This study seeks to discover whether handball goalkeepers employ a general anticipatory strategy when facing long distance throws and the effect of uncertainty on these strategies. Seven goalkeepers and four throwers took part. We used a force platform to analyse the goalkeeper's movements on the basis of reaction forces and two video cameras synchronised at 500 Hz to film the throw using 3D video techniques. The goalkeepers initiated their movement towards the side of the throw 193 ± 67 ms before the release of the ball and when the uncertainty was reduced the time increased to 349 ± 71 ms. The kinematics analysis of their centre of mass indicated that there was an anticipatory strategy of movement with certain modifications when there was greater uncertainty. All the average scores referring to velocity and lateral movement of the goalkeeper's centre of mass are significantly greater than those recorded for the experimental situation with bigger uncertainty. The methodology used has enabled us to tackle the study of anticipation from an analysis of the movement used by goalkeepers to save the ball.

The objective of this study was to evaluate the anticipation time and kinematic factors in the movement of goalkeepers’ center of mass when making a long-distance throw in handball. The sample group was composed of 14 goalkeepers and field players. A force platform was used to measure the force of the goalkeepers’ reaction movements, while the throwers’ movements were recorded with high-speed cameras. The expert goalkeepers began to move 193 ± 67 ms before the ball was released, with a 67% success rate of interception. The inexperienced goalkeepers began their movement 209 ± 127 ms with a 24% success rate. The time taken by expert goalkeepers to begin a vertical movement of their CM, relative to the moment of the ball’s release, was less than the time taken by inexperienced goalkeepers (77 ± 70 vs. 141 ± 108 ms respectively). The analysis of the velocity and movement indicates that expert goalkeepers wait longer before moving than do inexperienced goalkeepers.

Abstract. In general, a methodology needs to be empowered by appropriate tool support. Despite MDE paradigm does not result friendly enough in enterprise environments, particularly, the application of transformations among models may become complex, monotonous and very expensive if there are no software tools automating the process. In this context, this research paper presents NDT-Suite. Nowadays, NDT-Suite is composed by a wide set of free Java tools which gives support to enterprises that are using NDT (Navigational Development Techniques) methodology in their projects. All of them support different aspects in NDT usage: quality assurance, exit generation or code checking, among others. These seeds set the environment for NDT usage for both research and practical use.Keywords: Model-Driven Web Engineering, Model-Based Suite, Tools, Practical Experiences, NDT. IntroductionThe Model Driven Engineering paradigm (MDE) in general, and the Model-Driven Web Engineering (MDWE) in particular, came up in order to tackle the complexity of platforms and the inability of third generation languages to relief this complexity. This new paradigm intends to increase automation during the life cycle of software development and works, as primary form of expression, with definitions of models and transformation rules among these models by entailing the production of other models. In addition, if suitable tools are defined, this process could even be automatic. However, MDWE is not easy to be applied in enterprise environments since it does not result too friendly for development teams. Concepts such as models, metamodels, transformations or QVT, among others, are not common notations in the enterprise environment and they seem too abstract and complex.For this reason, this research paper presents how NDT [1] (Navigational Development Techniques) addresses this challenge with the aim of involving the enterprise with the power of MDE. NDT is a methodological proposal included within MDE that provides support to all phases of software life cycle: feasibility study,