#softwareaging search results

WoSAR is a unique forum to discuss the software aging and rejuvenation impacts on systems from different domains of applicability 💁Check the CFP: wosar2021.com #ISSRE2021 #WOSAR2021 #softwareaging

ISSREConf's tweet image. WoSAR is a unique forum to discuss the software aging and rejuvenation impacts on systems from different domains of applicability 💁Check the CFP: wosar2021.com #ISSRE2021 #WOSAR2021 #softwareaging

Developing an ML model to proactively predict SW aging-related bugs: “An #EmpiricalFramework for #SoftwareAging-Related Bug Prediction using Weighted #ExtremeLearning Machine“ by L. Kumar, V. Singh, LB Murthy, S. Misra, A. Krishna. ACSIS Vol. 37 p.181–188; tinyurl.com/mr39xzpa

annals_csis's tweet image. Developing an ML model to proactively predict SW aging-related bugs: “An #EmpiricalFramework for #SoftwareAging-Related Bug Prediction using Weighted #ExtremeLearning Machine“ by L. Kumar, V. Singh, LB Murthy, S. Misra, A. Krishna. ACSIS Vol. 37 p.181–188; tinyurl.com/mr39xzpa

David Parnas opened first day of #vdb17 yesterday talking about #softwareaging instagram.com/p/BadiRO5hVP_/


next lecture today about #softwareAging

#robots with #human level? - distinguished lecturer series starts in 2 days @unijena fmi.uni-jena.de/DLS-path-12071…

fusionUniJena's tweet image. #robots with #human level? - distinguished lecturer series starts in 2 days @unijena fmi.uni-jena.de/DLS-path-12071…


Is your software slowing down over time? 🚨 Software aging is a real issue! Learn how to keep your systems running smoothly and extend their lifespan. #SoftwareAging #TechTips #DigitalTransformation #ITconsulting#solutionarchitect#architect


Developing an ML model to proactively predict SW aging-related bugs: “An #EmpiricalFramework for #SoftwareAging-Related Bug Prediction using Weighted #ExtremeLearning Machine“ by L. Kumar, V. Singh, LB Murthy, S. Misra, A. Krishna. ACSIS Vol. 37 p.181–188; tinyurl.com/mr39xzpa

annals_csis's tweet image. Developing an ML model to proactively predict SW aging-related bugs: “An #EmpiricalFramework for #SoftwareAging-Related Bug Prediction using Weighted #ExtremeLearning Machine“ by L. Kumar, V. Singh, LB Murthy, S. Misra, A. Krishna. ACSIS Vol. 37 p.181–188; tinyurl.com/mr39xzpa

Is your software slowing down over time? 🚨 Software aging is a real issue! Learn how to keep your systems running smoothly and extend their lifespan. #SoftwareAging #TechTips #DigitalTransformation #ITconsulting#solutionarchitect#architect


WoSAR is a unique forum to discuss the software aging and rejuvenation impacts on systems from different domains of applicability 💁Check the CFP: wosar2021.com #ISSRE2021 #WOSAR2021 #softwareaging

ISSREConf's tweet image. WoSAR is a unique forum to discuss the software aging and rejuvenation impacts on systems from different domains of applicability 💁Check the CFP: wosar2021.com #ISSRE2021 #WOSAR2021 #softwareaging

David Parnas opened first day of #vdb17 yesterday talking about #softwareaging instagram.com/p/BadiRO5hVP_/


next lecture today about #softwareAging

#robots with #human level? - distinguished lecturer series starts in 2 days @unijena fmi.uni-jena.de/DLS-path-12071…

fusionUniJena's tweet image. #robots with #human level? - distinguished lecturer series starts in 2 days @unijena fmi.uni-jena.de/DLS-path-12071…


No results for "#softwareaging"

WoSAR is a unique forum to discuss the software aging and rejuvenation impacts on systems from different domains of applicability 💁Check the CFP: wosar2021.com #ISSRE2021 #WOSAR2021 #softwareaging

ISSREConf's tweet image. WoSAR is a unique forum to discuss the software aging and rejuvenation impacts on systems from different domains of applicability 💁Check the CFP: wosar2021.com #ISSRE2021 #WOSAR2021 #softwareaging

Developing an ML model to proactively predict SW aging-related bugs: “An #EmpiricalFramework for #SoftwareAging-Related Bug Prediction using Weighted #ExtremeLearning Machine“ by L. Kumar, V. Singh, LB Murthy, S. Misra, A. Krishna. ACSIS Vol. 37 p.181–188; tinyurl.com/mr39xzpa

annals_csis's tweet image. Developing an ML model to proactively predict SW aging-related bugs: “An #EmpiricalFramework for #SoftwareAging-Related Bug Prediction using Weighted #ExtremeLearning Machine“ by L. Kumar, V. Singh, LB Murthy, S. Misra, A. Krishna. ACSIS Vol. 37 p.181–188; tinyurl.com/mr39xzpa

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