Redirigiendo al acceso original de articulo en 21 segundos...
ARTÍCULO
TITULO

Value-Based and Context-Aware Selection of Software-Service Bundles: A Capability Based Method

Janis Grabis    
Kurt Sandkuhl    

Resumen

In many application areas, vendors offer to their clients combinations of software products and services, which can be considered as software-service bundles. The clients select a combination of software product and associated service best suited to their individual requirements and circumstances. The bundle usually has to be configured by the vendor to fit the specific situation of the client. When circumstances change, the software-service bundle or its configuration need adaptation. The article proposes a method helping clients to select the most appropriate combination or configuration. The method is based on information sharing between the vendor and client and also supports the continuous improvement of the solution in response to changing circumstances. The method applies principles and techniques of the Capability Driven Development to specify performance objectives and contextual factors affecting delivery of a software-service bundle. Application of the method is shown using an illustrative case of a data processing service from utility industries.

 Artículos similares

       
 
Hubert Anysz, Jerzy Roslon and Andrzej Foremny    
There are several factors influencing the time of construction project execution. The properties of the planned structure, the details of an order, and macroeconomic factors affect the project completion time. Every construction project is unique, but th... ver más
Revista: Applied Sciences

 
Omar K. Sabri and Olav Torp    
The consensus in the Norwegian construction industry is that the projects are characterized by conflicts. Because unresolved disputes that reach courts take time and resources to be solved, this leads to lost productivity and high costs for all stakehold... ver más
Revista: Infrastructures

 
Shuangzhong Wang and Ying Zhang    
The federated learning network requires all the connection weights to be shared among the server and clients during training which increases the risk of data leakage. Meanwhile, the traditional federated learning method has a poor diagnostic effect for n... ver más

 
Afsana Khan, Marijn ten Thij and Anna Wilbik    
Federated learning (FL) is a privacy-preserving distributed learning approach that allows multiple parties to jointly build machine learning models without disclosing sensitive data. Although FL has solved the problem of collaboration without compromisin... ver más
Revista: Algorithms

 
Dimitris C. Gkikas, Prokopis K. Theodoridis and Grigorios N. Beligiannis    
An excessive amount of data is generated daily. A consumer?s journey has become extremely complicated due to the number of electronic platforms, the number of devices, the information provided, and the number of providers. The need for artificial intelli... ver más
Revista: Informatics