The paper presents a quality-driven approach to selecting component services during the execution of a composite service, aiming to optimize the selection process based on multiple criteria such as price, duration, and reliability. The authors propose a global planning approach where service selection is formulated as an optimization problem using linear programming methods. Experimental results show that this approach outperforms local selection strategies in terms of overall duration and budget constraints. The paper also discusses the implementation of the proposed approach in the SELF-SERV prototype and evaluates its performance through experiments, demonstrating superior QoS metrics and system costs compared to local selection approaches.The paper presents a quality-driven approach to selecting component services during the execution of a composite service, aiming to optimize the selection process based on multiple criteria such as price, duration, and reliability. The authors propose a global planning approach where service selection is formulated as an optimization problem using linear programming methods. Experimental results show that this approach outperforms local selection strategies in terms of overall duration and budget constraints. The paper also discusses the implementation of the proposed approach in the SELF-SERV prototype and evaluates its performance through experiments, demonstrating superior QoS metrics and system costs compared to local selection approaches.