Shrestha, Anup (2018) Towards a taxonomy of process quality characteristics for assessment. In: 18th International Conference on Software Process Improvement and Capability Determination (SPICE 2018), 9-10 Oct 2018, Thessaloniki, Greece.
Abstract
Previous assessment of process quality have focused on process capability (i.e. the ability of a process to meet its stated goals). This paper proposes a taxonomy of alternative process quality characteristics based on intrinsic and extrinsic quality attributes. The ultimate goal of this taxonomy is to provide a framework to conduct process assessments using different process quality aspects. Such a framework would considerably broaden process quality perspectives beyond the primary measure of process capability. It would also allow practitioners to identify and evaluate relevant quality characteristics for processes based on specific contexts and implications. For the process assessment model developers, it offers a list of process quality characteristics that could be used to develop relevant process measurement frameworks.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Accepted version embargoed until 1 November 2019 (12 months), in accordance with the copyright policy of the publisher. |
| Faculty/School / Institute/Centre: | Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise |
| Date Deposited: | 30 Oct 2018 05:43 |
| Last Modified: | 11 Feb 2019 05:27 |
| Uncontrolled Keywords: | process assessment, process quality characteristic, process measurement framework, taxonomy, process quality |
| Fields of Research : | 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified 08 Information and Computing Sciences > 0806 Information Systems > 080611 Information Systems Theory |
| Socio-Economic Objective: | E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences |
| Identification Number or DOI: | 10.1007/978-3-030-00623-5_4 |
| URI: | http://eprints.usq.edu.au/id/eprint/34976 |
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