Rock art is a widespread cultural heritage, representing an immovable element of the material culture created on natural rocky supports. Paintings and petroglyphs can be found within caves and rock shelters or in open-air contexts and for that reason they are not isolated from the processes acting at the Earth surface. Consequently, rock art represents a sort of ecosystem because it is part of the complex and multidirectional interplay between the host rock, pigments, environmental parameters, and microbial communities. Such complexity results in several processes affecting rock art; some of them contribute to its destruction, others to its preservation. To understand the effects of such processes an interdisciplinary scientific approach is needed. In this contribution, we discuss the many processes acting at the rock interface—where rock art is present—and the multifaceted possibilities of scientific investigations—non-invasive or invasive—offered by the STEM disciplines. Finally, we suggest a sustainable approach to investigating rock art allowing to understand its production as well as its preservation and eventually suggest strategies to mitigate the risks threatening its stability.

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The OpenLDAT project (short for Open Latency Display and Analysis Tool) is a system composed of a self‐buildable device and an open‐licensed application to measure several display latency metrics. The most interesting metric is total system latency: the time between an action happening in the physical world, like a mouse being clicked, and the result being displayed on the screen, such as a muzzle flash from a weapon in a videogame. There is currently no similar device on the market, and this type of measurement is traditionally done manually using a modified mouse and a high speed camera, but OpenLDAT can measure it automatically using a built‐in test, or interactively, allowing testing of virtually any game or application, potentially on a separate machine. In addition to system latency, OpenLDAT can also measure more traditional metrics, such as pixel response times.

Web applications have become complex and crucial for many firms, especially when combined with areas such as CRM (Customer Relationship Management) and BPR (Business Process Reengineering). Since then the scientific community has focused attention to Web application design, development, analysis, testing, by studying and proposing methodologies and tools. This paper describes an automatic tool for the construction of UML models from existing Web applications. This tool, named WebUml, generates class and state diagrams by analysing source code and by interacting with the Web server. This reverse engineering tool is based on source code static analysis and also applies mutational techniques in order to exploit the server side execution engine to accomplish part of the dynamic analysis. This tool will be the core of a testing suite under construction at our laboratory. WebUml generated models (diagrams) will be used as a base for test case generation and coverage analysis.