examination and selection of automated testing tools. A new extended model which is proposed provides the metrics to calculate the effectiveness of functional testing tools on the basis of operability. The industry will be benefited as they can use these metrics to evaluate functional tools and they can further make selection of tool for their software required to be tested and hence reduce the testing effort, saving time and gaining maximum monetary benefit.

Published in	American Journal of Software Engineering and Applications (Volume 4, Issue 1)
DOI	10.11648/j.ajsea.20150401.12
Page(s)	15-22
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Software Testing, Software Metrics, Automated Testing Tools, Tool Evaluation

References

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Pawan Singh, Mulualem Wordofa Regassa. (2015). Metrics for Quantification of the Software Testing Tools Effectiveness. American Journal of Software Engineering and Applications, 4(1), 15-22. https://doi.org/10.11648/j.ajsea.20150401.12

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ACS Style

Pawan Singh; Mulualem Wordofa Regassa. Metrics for Quantification of the Software Testing Tools Effectiveness. Am. J. Softw. Eng. Appl. 2015, 4(1), 15-22. doi: 10.11648/j.ajsea.20150401.12

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AMA Style

Pawan Singh, Mulualem Wordofa Regassa. Metrics for Quantification of the Software Testing Tools Effectiveness. Am J Softw Eng Appl. 2015;4(1):15-22. doi: 10.11648/j.ajsea.20150401.12

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@article{10.11648/j.ajsea.20150401.12,
  author = {Pawan Singh and Mulualem Wordofa Regassa},
  title = {Metrics for Quantification of the Software Testing Tools Effectiveness},
  journal = {American Journal of Software Engineering and Applications},
  volume = {4},
  number = {1},
  pages = {15-22},
  doi = {10.11648/j.ajsea.20150401.12},
  url = {https://doi.org/10.11648/j.ajsea.20150401.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20150401.12},
  abstract = {An automated testing tool helps the testers to quantify the quality of software by testing the software automatically. To quantify the quality of software there is always a requirement of good testing tools, which satisfy the testing requirement of the project. Although there is a wide range of testing tools available in the market and they vary in approach, quality, usability and other characteristics. Selecting the appropriate testing tool for software there is a requirement of a methodology to prioritize them on the basis of some characteristics. We propose a set of metrics for measuring the characteristics of the automated testing tools for examination and selection of automated testing tools. A new extended model which is proposed provides the metrics to calculate the effectiveness of functional testing tools on the basis of operability. The industry will be benefited as they can use these metrics to evaluate functional tools and they can further make selection of tool for their software required to be tested and hence reduce the testing effort, saving time and gaining maximum monetary benefit.},
 year = {2015}
}

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TY  - JOUR
T1  - Metrics for Quantification of the Software Testing Tools Effectiveness
AU  - Pawan Singh
AU  - Mulualem Wordofa Regassa
Y1  - 2015/04/15
PY  - 2015
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DO  - 10.11648/j.ajsea.20150401.12
T2  - American Journal of Software Engineering and Applications
JF  - American Journal of Software Engineering and Applications
JO  - American Journal of Software Engineering and Applications
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PB  - Science Publishing Group
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AB  - An automated testing tool helps the testers to quantify the quality of software by testing the software automatically. To quantify the quality of software there is always a requirement of good testing tools, which satisfy the testing requirement of the project. Although there is a wide range of testing tools available in the market and they vary in approach, quality, usability and other characteristics. Selecting the appropriate testing tool for software there is a requirement of a methodology to prioritize them on the basis of some characteristics. We propose a set of metrics for measuring the characteristics of the automated testing tools for examination and selection of automated testing tools. A new extended model which is proposed provides the metrics to calculate the effectiveness of functional testing tools on the basis of operability. The industry will be benefited as they can use these metrics to evaluate functional tools and they can further make selection of tool for their software required to be tested and hence reduce the testing effort, saving time and gaining maximum monetary benefit.
VL  - 4
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Author Information

