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Selecting software ...
Selecting software reliability growth models and improving their predictive accuracy using historical projects data
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- Rana, Rakesh (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),University of Gothenburg,Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden
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- Staron, Miroslaw, 1977 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),University of Gothenburg,Chalmers University of Gothenburg, Sweden; Ericsson, Sweden; University of Gothenburg, Sweden; Volvo Cars, Sweden; Volvo AB, Sweden,Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden
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- Berger, Christian, 1980 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),University of Gothenburg,Chalmers University of Gothenburg, Sweden; Chalmers University of Gothenburg, Sweden,Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden
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- Hansson, Jörgen, 1970 (författare)
- Högskolan i Skövde,Linköpings universitet,RTSLAB - Laboratoriet för realtidssystem,Tekniska högskolan,Chalmers University of Gothenburg, Sweden; University of Skovde, Sweden,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi,Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden
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- Nilsson, M. (författare)
- Volvo Cars,Volvo Car Corporation, Göteborg, Sweden
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- Törner, Fredrik, 1978 (författare)
- Volvo Cars,Volvo Car Corporation, Göteborg, Sweden
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- Meding, W. (författare)
- Telefonaktiebolaget L M Ericsson,Ericsson,Ericsson, Göteborg, Sweden
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- Hoglund, C. (författare)
- Saab AB,Saab,SAAB AB, Göteborg, Sweden
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(creator_code:org_t)
- Elsevier BV, 2014
- 2014
- Engelska.
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Ingår i: Journal of Systems and Software. - : Elsevier BV. - 0164-1212 .- 1873-1228. ; 98, s. 59-78
- Relaterad länk:
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http://dx.doi.org/10...
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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https://research.cha...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- During software development two important decisions organizations have to make are: how to allocate testing resources optimally and when the software is ready for release. SRGMs (software reliability growth models) provide empirical basis for evaluating and predicting reliability of software systems. When using SRGMs for the purpose of optimizing testing resource allocation, the model's ability to accurately predict the expected defect inflow profile is useful. For assessing release readiness, the asymptote accuracy is the most important attribute. Although more than hundred models for software reliability have been proposed and evaluated over time, there exists no clear guide on which models should be used for a given software development process or for a given industrial domain. Using defect inflow profiles from large software projects from Ericsson, Volvo Car Corporation and Saab, we evaluate commonly used SRGMs for their ability to provide empirical basis for making these decisions. We also demonstrate that using defect intensity growth rate from earlier projects increases the accuracy of the predictions. Our results show that Logistic and Gompertz models are the most accurate models; we further observe that classifying a given project based on its expected shape of defect inflow help to select the most appropriate model. (C) 2014 Elsevier Inc. All rights reserved.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Embedded software
- Defect inflow
- Software reliability growth models
- ERROR-DETECTION
- SYSTEMS
- Computer Science
- Software Engineering
- Computer Science
- Defect inflow
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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- Av författaren/redakt...
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Rana, Rakesh
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Staron, Miroslaw ...
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Berger, Christia ...
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Hansson, Jörgen, ...
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Nilsson, M.
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Törner, Fredrik, ...
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Meding, W.
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Hoglund, C.
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- Om ämnet
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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och Elektroteknik oc ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Data och informa ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Data och informa ...
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och Programvarutekni ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Data och informa ...
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och Datavetenskap
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Göteborgs universitet
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Chalmers tekniska högskola
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Linköpings universitet
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Högskolan i Skövde