American Journal of Software Engineering and Applications

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Metrics for Quantification of the Software Testing Tools Effectiveness

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.

DOI 10.11648/j.ajsea.20150401.12
Published in American Journal of Software Engineering and Applications (Volume 4, Issue 1, February 2015)
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), 2024. Published by Science Publishing Group

Keywords

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

References
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Author Information
  • School of Informatics, IOT, Hawassa University, Awassa, Ethiopia

  • 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

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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://download.sciencepg.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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    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.
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