Ongoing progress in computational intelligence (CI) has led to an increased desire to apply CI techniques for the pur-pose of improving software engineering processes, particularly software testing. Existing state-of-the-art automated software testing techniques focus on utilising search algorithms to discover input values that achieve high execution path coverage. These algorithms are trained on the same code that they intend to test, requiring instrumentation and lengthy search times to test each software component. This paper outlines a novel genetic programming framework, where the evolved solutions are not input values, but micro-programs that can repeatedly generate input values to efficiently explore a software component's input parameter domain. We also argue that our approach can be generalised such as to be applied to many different software systems, and is thus not specific to merely the particular software component on which it was trained.

URDAD, the Use-Case, Responsibility Driven Analysis and Design is a service-oriented methodology used by requirements engineers to produce the Computation Independent Models (CIMs) of the Model Driven Architecture (MDA) with sufficient detail and precision that they can be used directly as Platform Independent Models (PIMs). The analysis and design process is supported by a metamodel specifying the modeling semantics and a concrete grammar used to capture URDAD models. In this paper we identify quality criteria for the resultant requirements specification and for the process itself. For each quality criterion we identify a set of quality drivers and show how quality drivers are embedded within the URDAD methodology.

This editorial preface describes the aims and motivation as well as some details of the reviewing process of SESENA 2010, the First International Workshop on Software Engineering for Sensor Network Applications, which took place under the umbrella of ICSE 2010, the 32rd ACM/IEEE International Conference on Software Engineering, in Cape Town, South Africa, May 2010. See also our workshop's website at http://www.sesena.info/