An Industrial Case Study of Project Management Using Cross Project Software Reliability Growth Model

Kiyoshi Honda, Nobuhiro Nakamura, Hironori Washizaki, Yoshiaki Fukazawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We propose a method to compare software products developed by the same company in the same domain. Our method, which measures the time series of the number of detected faults, employs software reliability growth models (SRGMs). SRGMs describe the relations between faults and the time necessary to detect them. Herein we propose a method to compare SRGMs across products. To provide managers and developers insight on advances of its products, our method is applied to the datasets for nine projects developed by Sumitomo Electric Industries, Ltd.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages404-405
Number of pages2
ISBN (Electronic)9781509037131
DOIs
Publication statusPublished - 2016 Sep 21
Event2nd IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016 - Vienna, Austria
Duration: 2016 Aug 12016 Aug 3

Other

Other2nd IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016
CountryAustria
CityVienna
Period16/8/116/8/3

Keywords

  • Empirical study
  • Faults prediction
  • Software Reliability Growth Model

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Honda, K., Nakamura, N., Washizaki, H., & Fukazawa, Y. (2016). An Industrial Case Study of Project Management Using Cross Project Software Reliability Growth Model. In Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016 (pp. 404-405). [7573778] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QRS-C.2016.63