Practical software metrics for project management and process improvement
Practical software metrics for project management and process improvement
Orthogonal Defect Classification-A Concept for In-Process Measurements
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Global software teams: collaborating across borders and time zones
Global software teams: collaborating across borders and time zones
Improving validation activities in a global software development
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Software Engineering Economics
Software Engineering Economics
Software Quality in Consumer Electronics Products
IEEE Software
Learning from Our Mistakes with Defect Causal Analysis
IEEE Software
Guest Editors' Introduction: Global Software Development
IEEE Software
Surviving Global Software Development
IEEE Software
Collaboration Flow Management: A New Paradigm for Virtual Team Support
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Assessing the Cost-Effectiveness of Inspections by Combining Project Data and Expert Opinion
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
A Ranking of Software Engineering Measures Based on Expert Opinion
IEEE Transactions on Software Engineering
Experiences with defect prevention
IBM Systems Journal
A systematic literature review to identify and classify software requirement errors
Information and Software Technology
Perceived causes of software project failures - An analysis of their relationships
Information and Software Technology
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This paper explores the effects of virtual development on product quality, from the viewpoint of 'conformance to specifications'. Virtual Development refers to the development of products by teams distributed across space, time, and organization boundaries (hence virtual teams). Specifically, causes of defect injection and non- or late-detection are explored. Because of the practical difficulties of obtaining hard project-specific defect data, an approach was taken that relied upon accumulated expert knowledge. The accumulated expert knowledge based approach was found to be a practical alternative to an in-depth defect causal analysis on a per-project basis. Defect injection causes are concentrated in the Requirements Specification phases. Thus defect dispersion is likely to increase, as requirements specifications are input for derived requirements specifications in multiple, related sub-projects. Similarly, a concentration of causes for the non- or late-detection of defects was found in the Integration Test phases. Virtual development increases the likelihood of defects in the end product because of the increased likelihood of defect dispersion, because of new virtual development related defect causes, and because causes already existing in co-located development are more likely to occur. The findings are important for virtual development environments and (1) allow further research focusing on a framework for lowering residual defects, and (2) give insights that can be used immediately by practitioners to devise strategies for lowering residual defects.