Customer-Perceived Software Reliability Predictions: Beyond Defect Prediction Models

Kazu Okumoto ()
Additional contact information
Kazu Okumoto: Alcatel-Lucent Technologies

A chapter in Stochastic Reliability and Maintenance Modeling, 2013, pp 219-249 from Springer

Abstract: Abstract In this chapter, we propose a procedure for implementing customer-perceived software reliability predictions, which address customer’s concern about service-impacting outages and system stability. Data requirements are clearly defined in terms of test defects and field outages to ensure a good data collection process. We incorporate the effect of operational profile to demonstrate the changes in defect find rate from internal tests through precutover test and in-service operation. A software reliability growth model is a necessary key step, but not sufficient for addressing customer-perceived reliability measures. The proposed approach is a result of in-depth investigations of test defect data and field outage data over many years. It has been successfully demonstrated with actual field data and applied to a variety of software development projects.

Keywords: Software Reliability; Operational Profile; Defect Prediction; Software Defect; Defect Rate (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-4471-4971-2_11

Ordering information: This item can be ordered from
http://www.springer.com/9781447149712

DOI: 10.1007/978-1-4471-4971-2_11

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().