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

1 Citation (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

Fingerprint

Software reliability
Project management
Electric industry
Time series
Managers
Industry

Keywords

  • Empirical study
  • Faults prediction
  • Software Reliability Growth Model

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

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

An Industrial Case Study of Project Management Using Cross Project Software Reliability Growth Model. / Honda, Kiyoshi; Nakamura, Nobuhiro; Washizaki, Hironori; Fukazawa, Yoshiaki.

Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 404-405 7573778.

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

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., 7573778, Institute of Electrical and Electronics Engineers Inc., pp. 404-405, 2nd IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016, Vienna, Austria, 16/8/1. https://doi.org/10.1109/QRS-C.2016.63
Honda K, Nakamura N, Washizaki H, Fukazawa Y. 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. Institute of Electrical and Electronics Engineers Inc. 2016. p. 404-405. 7573778 https://doi.org/10.1109/QRS-C.2016.63
Honda, Kiyoshi ; Nakamura, Nobuhiro ; Washizaki, Hironori ; Fukazawa, Yoshiaki. / An Industrial Case Study of Project Management Using Cross Project Software Reliability Growth Model. Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 404-405
@inproceedings{511a85b07e5646aa9cd4845b21ac0cc1,
title = "An Industrial Case Study of Project Management Using Cross Project Software Reliability Growth Model",
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.",
keywords = "Empirical study, Faults prediction, Software Reliability Growth Model",
author = "Kiyoshi Honda and Nobuhiro Nakamura and Hironori Washizaki and Yoshiaki Fukazawa",
year = "2016",
month = "9",
day = "21",
doi = "10.1109/QRS-C.2016.63",
language = "English",
pages = "404--405",
booktitle = "Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - GEN

T1 - An Industrial Case Study of Project Management Using Cross Project Software Reliability Growth Model

AU - Honda, Kiyoshi

AU - Nakamura, Nobuhiro

AU - Washizaki, Hironori

AU - Fukazawa, Yoshiaki

PY - 2016/9/21

Y1 - 2016/9/21

N2 - 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.

AB - 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.

KW - Empirical study

KW - Faults prediction

KW - Software Reliability Growth Model

UR - http://www.scopus.com/inward/record.url?scp=84991780760&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84991780760&partnerID=8YFLogxK

U2 - 10.1109/QRS-C.2016.63

DO - 10.1109/QRS-C.2016.63

M3 - Conference contribution

SP - 404

EP - 405

BT - Proceedings - 2016 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -