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ABSTRACT: The manual composition of efficient combinations of Web services becomes almost impossible as the number of services increases
dramatically. When determining an appropriate set of services, managers must take into consideration given business processes,
business strategy and multiple Quality of Service (QoS) objectives while ensuring the cost-efficient usage of limited resources.
Because the agility with which new business requirements are adapted has a major influence on business success and poor investment
decisions may thus entail corporate failure, decision makers are experiencing growing pressure to prove the value of IT investments—but
they often lack appropriate multicriteria decision support tools. This paper introduces a new decision support approach that
more properly addresses these challenges. We implemented this approach into a tool and evaluated the performance of two popular
methods (i.e., the Analytic Hierarchy Process and the Weighted Scoring Method) by means of a real-life case study in the social
security sector. It turns out that the decision support system assists decision makers in identifying investments that more
precisely target their company’s business needs by allowing them to interactively determine and continually optimize service
allocation according to the corporate business processes and multiple (strategic) objectives.
KeywordsWeb services selection-Multiple objectives-Interactive decision support
Information Technology and Management 04/2012; 11(1):25-41. · 0.14 Impact Factor
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Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008, Yilan, Taiwan, 9-12 December 2008; 01/2008
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ABSTRACT: In the past decade component-based software engineering (CBSE) has gained considerable attention from both industry and the scientific community. Obviously, selecting the "best" combination of commercial off-the-shelf (COTS) components plays a critical role in CBSE. This task becomes demanding, as multiple objectives and constraints have to be taken into account. So far, the selection process has been tackled by such traditional techniques as the weighted scoring method or the analytical hierarchy process. This paper introduces a decision support approach that more properly addresses that challenge. The approach involves first determining (feasible) Pareto-efficient alternatives, then allowing decision makers to interactively explore the solution space until they find the most appealing solution. It not only works without extensive a priori preference information (such as criteria weights), it can also be easily integrated into existing COTS selection frameworks
System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on; 02/2007
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eOrganisation: Service-, Prozess-, Market-Engineering: 8. Internationale Tagung Wirtschaftsinformatik - Band 2, WI 2007, Karlsruhe, Germany, February 28 - March 2, 2007; 01/2007
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Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), Seoul, Korea, March 11-15, 2007; 01/2007
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Proceedings of the The First International Conference on Availability, Reliability and Security, ARES 2006, The International Dependability Conference - Bridging Theory and Practice, April 20-22 2006, Vienna University of Technology, Austria; 01/2006
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ACM SIGSOFT Software Engineering Notes. 01/2005; 30:1-5.
