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  1. IEEE International Workshop on Software Aging and Rejuvenation (WoSAR).
  2. 2010 IEEE Second International Workshop on Software Aging and Rejuvenation
  3. Is software aging related to software metrics?
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2011 IEEE Third International Workshop on Software Aging and Rejuvenation
2010 IEEE Second International Workshop on Software Aging and Rejuvenation
Title page
Copyright page
Evaluation of software performance affected by aging
Measuring software aging effects through OS kernel instrumentation
Prediction of performance anomalies in web-applications based-on software aging scenarios
Is software aging related to software metrics?
The mechanics of memory-related software aging
Modeling and analysis of software rejuvenation in a server virtualized system
Performance-aware software rejuvenation strategies in a queueing system
A simulation study on the effectiveness of restart and rejuvenation to mitigate the effects of software ageing
Resilient hypermedia presentations
Software rejuvenation on a PKI

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Is software aging related to software metrics?

Content Provider IEEE Xplore Digital Library
Author Cotroneo, D. Natella, R. Pietrantuono, R.
Copyright Year 2010
Description Author affiliation: Dipartimento di Informatica e Sistemistica, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125, Naples, Italy (Cotroneo, D.; Natella, R.; Pietrantuono, R.)
Abstract This work presents an empirical analysis aiming at investigating what kind of relationship exists between software aging and several static features of the software. While past studies on software aging focused on predicting the aging effects by monitoring and analytically modeling resource consumption at runtime, this study intends to explore if the static features of the software, as derived by its source code, presents potential relationships with software aging. We adopt a set of common software metrics concerning program structure, such as size and cyclomatic complexity, along with some features specifically developed for this study; metrics were then computed from ten complex software applications affected by aging. A statistical analysis to infer their relationship with software aging was carried out. Results encourage further investigations in this direction, since they show that software aging effects are related to the static features of software.
Starting Page 1
Ending Page 6
File Size 121533
Page Count 6
File Format PDF
ISBN 9781612843445
e-ISBN 9781612843469
DOI 10.1109/WOSAR.2010.5722096
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2010-11-02
Publisher Place USA
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Correlation Software metrics Computer bugs Software Complexity Metrics Aging-Related Bugs Aging Software Complexity theory Software Aging
Content Type Text
Resource Type Article
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