DocumentCode
573330
Title
Allegro: A Metrics Framework for Globally Distributed Service Delivery
Author
Oppenheim, Daniel ; Chee, Yi-Min ; Varshney, Lav R.
Author_Institution
Thomas J. Watson Res. Center, IBM, Hawthorne, NY, USA
fYear
2012
fDate
24-27 July 2012
Firstpage
461
Lastpage
469
Abstract
Globalization and specialization are growing trends in service organizations. Engineering and operating optimal structures within these service organizations requires coordinating the doing of service work, which in turn requires capturing and sharing information across localized teams. There is a need for a metrics framework, implemented in information technology, to make this possible. This paper describes the need for a metrics framework in global service delivery, properties of effective metrics frameworks, and Allegro, a metrics framework that is designed specifically to support globally distributed human intensive work, such as complex software development. Allegro is based on an abstract model of service delivery as a decomposition into a network of atomic service requests, each formalized according to a protocol we call Work-as-a-Service (WaaS). In this approach, Metrics do not only fulfill their traditional roles in driving quality and improvement. They also serve as configurable sensors essential to the effective coordination of a distributed service network.
Keywords
cloud computing; distributed processing; software metrics; Allegro; WaaS; abstract model; complex software development; globally distributed service delivery; information technology; metrics framework; service organizations; work-as-a-service; Context; Couplings; Engines; Measurement; Organizations; Software; cross enterprise collaboration; globalization; human services; metrics; process; service quality;
fLanguage
English
Publisher
ieee
Conference_Titel
SRII Global Conference (SRII), 2012 Annual
Conference_Location
San Jose, CA
ISSN
2166-0778
Print_ISBN
978-1-4673-2318-5
Electronic_ISBN
2166-0778
Type
conf
DOI
10.1109/SRII.2012.57
Filename
6311027
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