A generalized software reliability model considering uncertainty and dynamics in development

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

6 Citations (Scopus)

Abstract

Development environments have changed drastically in recent years. The development periods are shorter than ever and the number of team has increased. These changes have led to difficulties in controlling the development activities and predicting the end of developments. In order to assess recent software developments, we propose a generalized software reliability model based on a stochastic process, and simulate developments that include uncertainties and dynamics, such as unpredictable requirements changes, shortening of the development period, and decrease in the number of members. We also compare our simulation results to those of other software reliability models. Using the values of uncertainties and dynamics obtained from our model, we can evaluate the developments in a quantitative manner.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages342-346
Number of pages5
Volume7983 LNCS
DOIs
Publication statusPublished - 2013
Event14th International Conference on Product-Focused Software Process Improvement, PROFES 2013 - Paphos
Duration: 2013 Jun 122013 Jun 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7983 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other14th International Conference on Product-Focused Software Process Improvement, PROFES 2013
CityPaphos
Period13/6/1213/6/14

Fingerprint

Software Reliability
Software reliability
Model Uncertainty
Random processes
Software engineering
Uncertainty
Software Development
Stochastic Processes
Model-based
Decrease
Evaluate
Requirements
Model

Keywords

  • Prediction of bugs
  • Software Reliability Model
  • Stochastic Process

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Honda, K., Washizaki, H., & Fukazawa, Y. (2013). A generalized software reliability model considering uncertainty and dynamics in development. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7983 LNCS, pp. 342-346). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7983 LNCS). https://doi.org/10.1007/978-3-642-39259-7_30

A generalized software reliability model considering uncertainty and dynamics in development. / Honda, Kiyoshi; Washizaki, Hironori; Fukazawa, Yoshiaki.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7983 LNCS 2013. p. 342-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7983 LNCS).

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

Honda, K, Washizaki, H & Fukazawa, Y 2013, A generalized software reliability model considering uncertainty and dynamics in development. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7983 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7983 LNCS, pp. 342-346, 14th International Conference on Product-Focused Software Process Improvement, PROFES 2013, Paphos, 13/6/12. https://doi.org/10.1007/978-3-642-39259-7_30
Honda K, Washizaki H, Fukazawa Y. A generalized software reliability model considering uncertainty and dynamics in development. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7983 LNCS. 2013. p. 342-346. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-39259-7_30
Honda, Kiyoshi ; Washizaki, Hironori ; Fukazawa, Yoshiaki. / A generalized software reliability model considering uncertainty and dynamics in development. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7983 LNCS 2013. pp. 342-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{64935f05cdc84b0285bfcd412941462a,
title = "A generalized software reliability model considering uncertainty and dynamics in development",
abstract = "Development environments have changed drastically in recent years. The development periods are shorter than ever and the number of team has increased. These changes have led to difficulties in controlling the development activities and predicting the end of developments. In order to assess recent software developments, we propose a generalized software reliability model based on a stochastic process, and simulate developments that include uncertainties and dynamics, such as unpredictable requirements changes, shortening of the development period, and decrease in the number of members. We also compare our simulation results to those of other software reliability models. Using the values of uncertainties and dynamics obtained from our model, we can evaluate the developments in a quantitative manner.",
keywords = "Prediction of bugs, Software Reliability Model, Stochastic Process",
author = "Kiyoshi Honda and Hironori Washizaki and Yoshiaki Fukazawa",
year = "2013",
doi = "10.1007/978-3-642-39259-7_30",
language = "English",
isbn = "9783642392580",
volume = "7983 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "342--346",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - A generalized software reliability model considering uncertainty and dynamics in development

AU - Honda, Kiyoshi

AU - Washizaki, Hironori

AU - Fukazawa, Yoshiaki

PY - 2013

Y1 - 2013

N2 - Development environments have changed drastically in recent years. The development periods are shorter than ever and the number of team has increased. These changes have led to difficulties in controlling the development activities and predicting the end of developments. In order to assess recent software developments, we propose a generalized software reliability model based on a stochastic process, and simulate developments that include uncertainties and dynamics, such as unpredictable requirements changes, shortening of the development period, and decrease in the number of members. We also compare our simulation results to those of other software reliability models. Using the values of uncertainties and dynamics obtained from our model, we can evaluate the developments in a quantitative manner.

AB - Development environments have changed drastically in recent years. The development periods are shorter than ever and the number of team has increased. These changes have led to difficulties in controlling the development activities and predicting the end of developments. In order to assess recent software developments, we propose a generalized software reliability model based on a stochastic process, and simulate developments that include uncertainties and dynamics, such as unpredictable requirements changes, shortening of the development period, and decrease in the number of members. We also compare our simulation results to those of other software reliability models. Using the values of uncertainties and dynamics obtained from our model, we can evaluate the developments in a quantitative manner.

KW - Prediction of bugs

KW - Software Reliability Model

KW - Stochastic Process

UR - http://www.scopus.com/inward/record.url?scp=84884944604&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884944604&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-39259-7_30

DO - 10.1007/978-3-642-39259-7_30

M3 - Conference contribution

SN - 9783642392580

VL - 7983 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 342

EP - 346

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -