Applying Game Theory to the Incremental Funding Method in Software Projects

Game theory has been successfully used to ana- lyze situations in several areas, such as economics, politics, sociology and biology. The Incremental Funding Method (IFM) is a well known technique for optimizing the financial return of software projects under monopolistic conditions. This paper presents a new approach for the maximization of software projects' financial returns under duopolistic situations, based on the application of game theory concepts to the IFM. It provides decision makers with policies, which demonstrate how and when the product, divided into modules, should be developed and launched in order to maximize return on investment of a project.

[1]  Vibha Sazawal,et al.  Modeling Software Evolution with Game Theory , 2009, ICSP.

[2]  Rory O'Connor,et al.  A software process engineering approach to improving software team productivity using socioeconomic mechanism design , 2011, SOEN.

[3]  J. Neumann,et al.  Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[4]  E. Gal‐Or,et al.  First Mover and Second Mover Advantages , 1985 .

[5]  J. Nash NON-COOPERATIVE GAMES , 1951, Classics in Game Theory.

[6]  H. Levy Stochastic Dominance: Investment Decision Making under Uncertainty , 2010 .

[7]  Ariel Rubinstein,et al.  A Course in Game Theory , 1995 .

[8]  R. Pressman Software Engineering: a Practioner''s approach , 1987 .

[9]  Jane Cleland-Huang,et al.  Software by Numbers - Low-Risk, High-Return Development , 2003 .

[10]  K. Moorthy Using Game Theory to Model Competition , 1985 .

[11]  Yoav Shoham,et al.  Essentials of game theory , 2008 .

[12]  Alexandre L. Correa,et al.  On the Merits and Pitfalls of the Incremental Funding Method and Its Software Project Scheduling Algorithms , 2012 .

[13]  Mark Grechanik,et al.  Analyzing software development as a noncooperative game , 2004, ICSE 2004.

[14]  Graham Romp Game Theory: Introduction and Applications , 1997 .

[15]  Erik Demeulemeester,et al.  Resource-constrained project scheduling: A survey of recent developments , 1998, Comput. Oper. Res..

[16]  Andrew McLennan,et al.  Gambit: Software Tools for Game Theory , 2006 .

[17]  John J. Sviokla,et al.  How platform leaders win , 2011 .

[18]  J. Neumann,et al.  Prisoner's Dilemma , 1993 .