Predicting release time based on Generalized Software Reliability Model (GSRM)

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

7 Citations (Scopus)

Abstract

Development environments have changed drastically, development periods are shorter than ever and the number of team members has increased. Especially in open source software (OSS), a large number of developers contribute to OSS. OSS has difficulties in predicting or deciding when it will be released. In order to assess recent software developments, we proposed a generalized software reliability model (GSRM) based on a stochastic process, and compared GSRM with other models. In this paper, we focus on the release dates of OSS and the growth of faults (issues).

Original languageEnglish
Title of host publicationProceedings - International Computer Software and Applications Conference
PublisherIEEE Computer Society
Pages604-605
Number of pages2
DOIs
Publication statusPublished - 2014 Sep 15
Event38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014 - Vasteras, Sweden
Duration: 2014 Jul 212014 Jul 25

Other

Other38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014
CountrySweden
CityVasteras
Period14/7/2114/7/25

Fingerprint

Software reliability
Random processes
Software engineering
Open source software

Keywords

  • Faults Prediction
  • Software Reliability Growth Model
  • Stochastic Process

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Honda, K., Washizaki, H., & Fukazawa, Y. (2014). Predicting release time based on Generalized Software Reliability Model (GSRM). In Proceedings - International Computer Software and Applications Conference (pp. 604-605). [6899270] IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2014.86

Predicting release time based on Generalized Software Reliability Model (GSRM). / Honda, Kiyoshi; Washizaki, Hironori; Fukazawa, Yoshiaki.

Proceedings - International Computer Software and Applications Conference. IEEE Computer Society, 2014. p. 604-605 6899270.

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

Honda, K, Washizaki, H & Fukazawa, Y 2014, Predicting release time based on Generalized Software Reliability Model (GSRM). in Proceedings - International Computer Software and Applications Conference., 6899270, IEEE Computer Society, pp. 604-605, 38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014, Vasteras, Sweden, 14/7/21. https://doi.org/10.1109/COMPSAC.2014.86
Honda K, Washizaki H, Fukazawa Y. Predicting release time based on Generalized Software Reliability Model (GSRM). In Proceedings - International Computer Software and Applications Conference. IEEE Computer Society. 2014. p. 604-605. 6899270 https://doi.org/10.1109/COMPSAC.2014.86
Honda, Kiyoshi ; Washizaki, Hironori ; Fukazawa, Yoshiaki. / Predicting release time based on Generalized Software Reliability Model (GSRM). Proceedings - International Computer Software and Applications Conference. IEEE Computer Society, 2014. pp. 604-605
@inproceedings{ad1de9b3e69b4c51803b1b8cb2438047,
title = "Predicting release time based on Generalized Software Reliability Model (GSRM)",
abstract = "Development environments have changed drastically, development periods are shorter than ever and the number of team members has increased. Especially in open source software (OSS), a large number of developers contribute to OSS. OSS has difficulties in predicting or deciding when it will be released. In order to assess recent software developments, we proposed a generalized software reliability model (GSRM) based on a stochastic process, and compared GSRM with other models. In this paper, we focus on the release dates of OSS and the growth of faults (issues).",
keywords = "Faults Prediction, Software Reliability Growth Model, Stochastic Process",
author = "Kiyoshi Honda and Hironori Washizaki and Yoshiaki Fukazawa",
year = "2014",
month = "9",
day = "15",
doi = "10.1109/COMPSAC.2014.86",
language = "English",
pages = "604--605",
booktitle = "Proceedings - International Computer Software and Applications Conference",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Predicting release time based on Generalized Software Reliability Model (GSRM)

AU - Honda, Kiyoshi

AU - Washizaki, Hironori

AU - Fukazawa, Yoshiaki

PY - 2014/9/15

Y1 - 2014/9/15

N2 - Development environments have changed drastically, development periods are shorter than ever and the number of team members has increased. Especially in open source software (OSS), a large number of developers contribute to OSS. OSS has difficulties in predicting or deciding when it will be released. In order to assess recent software developments, we proposed a generalized software reliability model (GSRM) based on a stochastic process, and compared GSRM with other models. In this paper, we focus on the release dates of OSS and the growth of faults (issues).

AB - Development environments have changed drastically, development periods are shorter than ever and the number of team members has increased. Especially in open source software (OSS), a large number of developers contribute to OSS. OSS has difficulties in predicting or deciding when it will be released. In order to assess recent software developments, we proposed a generalized software reliability model (GSRM) based on a stochastic process, and compared GSRM with other models. In this paper, we focus on the release dates of OSS and the growth of faults (issues).

KW - Faults Prediction

KW - Software Reliability Growth Model

KW - Stochastic Process

UR - http://www.scopus.com/inward/record.url?scp=84928631522&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928631522&partnerID=8YFLogxK

U2 - 10.1109/COMPSAC.2014.86

DO - 10.1109/COMPSAC.2014.86

M3 - Conference contribution

SP - 604

EP - 605

BT - Proceedings - International Computer Software and Applications Conference

PB - IEEE Computer Society

ER -