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Modeling and analysis of reliability of multi-release open source software incorporating both fault detection and correction processes
Faculty of Information Engineering, Guizhou Institute of Technology, Guiyang, China .
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, Hong Kong .
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, Hong Kong .
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Industriell ekonomi. Högskolan i Gävle, Centrum för logistik och innovativ produktion.
2016 (Engelska)Ingår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 115, s. 102-110Artikel i tidskrift (Refereegranskat) Published
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Abstract [en]

Large software systems require regular upgrading that tries to correct the reported faults in previous versions and add some functions to meet new requirements. It is thus necessary to investigate changes in reliability in the face of ongoing releases. However, the current modeling frameworks mostly rely on the idealized assumption that all faults will be removed instantaneously and perfectly. In this paper, the failure processes in testing multi-release software are investigated by taking into consideration the delays in fault repair time based on a proposed time delay model. The model is validated on real test datasets from the software that has been released three times with new features. A comprehensive analysis of optimal release times based on cost-efficiency is also provided, which could help project managers to determine the best time to release the software. 

Ort, förlag, år, upplaga, sidor
2016. Vol. 115, s. 102-110
Nyckelord [en]
Fault correction process, Multiple upgrading, Software reliability, Computer software, Fault detection, Open source software, Open systems, Reliability, Reliability analysis, Software engineering, Software testing, Time delay, Comprehensive analysis, Current modeling, Fault detection and correction process, Large software systems, Model and analysis, Project managers
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:hig:diva-21360DOI: 10.1016/j.jss.2016.01.025ISI: 000373411400007Scopus ID: 2-s2.0-84960862129OAI: oai:DiVA.org:hig-21360DiVA, id: diva2:915213
Tillgänglig från: 2016-03-29 Skapad: 2016-03-29 Senast uppdaterad: 2018-12-03Bibliografiskt granskad

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Totalt: 222 träffar
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