Identification and Evaluation of Factors Influencing Software Quality using Pythagorean Fuzzy DEMATEL Approach

##plugins.themes.academic_pro.article.sidebar##

Published Nov 26, 2022
https://doi.org/10.47164/ijngc.v13i5.938
Download
Requires Subscription PDF
Statistic

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...
Volume 13, Special Issue 5, November 2022

##plugins.themes.academic_pro.article.main##

Mangesh Joshi
Shri Ramdeobaba College of Engineering and Management, Nagpur
Rahul Mankar
Symbiosis Law School, Nagpur.
Himanshu Shukla
Shri Ramdeobaba College of Engineering and Management, Nagpur

Abstract

One of the recognized techniques for making decisions in ambiguous environment is the fuzzy Decision Making Trial
and Evaluation Laboratory [DEMATEL] method. The fuzzy set [FS] and intuitionistic fuzzy set [IFS] concepts
are generalized in the Pythagorean fuzzy set [PFS]. This study focuses on the software quality evaluation problem
in software management using the DEMATEL approach with PFS. It is suitable for addressing ambiguous human
judgments and unclear and inadequate information when choosing the criteria for a software quality review. The
method discovers cause-and-effect system components while taking into account the independence of the criteria
and provides mutual links among the criteria. Based on information gathered from a group of professionals, the
implemented method is illustrated. Originality: Software quality evaluation is handled first time with Pythagorean
fuzzy set-based DEMATEL approach.

##plugins.themes.academic_pro.article.details##

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biographies

Mangesh Joshi, Shri Ramdeobaba College of Engineering and Management, Nagpur

Prof. Mangesh Joshi is working as Assistant Professor in Shri Ramdeobaba College of
Engineering and Management, Nagpur. He has completed B.E. in Industrial Engineering.
He pursued his master of technology from Visvesvaraya National Institute of Technology,
Nagpur. He is currently pursuing his Ph.D. from Rashtrasant Tukdoji Maharaj, Nagpur
University. He has total 11 years of teaching experience along with 3 years of research
experience. He has more than 10 research papers in SCI/SCIE/ESCI/SCOPUS indexed
journals. He served as reviewers in many SCI/SCOPUS indexed journals of repute.He
has completed consultancy work of more than 30 Lakhs till date. He is a life member of
Indian Institution of Industrial Engineering, India and Institute of Engineers, India.

Rahul Mankar, Symbiosis Law School, Nagpur.

Mr. Rahul Dashrath Mankar is currently working as Information officer at Symbiosis
Law School, Nagpur. He has completed Bachelors of Engineering (B.E.) and Master of
Technology (M.Tech) in Industrial Engineering. from Ramdeobaba college of Engineering
and Management, Nagpur. He has 12 years of experience in Mechanical Engineering Dept
as Asst. Prof. and 3 years of experience as an Information officer.He has also published
various research paper in the field of vibration, manufacturing and management in reputed
journals.He is a life member of Indian Institute of Industrial Engineering (IIIE), India.

Himanshu Shukla, Shri Ramdeobaba College of Engineering and Management, Nagpur

Prof. Himanshu Shukla is working as Assistant Professor in Shri Ramdeobaba College
of Engineering and Management, Nagpur. He has completed B.E. in Mechanical
Engineering. He pursued his master of technology in Industrial Engineering. He is currently
pursuing his Ph.D. from Rashtrasant Tukdoji Maharaj, Nagpur University. He
has total 9 years of teaching experience along with 3 years of research experience. He
has many research papers in international journals of repute. He served as reviewers in
many SCI/SCOPUS indexed journals of repute.He has completed consultancy work of
more than 30 Lakhs till date. He is a life member of Indian Institution of Industrial
Engineering, India and Institute of Engineers, India.

How to Cite
Joshi, M., Mankar, R., & Shukla, H. (2022). Identification and Evaluation of Factors Influencing Software Quality using Pythagorean Fuzzy DEMATEL Approach. International Journal of Next-Generation Computing, 13(5). https://doi.org/10.47164/ijngc.v13i5.938
Crossref
Scopus
Google Scholar
Europe PMC

References

  1. Cavano, J. and McCall, J. A. 1978. A framework for the measurement of software quality. SIGSOFT Softw. Eng. Notes 3, 5, 133–139. DOI: https://doi.org/10.1145/953579.811113
  2. Gabus, A. and Fontela, E. 1972. World problems, an invitation to further thought within the framework of dematel. Switzerland, Geneva: Battelle Geneva Research Centre.
  3. Galin, D. 2018. Software quality factors (attributes). In Software Quality: Concepts and Practice. John Wiley & Sons, Inc., Hoboken, NJ, USA, 23–44. DOI: https://doi.org/10.1002/9781119134527.ch2
  4. Govindan, K., Khodaverdi, R., and Vafadarnikjoo, A. 2015. Intuitionistic fuzzy based dematel method for developing green practices and performances in a green supply chain. Expert Systems with Applications 42, 20, 7207–7220. DOI: https://doi.org/10.1016/j.eswa.2015.04.030
  5. Govindan, K., Rajendran, S., Sarkis, J., and Murugesan, P. 2015. Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner Production 98, 66–83. DOI: https://doi.org/10.1016/j.jclepro.2013.06.046
  6. Grzegrorzewski, P. 2003. The hamming distance between intuitionistic fuzzy sets. In Proceedings of the 10th ifsa world congress, Istanbul, Turkey, 35–38.
  7. Gupta, A., & Tripathi, V. (2015). TOWARDS AUTOMATED REGRESSION ANALYSIS AND MANAGEMENT THROUGHOUT SOFTWARE LIFE-CYCLE. International Journal of Next-Generation Computing, 6(3), 206–216. https://doi.org/10.47164/ijngc.v6i3.400 DOI: https://doi.org/10.47164/ijngc.v6i3.400
  8. Kassie, N. and Singh, J. 2020. A study on software quality factors and metrics to enhance software quality assurance. Int. J. Productivity and Quality Management 29, 1, 24–44. DOI: https://doi.org/10.1504/IJPQM.2020.104547
  9. Khaddaj, S. and Horgan, G. 2004. The evaluation of software quality factors in very large information systems. Electronic Journal of Information Systems Evaluation 7, 1, 43–48.
  10. Kitchenham, B. and Pfleeger, S. L. 1996. Software quality: the elusive target [special issues section]. IEEE Softw. 13, 1, 12–21. DOI: https://doi.org/10.1109/52.476281
  11. P. Miguel, J., Mauricio, D., and Rodr´ıguez, G. 2014. A review of software quality models for the evaluation of software products. Int. j. softw. eng. appl. 5, 6 (Nov.), 31–53. DOI: https://doi.org/10.5121/ijsea.2014.5603
  12. Sharma, A. K. 2012. An analysis of optimum software quality factors. IOSR Journal of Engineering 2, 4, 663–669 DOI: https://doi.org/10.9790/3021-0204663669