An Analytical Approach for Project Managers in Effective Defect Management in Software Process
This addresses a gap in empirical techniques for project managers in software industries to improve defect management, though it appears incremental as it builds on existing concepts without introducing new methods.
This paper tackles the problem of evaluating project managers' decision capability in resource allocation for defect management through an empirical study in a software organization, finding that predictive positioning in resource allocation enhances software quality and company maturity.
Defect estimation and prediction are some of the main modulating factors for the success of software projects in any software industry. Maturity and competency of a project manager in efficient prediction and estimation of resource capabilities are one of the strategic driving forces towards the generation of high quality software. Currently, there are no estimation techniques developed through empirical analysis to evaluate the decision capability of a project manager towards resource allocation for effective defect management. This paper brings out an empirical study carried out in a product based software organization. Our deep investigation on several projects throws light on the impact of decision capability of project manager towards accomplishment of an aforementioned objective. The paper enables project managers to gain further awareness towards the significance of predictive positioning in resource allocation in order to develop high quality defect-free software products. It also enhances the maturity level of the company and its persistence in the competitive atmosphere.