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

Kiyoshi Honda; Hironori Washizaki; Yoshiaki Fukazawa

doi:10.1109/COMPSAC.2014.86

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

Kiyoshi Honda^*, Hironori Washizaki, Yoshiaki Fukazawa

^*Corresponding author for this work

Global Education Center

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - International Computer Software and Applications Conference
Publisher	IEEE Computer Society
Pages	604-605
Number of pages	2
DOIs	https://doi.org/10.1109/COMPSAC.2014.86
Publication status	Published - 2014 Sept 15
Event	38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014 - Vasteras, Sweden Duration: 2014 Jul 21 → 2014 Jul 25

Other

Other	38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014
Country/Territory	Sweden
City	Vasteras
Period	14/7/21 → 14/7/25

Keywords

Faults Prediction
Software Reliability Growth Model
Stochastic Process

ASJC Scopus subject areas

Computer Science Applications
Software

Access to Document

10.1109/COMPSAC.2014.86

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., 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

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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).

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KW - Stochastic Process

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M3 - Conference contribution

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BT - Proceedings - International Computer Software and Applications Conference

PB - IEEE Computer Society

T2 - 38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014

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

Abstract

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Keywords

ASJC Scopus subject areas

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