QPLAN: Decision support for evaluating planning quality in software development projects

Date published

2017-02-20

Free to read from

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Department

Type

Article

ISSN

0167-9236

Format

Citation

Marco Antônio Amaral Féris, Ofer Zwikael, Shirley Gregor, QPLAN: Decision support for evaluating planning quality in software development projects, Decision Support Systems, Vol. 96, April 2017, pp. 92-102

Abstract

Decisions about whether or not to approve a project plan for execution are critical. A decision to continue with a bad plan may lead to a failed project, whereas requesting unnecessary additional planning for an already high-quality plan may be counterproductive. However, these decisions can be influenced by psychological biases, such as the endowment effect, optimism bias and ambiguity effect, which are enhanced when uncertainty is substantial and information incomplete. As a result, a non-biased model for evaluating the quality of project planning is important to improve planning approval decisions and resource allocation. This paper introduces a novel artifact (QPLAN) that evaluates and improves planning quality, and a case study to demonstrate its effectiveness within a business environment.

Description

Software Description

Software Language

Github

Keywords

Decision support tool, Dual process theory, Planning quality, Software projects, Planning-performance theory

DOI

Rights

Attribution-NonCommercial-NoDerivatives 3.0

Relationships

Relationships

Supplements

Funder/s