Grant: Canada Research Chairs
Queen's University
$100,000.00
Software Analytics
EF 2019-20
Résumé
Ultra-large scale (ULS) systems (e.g., nation-wide telephony and banking infrastructures) must cope with problems of scale that dwarf the ones facing traditional software. These massively-deployed costly-to-operate systems must manage billions of transactions daily with no downtime. Yet, important decisions associated with such systems are often based on intuition and guesswork. Such haphazard decisions lead to wasted resources and increased costs. The proposed CRC on Software Analytics will change the Industry's status quo by developing fact-based decision support approaches for such systems through the mining of the rich yet-rarely leverage repositories associated with such systems (e.g., operational logs and development history).
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
1000232161-2018
Name nom
Hassan, Ahmed
Department département
School of Computing
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Installment
NA
Partie
0
Nb partie
NA
Application title
Software Analytics
Keyword
NSERC
Application summary
Ultra-large scale (ULS) systems (e.g., nation-wide telephony and banking infrastructures) must cope with problems of scale that dwarf the ones facing traditional software. These massively-deployed costly-to-operate systems must manage billions of transactions daily with no downtime. Yet, important decisions associated with such systems are often based on intuition and guesswork. Such haphazard decisions lead to wasted resources and increased costs. The proposed CRC on Software Analytics will change the Industry's status quo by developing fact-based decision support approaches for such systems through the mining of the rich yet-rarely leverage repositories associated with such systems (e.g., operational logs and development history).
