Abstract

Abstract
The suggestion that in software development projects the emphasis must be on the project management (RE), requirements engineering, and design activities, and consequently efforts in production activities - such as traditional software programming and testing - should be minimised and performed as automatically as possible is discussed. The ProjectIT approach that integrates contributions from the RE and model-driven engineering communities is also discussed. The goal with requirement specification is not just in managing textual specifications, but also to obtain a consistent requirements document that is in conformance with a domain-specific language, and that can be re-used to increase the design and development activities in the context of model driven and code generation techniques. Furthermore, the feasibility and benefits of this approach by presenting a proof-of-concept case study are discussed, in which the orchestration of the concepts and concrete components related with the ProjectIT approach, the PIT-RSL, XIS and PIT-TSL languages and the ProjectIT-Studio CASE tool is emphasised. A practical demonstration of the approach including the description of the system requirements, the design of the system, the use of code generation techniques, and how they integrate to improve and accelerate the software engineering lifecycle is presented.

Abstract
In this paper we present the main concepts of a domain-specific aspect language for specifying cross-cutting concerns of MATLAB programs, together with a suite of metrics that is capable of assessing the overall advantage of introducing aspects in the development cycle of MATLAB software. We present the results of using our own suite to quantify the advantages of using aspect oriented programming, both in terms of programming effort and code quality. The results are promising and show a good potential for aspect oriented programming in MATLAB while our suite proves to be capable of analyzing the overall characteristics of MATLAB solutions and providing interesting results about them.

Abstract

Abstract
Strategic term re-writing and attribute grammars are two powerful programming techniques widely used in language engineering. The former relies on strategies to apply term re-write rules in defining large-scale language transformations, while the latter is suitable to express context-dependent language processing algorithms. These two techniques can be expressed and combined via a powerful navigation abstraction: generic zippers. This results in a concise zipper-based embedding offering the expressiveness of both techniques. Such elegant embedding has a severe limitation since it recomputes attribute values. This paper presents a proper and efficient embedding of both techniques. First, attribute values are memoized in the zipper data structure, thus avoiding their re-computation. Moreover, strategic zipper based functions are adapted to access such memoized values. We have implemented our memoized embedding as the Ztrategic library and we benchmarked it against the state-of-the-art Strafunski and Kiama libraries. Our first results show that we are competitive against those two well established libraries.

Abstract