{"id":{"repo_id":"massey","oai_identifier":"oai:mro.massey.ac.nz:10179/12509"},"canonical_url":"https://search.dev.ndltd.org/etd/massey/oai:mro.massey.ac.nz:10179/12509","repository":{"repo_id":"massey","name":"Massey University","base_url":"https://mro.massey.ac.nz/server/oai/request"},"display":{"title":"Expressing business rules : a fact based approach : a thesis presented in partial fulfilment of the requirements for the degree of Master of Philosophy in Information Systems at Massey University, Palmerston North, New Zealand","abstract":"Numerous industry surveys have suggested that many IT projects still end in failure. Incomplete, ambiguous and inaccurate specifications are cited as a major causal factor. Traditional techniques for specifying data requirements often lack the expressiveness with which to model subtle but common features within organisations. As a consequence, categories of business rules that determine the structure and behaviour of organisations may not be captured until the latter stages of the systems development lifecycle. A fact-based technique called Object Role Modelling (ORM) has been investigated as an altemative approach for specifying data requirements. The technique's ability to capture and represent a wide range of data requirements rigorously, but still in a form comprehensible to business people, could provide a powerful tool for analysts. In this report, ORM constructs have been synthesised with the concepts and definitions provided by the Business Rules Group (BRG), who have produced a detailed taxonomy of business rule categories. In doing so, business rules discovered in an organisation can be expressed in a form that is meaningful to both analysts and business people. Exploiting the expressive simplicity of a conceptual modelling technique to articulate an organisation's business rules could help to fill a significant requirements gap.","abstract_html":"Numerous industry surveys have suggested that many IT projects still end in failure. Incomplete, ambiguous and inaccurate specifications are cited as a major causal factor. Traditional techniques for specifying data requirements often lack the expressiveness with which to model subtle but common features within organisations. As a consequence, categories of business rules that determine the structure and behaviour of organisations may not be captured until the latter stages of the systems development lifecycle. A fact-based technique called Object Role Modelling (ORM) has been investigated as an altemative approach for specifying data requirements. The technique's ability to capture and represent a wide range of data requirements rigorously, but still in a form comprehensible to business people, could provide a powerful tool for analysts. In this report, ORM constructs have been synthesised with the concepts and definitions provided by the Business Rules Group (BRG), who have produced a detailed taxonomy of business rule categories. In doing so, business rules discovered in an organisation can be expressed in a form that is meaningful to both analysts and business people. Exploiting the expressive simplicity of a conceptual modelling technique to articulate an organisation's business rules could help to fill a significant requirements gap.","abstract_has_math":false,"creators":["Hargreaves, Adrian John"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2004,"date_issued":"2004","date_published":"2004","updated_at":"2026-07-27T20:17:14Z","subjects":["Management information systems","System design"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:10179/12509"],"render_values":[{"text":"hdl:10179/12509","href":null,"code":true}]}]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2004"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Management information systems","System design"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:10179/12509"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.other","label":"Dc Description Other","values":["Numerous industry surveys have suggested that many IT projects still end in failure. Incomplete, ambiguous and inaccurate specifications are cited as a major causal factor. Traditional techniques for specifying data requirements often lack the expressiveness with which to model subtle but common features within organisations. As a consequence, categories of business rules that determine the structure and behaviour of organisations may not be captured until the latter stages of the systems development lifecycle. A fact-based technique called Object Role Modelling (ORM) has been investigated as an altemative approach for specifying data requirements. The technique's ability to capture and represent a wide range of data requirements rigorously, but still in a form comprehensible to business people, could provide a powerful tool for analysts. In this report, ORM constructs have been synthesised with the concepts and definitions provided by the Business Rules Group (BRG), who have produced a detailed taxonomy of business rule categories. In doing so, business rules discovered in an organisation can be expressed in a form that is meaningful to both analysts and business people. Exploiting the expressive simplicity of a conceptual modelling technique to articulate an organisation's business rules could help to fill a significant requirements gap."]},{"key":"dc:title","label":"Title","values":["Expressing business rules : a fact based approach : a thesis presented in partial fulfilment of the requirements for the degree of Master of Philosophy in Information Systems at Massey University, Palmerston North, New Zealand"]}]}],"canonical_facts":{"dc:date.issued":["2004"],"dc:description.other":["Numerous industry surveys have suggested that many IT projects still end in failure. Incomplete, ambiguous and inaccurate specifications are cited as a major causal factor. Traditional techniques for specifying data requirements often lack the expressiveness with which to model subtle but common features within organisations. 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Exploiting the expressive simplicity of a conceptual modelling technique to articulate an organisation's business rules could help to fill a significant requirements gap."],"dc:identifier":["hdl:10179/12509"],"dc:subject":["Management information systems","System design"],"dc:title":["Expressing business rules : a fact based approach : a thesis presented in partial fulfilment of the requirements for the degree of Master of Philosophy in Information Systems at Massey University, Palmerston North, New Zealand"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T20:17:14Z"}