The influence of organizational structure on software quality
@article{Nagappan2008TheIO, title={The influence of organizational structure on software quality}, author={N. Nagappan and B. Murphy and V. Basili}, journal={2008 ACM/IEEE 30th International Conference on Software Engineering}, year={2008}, pages={521-530} }
Often software systems are developed by organizations consisting of many teams of individuals working together. Brooks states in the Mythical Man Month book that product quality is strongly affected by organization structure. Unfortunately there has been little empirical evidence to date to substantiate this assertion. In this paper we present a metric scheme to quantify organizational complexity, in relation to the product development process to identify if the metrics impact failure-proneness… CONTINUE READING
Supplemental Presentations
Presentation Slides
The influence of organizational structure on software quality
358 Citations
Organizational volatility and its effects on software defects
- Computer Science
- FSE '10
- 2010
- 89
- Highly Influenced
- PDF
Merits of Organizational Metrics in Defect Prediction: An Industrial Replication
- Computer Science
- 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering
- 2015
- 16
- Highly Influenced
- PDF
Effects of Organizational Changes on Product Metrics and Defects
- Computer Science
- 2013 20th Asia-Pacific Software Engineering Conference (APSEC)
- 2013
- 13
- PDF
The impact of developer team sizes on the structural attributes of software
- Engineering, Computer Science
- IWPSE
- 2015
- 1
- PDF
The impact of test ownership and team structure on the reliability and effectiveness of quality test runs
- Engineering, Computer Science
- ESEM '14
- 2014
- 10
- PDF
Coordination Breakdowns and Their Impact on Development Productivity and Software Failures
- Computer Science
- IEEE Transactions on Software Engineering
- 2013
- 99
- PDF
Software Dependencies, Work Dependencies, and Their Impact on Failures
- Computer Science
- IEEE Transactions on Software Engineering
- 2009
- 234
- Highly Influenced
- PDF
Measuring and Visualizing Code Stability -- A Case Study at Three Companies
- Engineering, Computer Science
- 2013 Joint Conference of the 23rd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement
- 2013
- 35
- PDF
Factors impacting rapid releases: an industrial case study
- Engineering, Computer Science
- ESEM '14
- 2014
- 11
- PDF
References
An empirical evaluation of fault-proneness models
- Proceedings of the 24th International Conference on Software Engineering. ICSE 2002
- 2002
- 56
- Highly Influential