Inspection and Test Process Integration Based on Explicit Test Prioritization Strategies

Today's software quality assurance techniques are often applied in isolation. Consequently, synergies resulting from systematically integrating different quality assurance activities are often not exploited. Such combinations promise benefits, such as a reduction in quality assurance effort or higher defect detection rates. The integration of inspection and testing, for instance, can be used to guide testing activities. For example, testing activities can be focused on defect-prone parts based upon inspection results. Existing approaches for predicting defect-prone parts do not make systematic use of the results from inspections. This article gives an overview of an integrated inspection and testing approach, and presents a preliminary case study aiming at verifying a study design for evaluating the approach. First results from this preliminary case study indicate that synergies resulting from the integration of inspection and testing might exist, and show a trend that testing activities could be guided based on inspection results.Comment: 12 pages. The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-642-27213-4_1

Evaluating the Potential of a Large-Scale Polysemy Network as a Model of Plausible Semantic Shifts

We present a very large network of crosslinguistic polysemies, and compare the notion of semantic relatedness it encodes to the catalogue of semantic shifts maintained by the Russian Academy of Sciences. We separately evaluate all types of semantic shifts featured in the catalogue, including shifts occurring during semantic evolution, during borrowing, and during morphological derivation. The comparison shows that over one third of the attested semantic shifts take place between close neighbors in the network. This can be considered strong evidence for the usefulness of polysemy networks in modelling most types of lexical change, making them a valuable resource e.g. for semantic reconstruction or future automatization of cognate detection. We also show that the semantic shifts which occur during morphological derivation form a divergent class, and might need to be modelled separately