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ÐThis paper reports on an empirical research based on two software products. The research goal is to ascertain the impact of the adoption of a reuse policy on customer satisfaction. The results show that when a systematic reuse policy is implemented, such as the adoption of a domain specific library, 1) reuse is significantly positively correlated with(More)
Measures represent important data in all engineering disciplines. This data allows engineers to understand how things work and how to make changes to produce desired results. In software engineering, it is difficult to collect useful measures because developers do not consider it an important activity, compared to coding. Moreover, manual collected data is(More)
The growing availability of COTS (Commercial-Off-The-Shelf) components in the software market has concretized the possibility of building whole systems based on components. In this multitude, a recurrent problem is the location and selection of the components that best fit the requirements. Commercial repositories that offer search mechanisms have reduced(More)
The heterogeneity and the lack of structure of World Wide Web make automated discovery, organization, and management of Web-based information a non-trivial task. Traditional search and indexing tools provide some comfort to users, but they generally provide neither structured information nor categorize, filter, or interpret documents in an automated way. In(More)
Fuzzy Logic has traditionally found an application in control theory, systems analysis, and artificial intelligence [9] [7]. However, it is very difficult to apply it to traditional software engineering. There is evidence that fuzzy logic can help in avoiding early assignment errors in SW engineering methods [1]. The authors have developed a technique that(More)
There is still no standardization of software measures and metrics extraction tools have to be updated frequently to handle the changes. A possible solution is represented by using an intermediate abstraction layer to decouple the information extraction process from the use of the information. In this way a metrics researcher do not have to deal with(More)
The design of computational methods to recognize human motions is among the most promising research activities in Ambient Intelligence. Accepted solutions use acceleration data provided by wearable sensors. To design general pro­ cedures for motion modeling and recognition, this article adopts Gaussian Mixture Modeling and Regression to build computational(More)