Software project dynamics: an integrated approach
Software project dynamics: an integrated approach
Software inspection process
System dynamics modeling of an inspection-based process
Proceedings of the 18th international conference on Software engineering
Process modelling and empirical studies of software evolution (workshop)
ICSE '97 Proceedings of the 19th international conference on Software engineering
An encompassing life cycle centric survey of software inspection
Journal of Systems and Software
IEEE Transactions on Software Engineering
Extend: the Extend simulation environment
Proceedings of the 32nd conference on Winter simulation
Business Dynamics
Empirical Studies Applied to Software Process Models
Empirical Software Engineering
Developments from a June 1996 seminar on Online algorithms: the state of the art
Developments from a June 1996 seminar on Online algorithms: the state of the art
Towards Systematic Knowledge Elicitation for Descriptive Software Process Modeling
PROFES '01 Proceedings of the Third International Conference on Product Focused Software Process Improvement
A software project dynamics model for process cost, schedule and risk assessment
A software project dynamics model for process cost, schedule and risk assessment
COMPSAC '95 Proceedings of the 19th International Computer Software and Applications Conference
Neural Computation
Virtual Software Engineering Laboratories in Support of Trade-off Analyses
Software Quality Control
Hi-index | 0.00 |
Organizations that develop software have recognized that software process models are particularly useful for maintaining a high standard of quality. In the last decade, simulations of software processes were used in several settings and environments. This paper gives a short overview of the benefits of software process simulation and describes the development of a discrete-event model, a technique rarely used before in that field. The model introduced in this paper captures the behavior of a detailed code inspection process. It aims at reducing the risks inherent in implementing inspection processes and techniques in the overall development process. The determination of the underlying cause-effect relations using data mining techniques and empirical data is explained. Finally, the paper gives an outlook on our future work.