Most of today's software development projects depend on the usage of existing solutions to save time and development cost. We target in this research work the design of a software capability profile that provides a broader view of an organization's internal and external software, along with an exploitation model in line with requirements engineering and enterprise architecture to fill the gap between the goals of the stakeholders and what can be delivered as a practical solution. For this purpose, we define a Framework that offers a qualification that helps to gather the initial requirements that guided the development of existing software. This qualification is based on a proposed Enterprise Architecture Capability Profile and its associated ontology covering business, operational and technical aspects for serviceoriented software. Furthermore, an exploitation methodology is proposed and based on the alignment of requirements engineering with software architecting actions that evolve together, to investigate the highest compatibility of the desired functionalities. Our contribution aims to improve the reuse of existing services, by upgrading these technical components to the level of end-user's requirements for accelerating future business application development. An implementation and a case study are proposed to demonstrate the effectiveness of this approach.

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Software reuse and REST-based Web Applications resulted from open initiatives become an interesting opportunity for companies to save effort, time and cost during the design and development of new business needs. Gather and qualify these services in a container helps to discover, match and reuse them in developing new business applications for companies. Our objective in this work is the design of a software capability container offering a wider view qualification for REST-based services. Moreover, we aim to enrich the designed container with semantic elements to ease the discovery and the selection of the qualified services. In this purpose, we define an ontology based on a proposed Enterprise Architecture Capability Profile offering a qualification covering business, operational and technical aspects for services. Ontologies are widely acknowledged as a means to specify explicitly the meaning of concepts in a domain of interest, and to facilitate consistent sharing of data and knowledge pertaining to them. The qualification profile is based on a proposed meta-model that helps to retrieve and gather initial requirements used to guide the development of existing REST-based Web Applications. Furthermore, a Framework is proposed to exploit the designed container in order to respond to users requirements for developing future business process and efficiently reuse the qualified services. Our contribution aims to upgrade technical components to the level of end-users requirements. This helps to accelerate business application development and improve the reuse and sustainability of existing services.

The use of real-time data in logistics is an important topic. Every day, logistics produces a large quantity of data, which is mainly produced by monitoring and controlling the enormous flow of goods. The last-mile delivery market is expanding at a rapid pace through large-and small-scale consumer platforms, but the economic drivers to create more sustainable systems are weak. Therefore, cities are facing the potential downside of this "Uberisation" of logistics. Urban and city planners, city administrators, and business stakeholders need a new adaptive approach such as the usage of digital twinning solutions of urban logistics. This to help in the interpretation of the dynamics of logistics networks in the city and the consequences of the introduction of particular innovations. The challenge is to predict the most likely developments for the coming years and propose feasible policies on that basis. This research work aims to advance research in the field of digital twins applied to city logistics, by proposing a framework enabling new applications for designing and assessing targeted urban logistics policies and to develop a range of logistics solutions for shared, connected, and low-emission logistics operations, empowered by an adaptive modeling approach.