Quantitative Modeling for Incremental Software Process Control

A software development process modeling framework is constructed under the formalism of state modeling. The approach interconnects instances of a general development-activity model into a composite system. Simulation results are presented, and implications for control-theoretic decision support are briefly discussed.

[1]  Raymond A. DeCarlo,et al.  Software release control using defect based quality estimation , 2004, 15th International Symposium on Software Reliability Engineering.

[2]  V. Volterra Variations and Fluctuations of the Number of Individuals in Animal Species living together , 1928 .

[3]  S. Liberty,et al.  Linear Systems , 2010, Scientific Parallel Computing.

[4]  R. F.,et al.  Statistical Method from the Viewpoint of Quality Control , 1940, Nature.

[5]  Thomas Kailath,et al.  Linear Systems , 1980 .

[6]  Walt Scacchi,et al.  Process Models in Software Engineering , 2001 .

[7]  Raymond A. DeCarlo,et al.  Modeling and control of the incremental software test process , 2004, Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004..

[8]  Paolo Donzelli,et al.  Decision support system for software project management , 2006, IEEE Software.

[9]  Ellis Horowitz,et al.  Software Cost Estimation with COCOMO II , 2000 .

[10]  David Raffo,et al.  A model of the software development process using both continuous and discrete models , 2000 .

[11]  Raymond A. DeCarlo,et al.  A software cybernetic approach to control of the software system test phase , 2005, 29th Annual International Computer Software and Applications Conference (COMPSAC'05).

[12]  M. Csíkszentmihályi Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990. , 1990 .

[13]  David Raffo,et al.  Application of a hybrid process simulation model to a software development project , 2001, J. Syst. Softw..

[14]  Kai-Yuan Cai,et al.  Partition testing with dynamic partitioning , 2005, 29th Annual International Computer Software and Applications Conference (COMPSAC'05).

[15]  Kai-Yuan Cai,et al.  An Overview of Software Cybernetics , 2003, STEP.

[16]  Raymond A. DeCarlo,et al.  DIG: a tool for software process data extraction and grooming , 2005, 29th Annual International Computer Software and Applications Conference (COMPSAC'05).

[17]  David N. Card Statistical process control for software? , 1994, IEEE Software.

[18]  Raymond A. DeCarlo,et al.  A control-theoretic approach to the management of the software system test phase , 2006, J. Syst. Softw..