This paper discusses the slow adoption of Web services technology and argues that quality of service (QoS) is a key factor. It proposes a new Web services discovery model that considers both functional and non-functional requirements, including QoS, to give consumers confidence in the quality of discovered services. The current UDDI model focuses only on functional aspects, but the proposed model extends UDDI to include QoS information, allowing for more accurate service discovery based on both functional and QoS requirements. The new model introduces a Web service QoS certifier to verify QoS claims before registration. This ensures that only services meeting certain QoS standards are registered in the UDDI registry. The model also extends UDDI data structures to include QoS information, enabling more precise service discovery. The paper describes various QoS categories, including runtime-related, transaction support, configuration management and cost, and security-related QoS. These categories are quantifiable and help in evaluating the quality of services. The proposed framework aims to address the limitations of the current UDDI model by incorporating QoS into the service discovery process. This would allow consumers to search for services based on both functional and QoS requirements, ensuring that the services they discover meet their needs. The paper concludes that further research is needed to develop matching algorithms between desired and supplied QoS, and to incorporate semantic modeling of QoS categories to fully exploit the potential of the proposed framework.This paper discusses the slow adoption of Web services technology and argues that quality of service (QoS) is a key factor. It proposes a new Web services discovery model that considers both functional and non-functional requirements, including QoS, to give consumers confidence in the quality of discovered services. The current UDDI model focuses only on functional aspects, but the proposed model extends UDDI to include QoS information, allowing for more accurate service discovery based on both functional and QoS requirements. The new model introduces a Web service QoS certifier to verify QoS claims before registration. This ensures that only services meeting certain QoS standards are registered in the UDDI registry. The model also extends UDDI data structures to include QoS information, enabling more precise service discovery. The paper describes various QoS categories, including runtime-related, transaction support, configuration management and cost, and security-related QoS. These categories are quantifiable and help in evaluating the quality of services. The proposed framework aims to address the limitations of the current UDDI model by incorporating QoS into the service discovery process. This would allow consumers to search for services based on both functional and QoS requirements, ensuring that the services they discover meet their needs. The paper concludes that further research is needed to develop matching algorithms between desired and supplied QoS, and to incorporate semantic modeling of QoS categories to fully exploit the potential of the proposed framework.