Requirement analysis evolution through patterns
Vetti Tagliati, L. and Johnson, R. and Roussos, George (2007) Requirement analysis evolution through patterns. In: UNSPECIFIED (ed.) SEKE 2007: Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering. Knowledge Systems Institute Graduate School, pp. 197-202.
Abstract
This paper presents a strategy, based on requirement patterns (RP), aimed at improving the requirement analysis discipline by allowing busines s analysts (BA) to produce more reliable SW requirements in a significantly shorter time, minimising the overall requirement risks. In numer ous business organisations, IT systems are increasing t heir strategic significance. In extremely competitive environments, such as investment banking -where thi s methodology has been tested- modern and advanced IT systems can enable the organisation to obtain and t o maintain a predominant position in the market, whic h in turn results in a greater ROI. Regrettably a number of academic and industrial studies depict a catastrophic picture about SW projects: most of them are likely to fail and, logically, the probability of failure grows with the size of t he project. The project failure factor varies within a range of 50% - 70%. Furthermore, such studies clearly show that requirements is the area where th e major risks reside. The proposed strategy is based on the introduction of elegant, well-proven, technolog y- agnostic, architecturally-compatible, simple and reusable patterns that, focusing on the functional requirements, expand on other requirement analysis artefacts such as domain object model (DOM), business rules (BR), user interface (UI) and glossary.
Metadata
| Item Type: | Book Section |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Sarah Hall |
| Date Deposited: | 11 Oct 2021 15:21 |
| Last Modified: | 09 Aug 2023 12:52 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/46256 |
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