Predicting Release Time for Open Source Software Based on the Generalized Software Reliability Model

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

7 Citations (Scopus)

Abstract

There is a significant challenge that how to predict the possible release date of the target software having enough reliability in agile development where incremental development and small software releases are key characteristics. Existing approaches targeting agile development usually use release backlogs for predicting and setting delivery windows, however these do not consider the reliability of software for release date prediction so that there is a possibility that software at the predicted release date have poor reliability. Previously we proposed a generalized software reliability model (GSRM) based on a stochastic process and compared it with other models to evaluate recent software developments. However, we, did not directly evaluate the accuracy of the predicted release time by model. In this paper, towards prediction of release dates in agile development, we focus on the release dates of open source software (OSS) developments and the number of detected issues (faults) since OSS developments comply well with the definition of the agile development in terms of incremental process and frequent releases We define the accuracy of the predicted release time using the given development terms and the number of issues. Additionally, we propose a method to evaluate the accuracy of the predicted release time. In the best case, GSRM shows only 0.572% Error Rate, which corresponds to a predicted release date of two days prior to the actual release date. We believe that our method should be applicable to agile developments too.

Original languageEnglish
Title of host publicationProceedings - 2015 Agile Conference, Agile 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-81
Number of pages6
ISBN (Print)9781467371537
DOIs
Publication statusPublished - 2015 Sep 29
EventAgile Conference, Agile 2015 - National Harbor, United States
Duration: 2015 Aug 32015 Aug 8

Other

OtherAgile Conference, Agile 2015
CountryUnited States
CityNational Harbor
Period15/8/315/8/8

Fingerprint

Software reliability
Software engineering
Random processes
Open source software
Release dates
Software

Keywords

  • Agile Development
  • Open Source Software
  • Release Date
  • Release Time Prediction
  • Software Reliability Model

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Software

Cite this

Washizaki, H., Honda, K., & Fukazawa, Y. (2015). Predicting Release Time for Open Source Software Based on the Generalized Software Reliability Model. In Proceedings - 2015 Agile Conference, Agile 2015 (pp. 76-81). [7284601] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Agile.2015.19

Predicting Release Time for Open Source Software Based on the Generalized Software Reliability Model. / Washizaki, Hironori; Honda, Kiyoshi; Fukazawa, Yoshiaki.

Proceedings - 2015 Agile Conference, Agile 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 76-81 7284601.

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

Washizaki, H, Honda, K & Fukazawa, Y 2015, Predicting Release Time for Open Source Software Based on the Generalized Software Reliability Model. in Proceedings - 2015 Agile Conference, Agile 2015., 7284601, Institute of Electrical and Electronics Engineers Inc., pp. 76-81, Agile Conference, Agile 2015, National Harbor, United States, 15/8/3. https://doi.org/10.1109/Agile.2015.19
Washizaki H, Honda K, Fukazawa Y. Predicting Release Time for Open Source Software Based on the Generalized Software Reliability Model. In Proceedings - 2015 Agile Conference, Agile 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 76-81. 7284601 https://doi.org/10.1109/Agile.2015.19
Washizaki, Hironori ; Honda, Kiyoshi ; Fukazawa, Yoshiaki. / Predicting Release Time for Open Source Software Based on the Generalized Software Reliability Model. Proceedings - 2015 Agile Conference, Agile 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 76-81
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