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DOI: 10.14569/IJACSA.2018.090857
PDF

Defects Prediction and Prevention Approaches for Quality Software Development

Author 1: Mashooque Ahmed Memon
Author 2: Mujeeb-Ur-Rhman Magsi Baloch
Author 3: Muniba Memon
Author 4: Syed Hyder Abbas Musavi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 8, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The demand for distributed and complex business applications in the enterprise requires error-free and high-quality application systems. Unfortunately, most of the developed software contains certain defects which cause failure of a system. Such failures are unacceptable for the development in the critical or sensitive applications. This makes the development of high quality and defect free software extremely important in software development. It is important to better understand and compute the association among software defects and its failures for the effective prediction and elimination of these defects to decline the failure and improve software quality. This paper presents a review of software defects prediction and its prevention approaches for the quality software development. It also focuses a review on the potential and constraints of those mechanisms in quality product development and maintenance.

Keywords: Software; defects; predictions; preventions; software development

Mashooque Ahmed Memon, Mujeeb-Ur-Rhman Magsi Baloch, Muniba Memon and Syed Hyder Abbas Musavi, “Defects Prediction and Prevention Approaches for Quality Software Development” International Journal of Advanced Computer Science and Applications(IJACSA), 9(8), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090857

@article{Memon2018,
title = {Defects Prediction and Prevention Approaches for Quality Software Development},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090857},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090857},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Mashooque Ahmed Memon and Mujeeb-Ur-Rhman Magsi Baloch and Muniba Memon and Syed Hyder Abbas Musavi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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