5,961 research outputs found
Early aspects: aspect-oriented requirements engineering and architecture design
This paper reports on the third Early Aspects: Aspect-Oriented Requirements Engineering and Architecture Design Workshop, which has been held in Lancaster, UK, on March 21, 2004. The workshop included a presentation session and working sessions in which the particular topics on early aspects were discussed. The primary goal of the workshop was to focus on challenges to defining methodical software development processes for aspects from early on in the software life cycle and explore the potential of proposed methods and techniques to scale up to industrial applications
On the Feasibility of Automated Detection of Allusive Text Reuse
The detection of allusive text reuse is particularly challenging due to the
sparse evidence on which allusive references rely---commonly based on none or
very few shared words. Arguably, lexical semantics can be resorted to since
uncovering semantic relations between words has the potential to increase the
support underlying the allusion and alleviate the lexical sparsity. A further
obstacle is the lack of evaluation benchmark corpora, largely due to the highly
interpretative character of the annotation process. In the present paper, we
aim to elucidate the feasibility of automated allusion detection. We approach
the matter from an Information Retrieval perspective in which referencing texts
act as queries and referenced texts as relevant documents to be retrieved, and
estimate the difficulty of benchmark corpus compilation by a novel
inter-annotator agreement study on query segmentation. Furthermore, we
investigate to what extent the integration of lexical semantic information
derived from distributional models and ontologies can aid retrieving cases of
allusive reuse. The results show that (i) despite low agreement scores, using
manual queries considerably improves retrieval performance with respect to a
windowing approach, and that (ii) retrieval performance can be moderately
boosted with distributional semantics
Scalable laws for stable network congestion control
Discusses flow control in networks, in which sources control their rates based on feedback signals received from the network links, a feature present in current TCP protocols. We develop a congestion control system which is arbitrarily scalable, in the sense that its stability is maintained for arbitrary network topologies and arbitrary amounts of delay. Such a system can be implemented in a decentralized way with information currently available in networks plus a small amount of additional signaling
Robustness of controllers designed using Galerkin type approximations
One of the difficulties in designing controllers for infinite-dimensional systems arises from attempting to calculate a state for the system. It is shown that Galerkin type approximations can be used to design controllers which will perform as designed when implemented on the original infinite-dimensional system. No assumptions, other than those typically employed in numerical analysis, are made on the approximating scheme
ON THE APPLICATION OF SEQUENTIAL QUADRATIC PROGRAMMING TO STATE CONSTRAINED OPTIMAL CONTROL PROBLEMS
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An Inquiry Into The Nature Of Analysis.
Increases in the complexity and uncertainty of corporate activity indicate that the time is now appropriate to review the analysis process. This proposition forms the central theme of the thesis, i.e. to explore the nature of analysis. Initial research concentrated on the field of hard system methods, to provide a theoretical foundation for conducting analysis. However, from observations undertaken as a reflective practitioner it became clear that, even with theoretical advances, hard system methods could only make a marginal contribution to the analysis process. Hard system methods foiled to account for the feet that experts had an uncertain knowledge of the domain on which they were expected to pronounce. Contemporary literature from the fields of strategic management and organisational behaviour pose fundamental challenges to the accepted origin and nature of requirements for change. Complexity theory, however, offers a new theoretical foundation to ease the plight of the domain expert, i.e. pattern recognition. However to ensure that patterns reflect the cognitive strategies-and priorities of the domain expert, it is necessary to explore the field of cognitive psychology to appreciate the significance of the metaphors selected to construct patterns. Finally, knowledge management claims that the value of knowledge is under endless assault and argues for the domain expert to be engaged in a virtuous cycle of perpetual knowledge creation. The thesis seeks to integrate these themes to redefine the analysis process based on methodological pluralism. The key to methodological pluralism proved eventually to be the introduction of generic ‘behaviour accentuated’ patterns of analysis at the core of the selected techniques. The nature of analysis has changed radically over the last decade and significant research is required to develop themes raised in this thesis. Moreover, further work is required to disseminate the themes to the practitioner community
Object-Oriented Development "The New Design Problem"
New techniques often involve innovative approaches and looking at the problem they address from a different perspective: OO will be of heavy impact of the software construction. The technological shift from classical development and structured methods to evolutionary development and object-oriented methods is certainly not easy. We must given it the time and the means in terms of structures, training, staff, and support for all to come effective. C,S has joined several R&D projects to test if and how Object Orientation can be applied to its software. We share here our considerations on OO development and the understanding obtained through practical experiences within the CMS object oriented activities and the RD41 (Moose) project
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