Please use this identifier to cite or link to this item:
|Title:||A Vector-Based Approach to Software Size Measurement and Effort Estimation||Contributor(s):||Hastings, TE (author); Sajeev, A (author)||Publication Date:||2001||DOI:||10.1109/32.917523||Handle Link:||https://hdl.handle.net/1959.11/908||Abstract:||Software size is a fundamental product measure that can be used for assessment, prediction and improvement purposes. However, existing software size measures, such as function points, do not address the underlying problem complexity of software systems adequately. This can result in disproportional measures of software size for different types of systems. We propose a vector size measure (VSM) that incorporates both functionality and problem complexity in a balanced and orthogonal manner. The VSM is used as the input to a vector prediction model (VPM) which can be used to estimate development effort early in the software life-cycle. We theoretically validate the approach against a formal framework. We also empirically validate the approach with a pilot study. The results indicate that the approach provides a mechanism to measure the size of software systems, classify software systems, and estimate development effort early in the software life-cycle to within ±20% across a range of application types.||Publication Type:||Journal Article||Source of Publication:||IEEE Transactions on Software Engineering, 27(4), p. 337-350||Publisher:||IEEE Computer Society||Place of Publication:||Los Alamitos||ISSN:||0098-5589||Field of Research (FOR):||080309 Software Engineering||Peer Reviewed:||Yes||HERDC Category Description:||C1 Refereed Article in a Scholarly Journal||Statistics to Oct 2018:||Visitors: 121
|Appears in Collections:||Journal Article|
School of Science and Technology
Files in This Item:
checked on Nov 26, 2018
checked on Mar 5, 2019
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.