Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Lessons from industrial design for software engineering through constraints identification, solution space optimisation and reuse

Lookup NU author(s): Dr Denis Besnard, Anthony Lawrie

Downloads


Abstract

Design is a complex activity that can be analysed from a wide variety of perspectives. This paper attempts to get into the details of this particular problem solving process, taking into account psychological arguments. We characterise some of the phases involved in the design process, namely the constraints identification, the optimisation of solution space and the reuse process. We highlight a three-dimensional framework of how the constraints identification impacts on the solution space which, in turn, determines the range of the components that will be eligible for reuse. We discuss this argument through examples from both inside and outside the software engineering field. We then consider how our conception can describe successful designs and conclude by briefly looking at reuse as a general design policy.


Publication metadata

Author(s): Besnard D, Lawrie AT

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: ACM Symposium on Applied Computing (SAC)

Year of Conference: 2002

Pages: 732-738

Date deposited: 26/11/2004

Publisher: ACM

URL: http://dx.doi.org/10.1145/508791.508933

DOI: 10.1145/508791.508933

Notes: Session: Inter disciplinary approaches to the design of dependable computer systems

Library holdings: Search Newcastle University Library for this item

ISBN: 1581134452


Share