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Grant: Alliance Grants

Concordia University

$143,732.00

Proactive Software Performance Assurance in ERA

FY 2022-23

Summary
ERA environmental (ERA) provides the world-leading software solutions to cope with the challenges that are associated with quantifying the environmental impact and simplifying manufacturing facilities' regulatory reporting. The performance of ERA's software has become an important aspect to provide quality services. Not just for ERA, the performance of ultra-large-scale systems have been an emerging and an extremely important topic. Performance assurance activities are typically conducted to identify and eliminate performance issues. Such issues may compromise the user experience, increase the operating cost of the system, and cause field failures. Despite the advances towards automated and efficient performance assurance activities, conducting performance assurance activities in the modern software development is facing great challenges. First of all, performance assurance activities remains a task that is conducted after fact. However, large amounts of resources are required to detect, locate, understand and fix performance issues at such a late stage in the development circle. In addition, performance assurance activities are often designed in an ad hoc manner without considering the knowledge from the end users, leading to non-meaningful issues for the end users or non-representative issues of real-life performance. In this project, we propose to improve the state-of-the-art of performance assurance activities of ERA's large-scale software solutions by provide proactive detection and diagnosis approaches. In particular, we propose two research objectives: 1) Proactive performance evaluation and prediction and 2) Proactive performance testing strategies. The outcome of the project will significantly improve the performance assurance activities in ERA as well as general software engineering practices in Canada and globally.
Program
Alliance Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
566177-2021
Name nom
Shang, Weiyi W
Department département
Computer Science and Software Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2021
Award amount
143732
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
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
2706
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Software engineering
Research subject fr
Génie logiciel
Installment
inst:2
Partie
1
Nb partie
2
Application title
Proactive Software Performance Assurance in ERA
Application summary
ERA environmental (ERA) provides the world-leading software solutions to cope with the challenges that are associated with quantifying the environmental impact and simplifying manufacturing facilities' regulatory reporting. The performance of ERA's software has become an important aspect to provide quality services. Not just for ERA, the performance of ultra-large-scale systems have been an emerging and an extremely important topic. Performance assurance activities are typically conducted to identify and eliminate performance issues. Such issues may compromise the user experience, increase the operating cost of the system, and cause field failures. Despite the advances towards automated and efficient performance assurance activities, conducting performance assurance activities in the modern software development is facing great challenges. First of all, performance assurance activities remains a task that is conducted after fact. However, large amounts of resources are required to detect, locate, understand and fix performance issues at such a late stage in the development circle. In addition, performance assurance activities are often designed in an ad hoc manner without considering the knowledge from the end users, leading to non-meaningful issues for the end users or non-representative issues of real-life performance. In this project, we propose to improve the state-of-the-art of performance assurance activities of ERA's large-scale software solutions by provide proactive detection and diagnosis approaches. In particular, we propose two research objectives: 1) Proactive performance evaluation and prediction and 2) Proactive performance testing strategies. The outcome of the project will significantly improve the performance assurance activities in ERA as well as general software engineering practices in Canada and globally.
Concordia University - $143,732 Grant (2022-23) | Canada Spends