Authors:
Niklas Mellegård
1
;
Miroslaw Staron
1
and
Fredrik Törner
2
Affiliations:
1
Chalmers University of Technology & University of Gothenburg, Sweden
;
2
Volvo Car Corporation, Sweden
Keyword(s):
Software Engineering, Software Quality, Metrics/Measurement, Defect Classification.
Related
Ontology
Subjects/Areas/Topics:
Applications and Software Development
;
Model Quality Assurance Techniques
;
Model-Driven Project Management
;
Model-Driven Software Development
;
Software Engineering
Abstract:
In this paper, we put forth the thesis that state-of-the-art defect classification schemes – such as ODC and IEEE Std. 1044 – have failed to meet their target; limited industrial adoption is taken as part of the evidence combined with published studies on model driven software development. Notwithstanding, a number of publications show that defect reports can provide valuable information about common, important, or dangerous problems with software products. In this paper, we present the synthesis of two industrial case studies that illustrate that even expert judgement can be deceptive; demonstrating the need for more objective evidence to allow project stakeholder to make informed decisions, and that defect classification is one effective means to that end. Finally, we propose a roadmap that will contribute to improving the defect classification approach, which in consequence will lead to a wider industrial adoption.