Pawan Singh

School of Informatics, IOT, Hawassa University, Awassa, Ethiopia
Mulualem Wordofa Regassa

School of Informatics, IOT, Hawassa University, Awassa, Ethiopia

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APA Style

Pawan Singh, Mulualem Wordofa Regassa. (2015). Metrics for Quantification of the Software Testing Tools Effectiveness. American Journal of Software Engineering and Applications, 4(1), 15-22. https://doi.org/10.11648/j.ajsea.20150401.12

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ACS Style

Pawan Singh; Mulualem Wordofa Regassa. Metrics for Quantification of the Software Testing Tools Effectiveness. Am. J. Softw. Eng. Appl. 2015, 4(1), 15-22. doi: 10.11648/j.ajsea.20150401.12

Copy | Download

AMA Style

Pawan Singh, Mulualem Wordofa Regassa. Metrics for Quantification of the Software Testing Tools Effectiveness. Am J Softw Eng Appl. 2015;4(1):15-22. doi: 10.11648/j.ajsea.20150401.12

Copy | Download

@article{10.11648/j.ajsea.20150401.12,
  author = {Pawan Singh and Mulualem Wordofa Regassa},
  title = {Metrics for Quantification of the Software Testing Tools Effectiveness},
  journal = {American Journal of Software Engineering and Applications},
  volume = {4},
  number = {1},
  pages = {15-22},
  doi = {10.11648/j.ajsea.20150401.12},
  url = {https://doi.org/10.11648/j.ajsea.20150401.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20150401.12},
  abstract = {An automated testing tool helps the testers to quantify the quality of software by testing the software automatically. To quantify the quality of software there is always a requirement of good testing tools, which satisfy the testing requirement of the project. Although there is a wide range of testing tools available in the market and they vary in approach, quality, usability and other characteristics. Selecting the appropriate testing tool for software there is a requirement of a methodology to prioritize them on the basis of some characteristics. We propose a set of metrics for measuring the characteristics of the automated testing tools for examination and selection of automated testing tools. A new extended model which is proposed provides the metrics to calculate the effectiveness of functional testing tools on the basis of operability. The industry will be benefited as they can use these metrics to evaluate functional tools and they can further make selection of tool for their software required to be tested and hence reduce the testing effort, saving time and gaining maximum monetary benefit.},
 year = {2015}
}

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TY  - JOUR
T1  - Metrics for Quantification of the Software Testing Tools Effectiveness
AU  - Pawan Singh
AU  - Mulualem Wordofa Regassa
Y1  - 2015/04/15
PY  - 2015
N1  - https://doi.org/10.11648/j.ajsea.20150401.12
DO  - 10.11648/j.ajsea.20150401.12
T2  - American Journal of Software Engineering and Applications
JF  - American Journal of Software Engineering and Applications
JO  - American Journal of Software Engineering and Applications
SP  - 15
EP  - 22
PB  - Science Publishing Group
SN  - 2327-249X
UR  - https://doi.org/10.11648/j.ajsea.20150401.12
AB  - An automated testing tool helps the testers to quantify the quality of software by testing the software automatically. To quantify the quality of software there is always a requirement of good testing tools, which satisfy the testing requirement of the project. Although there is a wide range of testing tools available in the market and they vary in approach, quality, usability and other characteristics. Selecting the appropriate testing tool for software there is a requirement of a methodology to prioritize them on the basis of some characteristics. We propose a set of metrics for measuring the characteristics of the automated testing tools for examination and selection of automated testing tools. A new extended model which is proposed provides the metrics to calculate the effectiveness of functional testing tools on the basis of operability. The industry will be benefited as they can use these metrics to evaluate functional tools and they can further make selection of tool for their software required to be tested and hence reduce the testing effort, saving time and gaining maximum monetary benefit.
VL  - 4
IS  - 1
ER  -

Copy | Download