research-article

A Reliability Model of integrated modular avionics (IMA) Software Considering with environment

Authors:

ICMSS '17: Proceedings of the 2017 International Conference on Management Engineering, Software Engineering and Service Sciences

Pages 49 - 53

https://doi.org/10.1145/3034950.3034983

Published: 14 January 2017 Publication History

Get Access

Abstract

Considering of the actual runtime environment, this paper presents a software reliability model based on Itô stochastic differential equation (SDE). We first summarize runtime environmental factors and build a reliability model considering with some of these factors. Then, based on the simulation data of IMA platform runtime environment, we build several measures to evaluate software reliability and analyze sensitivity of parameters in the model. This paper is a preliminary exploration of the software reliability in actual Runtime Environment. Although there are some deficiencies, it lays a foundation for further research.

References

[1]

Musa, J. D. 1998. Software Reliability Engineering {M}. McGraw-Hill.

Digital Library

Google Scholar

[2]

Pham, Huang. 2000. Software reliability {M}.Singapore: New York Springer.

Digital Library

Google Scholar

[3]

Zhang X. M., Daniel, R. J, and Pham, H. 2002. Calibrating software reliability models when the test environment does not match the user environment. Applied Stochastic Models in Business and Industry.

Google Scholar

[4]

Pham, Hoang. 2006. System Software Reliability{M}: 1--440. Berlin: Springer.

Digital Library

Google Scholar

[5]

WANG Jing., Xiu, J., and Hai, Sheng. 2013. Recent advances in solar storm studies in China. v.5607:1091--1117. Science China (Earth Sciences).

Google Scholar

[6]

Federal Aviation Administration, 1988. System Design and Analysis.

Google Scholar

[7]

Yoshinobu, Tamura., Shigeru, Yamada. 2007. Software Reliability Growth Model Based on Stochastic Differential Equations for Open Source Software. In the proceedings of the International Conference on Mechatronics.2007.

Google Scholar

[8]

Gokhale, S., Wong, W. E., and Trivedi K., ea al. 1998. An Analytical Approach to Architecture based Software Reliability Prediction. In the Proceedings of the Third International Computer Performance and Dependability Symposium (IPDS'98).

Google Scholar

[9]

Lee, C. H., Kim, Y. T., and Park, D. H. 2004. S-shaped Software Reliability Growth Models Derived from Stochastic Differential Equations. IIE Transactions, 36, (20040), 1193--1199.

Crossref

Google Scholar

[10]

Nan Zhang, Gang Cui, Hongwei Liu. 2010. A Stochastic Software Reliability Growth Model with Learning and Change-point. In the proceedings of the Conference on Dependable Computing. 2010.

Google Scholar

[11]

Chih-Chiang Fang, Chun-Wu Yeh. 2011. Confidence Interval Estimation of Software Reliability Growth Models Derived from Stochastic Differential Equations. IEEE IEEM, 2011.

Google Scholar

[12]

Lehmann, E. L. 1998. Elements of Large-Sample Theory{M}.Elements of large sample theory. Springer.

Google Scholar

[13]

Sun, H. Y., Su, P. F., and He, J. 2012. Architecture-based Avionics Application Software Reliability Model with Consideration of IMA Environment. In Oxide Materials for Electronic Engineering, (2012), 722--726.

Google Scholar

Cited By

View all

Singh JYadav ASingh OAnand A(2024)Environmental factor and change point based modeling for studying reliability of a software systemInternational Journal of System Assurance Engineering and Management10.1007/s13198-024-02425-5Online publication date: 25-Jul-2024
https://doi.org/10.1007/s13198-024-02425-5
Zhijun WHaolin MMeng Y(2021)Reliability Assessment Model of IMA Partition Software Using Stochastic Petri NetsIEEE Access10.1109/ACCESS.2021.30567479(25219-25232)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3056747
Wen-yu ZFeng-xia YHai-yan FQi YYuan YJia L(2018)Comprehensive Evaluation of Haze Governance based on Double Hierarchy Hesitant Fuzzy Language and Entropy Method Integrated WeightProceedings of the 2018 2nd International Conference on Management Engineering, Software Engineering and Service Sciences10.1145/3180374.3181365(279-285)Online publication date: 13-Jan-2018
https://dl.acm.org/doi/10.1145/3180374.3181365

Recommendations

A User-Oriented Software Reliability Model

A user-oriented reliability model has been developed to measure the reliability of service that a system provides to a user community. It has been observed that in many systems, especially software systems, reliable service can be provided to a user ...
Gompertz software reliability model: Estimation algorithm and empirical validation

Gompertz curve has been used to estimate the number of residual faults in testing phases of software development, especially by Japanese software development companies. Since the Gompertz curve is a deterministic function, the curve cannot be applied to ...
An Imperfect Software Debugging Model Based on Stochastic Differential Equation
COUFLESS '15: Proceedings of the 2015 IEEE/ACM 1st International Workshop on Complex faUlts and Failures in LargE Software Systems

In the software testing process, many factors can affected the failure distribution, such as the testing strategy, running environment and resource allocation, etc. Once these factors are transformed during testing phase, they could result in the ...

Comments

Information & Contributors

Information

Published In

ICMSS '17: Proceedings of the 2017 International Conference on Management Engineering, Software Engineering and Service Sciences

January 2017

339 pages

ISBN:9781450348348

DOI:10.1145/3034950

Editor:
Yulin Wang

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Wuhan Univ.: Wuhan University, China

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 January 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICMSS '17

ICMSS '17: 2017 International Conference on Management Engineering, Software Engineering and Service Sciences

January 14 - 16, 2017

Wuhan, China

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
65
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)1

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Singh JYadav ASingh OAnand A(2024)Environmental factor and change point based modeling for studying reliability of a software systemInternational Journal of System Assurance Engineering and Management10.1007/s13198-024-02425-5Online publication date: 25-Jul-2024
https://doi.org/10.1007/s13198-024-02425-5
Zhijun WHaolin MMeng Y(2021)Reliability Assessment Model of IMA Partition Software Using Stochastic Petri NetsIEEE Access10.1109/ACCESS.2021.30567479(25219-25232)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3056747
Wen-yu ZFeng-xia YHai-yan FQi YYuan YJia L(2018)Comprehensive Evaluation of Haze Governance based on Double Hierarchy Hesitant Fuzzy Language and Entropy Method Integrated WeightProceedings of the 2018 2nd International Conference on Management Engineering, Software Engineering and Service Sciences10.1145/3180374.3181365(279-285)Online publication date: 13-Jan-2018
https://dl.acm.org/doi/10.1145/3180374.3181365

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Recommendations

A User-Oriented Software Reliability Model

Gompertz software reliability model: Estimation algorithm and empirical validation

An Imperfect Software Debugging Model Based on Stochastic Differential Equation

Comments

Information

Published In

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations