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Comparing reliability levels of software releases

Authors:

Pete Rotella,

Sunita ChulaniAuthors Info & Claims

CESI '18: Proceedings of the 6th International Workshop on Conducting Empirical Studies in Industry

Pages 1 - 4

https://doi.org/10.1145/3193965.3193968

Published: 28 May 2018 Publication History

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Abstract

An intuitive method is needed to achieve buy-in from all sectors of Engineering for a way to gauge release-over-release change for a given product's sequence of releases. Also, customers need to know if there are extant releases that are more reliable than the ones they already rely on in their networks. A new Release-Over-Release (RoR) metric can both enable customers to clearly understand the reliability risk of migrating to other available releases, and also enable Engineering to understand if their software engineering efforts are actually improving release reliability.

References

[1]

P. Rotella and S. Chulani, "Predicting Release Quality," ISSRE 2014 (25th IEEE International Symposium on Software Reliability Engineering), Naples, Italy, November, 2014.

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[2]

P. Rotella and S. Pradhan, "Composite Release Values for Normalized Product-level Metrics," ISSRE 2015 (24th IEEE International Symposium on Software Reliability Engineering), Pasadena, California, USA, November, 2015.

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[3]

P. Rotella and S. Chulani, "Comparing and Goaling Releases Using Software Reliability Classes," QRS 2017 (16th IEEE International Conference on Software Quality, Reliability, and Security), Vienna, Austria, May, 2017.

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Index Terms

Comparing reliability levels of software releases
1. Software and its engineering
  1. Software creation and management
    1. Software post-development issues

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CESI '18: Proceedings of the 6th International Workshop on Conducting Empirical Studies in Industry

May 2018

45 pages

ISBN:9781450357364

DOI:10.1145/3193965

Conference Chairs:
Silverio Martínez-Fernández
Fraunhofer IESE, Germany
,
Matthias Galster
University of Canterbury, New Zealand
,
Fabio Queda Bueno da Silva
Federal University of Pernambuco, Brazil
,
Marcus Ciolkowski
QAware GmbH, Germany

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Association for Computing Machinery

New York, NY, United States

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Published: 28 May 2018

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ICSE '18: 40th International Conference on Software Engineering

May 28, 2018

Gothenburg, Sweden

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Recommendations

Comparing the reliability of software systems

Survey of methodologies for quantifying software reliability

Software security vulnerabilities: baselining and benchmarking

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