The paper presents an up-to-date view of entities of the cultural heritage sector and their relationships with other domains of human activity as well as the corresponding business models facilitated by modern information and communication technologies. The economic impact of the interactions established between various actors of the cultural economy landscape, such as cultural heritage institutions, digital "facilitators" and public, is described by using a cybernetic representation and a corresponding mathematical model. A particular emphasis is put on mobile technology-based approach to the cultural heritage sector and an example of a practical online virtual exhibition is provided.
Software testing is an important process that helps to develop high quality software. This process is more time consuming when applied to control systems. This involves the use of several testing strategies, techniques and methodologies. At the module level one of test technique is to assure as much as possible code coverage. This is accomplished using several methods, one of them being automatic test data generation. Test data generation can be done manually, randomly or using combinatorial optimizing techniques. Another technique involves the use of genetic algorithm (GA). The paper presents a system that involves an automatic control of test data generation. It also provides implementation details of a test data generator (TDG) based on GA that uses a specific fitness function called Inverse Similarity of Coverage (ISC). The test data generator is a module of the proposed system. The results show that the proposed solution, GA-TDG, has far better results in many relevant situations than random test generators regarding the number of software under test (SUT) runs.
Abstract:The mobile applications environment has a multitude of particularities generated by the complex system of devices, hardware, and software profiles and categories of users. The mobile industry has also evolved rapidly in the last 5 years from single-core mobile platforms to multiple-core mobile application platforms, able to compete in terms of user services with notebooks. New types of devices, like tablets, or shifts in human-computer interface paradigms from button click to screen touch, have opened new perspectives both for users and software developers. This requires an adaptable approach for performance analysis in terms of total quality management for software projects. In this context, quality is analyzed from the viewpoints of developers, of users and, respectively, of one who aims to recover an investment. This paper proposes a mobile application quality estimation model that requires the identification of features such as mode of interaction, command speeds, interaction time, drivability, volume of provided information, error management, selfhealing, integrability, data security, transaction security, coefficients determining importance and building an aggregate indicator, and which properties should be highlighted for ensuring usability in a practical environment. The indicator is integrated in a quality metric used to assess mobile applications' quality. Emphasizing the usefulness of the indicator is done on a representative set of mobile computing applications. The paper proposes a set of indicators normalized on the [0; 1] interval used to measure the application quality level.
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