In this paper we present a methodology for uncertainty analysis of the software operational profile suitable for large complex component–based applications and applicable throughout the software life cycle. Within this methodology we develop a method for studying the sensitivity of software usage to changes in the operational profile based on perturbation theory. This method is then illustrated...

ISO 16100 series provides a standardized methodology for the interoperability of manufacturing software using capability profiling. The method for describing software capability as Capability Profile and the way for exchanging software capability as information through Capability Profile are provided by ISO 16100. By using these two fruits from ISO 16100, two new interoperability services are p...

Abstract—We propose a lightweight, and temporally and spatially aware user behaviour modelling technique for sensor-based authentication. Operating in the background, our data driven technique compares current behaviour with a user profile. If the behaviour deviates sufficiently from the established norm, actions such as explicit authentication can be triggered. To support a quick and lightweig...

In this paper, a UML profile for data quality is proposed with the aim of supporting quality improvement inside an organization. The profile is based on the IP-MAP framework and has the advantage of giving a formal definition to the main concepts related to the management of quality improvement, as well as organizing such concepts into a set of models useful for realizing a software system. A m...

In many application fields such as disaster management or personal planning, efficient mobile services should capture users' context in order to provide them with the most appropriate information at a given time. Situation‐based services aim toward this direction. They go beyond location‐based services as they take a user's current situation into account. Situations include user profiles togeth...

Recommendation systems have been integrated into the majority of large online systems. They tailor those systems to individual users by filtering and ranking information according to user profiles. This adaptation process influences the way users interact with the system and, as a consequence, increases the difficulty of evaluating a recommendation algorithm with historical data (via offline ev...