Optimum software release policy with random life cycle

1990 ◽  
Vol 39 (2) ◽  
pp. 167-170 ◽  
Author(s):  
W.Y. Yun ◽  
D.S. Bai
Keyword(s):  
Life Cycle ◽  
Release Policy ◽  
Software Release

NASH EQUILIBRIUM STRATEGIES REVISITED IN SOFTWARE RELEASE GAMES

2020 ◽  
pp. 1-21
Author(s):  
Yasuhiro Saito ◽  
Tadashi Dohi
Keyword(s):  
Nash Equilibrium ◽  
Optimization Theory ◽  
Applied Probability ◽  
Equilibrium Strategies ◽  
Release Policy ◽  
Software Release ◽  
Nash Equilibrium Strategies ◽  
Person Game

A software release game was formulated by Zeephongsekul and Chiera [Zeephongsekul, P. & Chiera, C. (1995). Optimal software release policy based on a two-person game of timing. Journal of Applied Probability 32: 470–481] and was reconsidered by Dohi et al. [Dohi, T., Teraoka, Y., & Osaki, S. (2000). Software release games. Journal of Optimization Theory and Applications 105(2): 325–346] in a framework of two-person nonzero-sum games. In this paper, we further point out the faults in the above literature and revisit the Nash equilibrium strategies in the software release games from the viewpoints of both silent and noisy type of games. It is shown that the Nash equilibrium strategies in the silent and noisy of software release games exist under some parametric conditions.

A Simulation Based Approach for Software Release and Support Management

2008 ◽  
Vol 4 (4) ◽  
pp. 124-128
Author(s):  
Vikram Singh
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Life Cycle Cost ◽  
Project Managers ◽  
Software Project ◽  
Market Place ◽  
Software Life Cycle ◽  
Simulation Based ◽  
Software Product ◽  
Software Release

Deciding when to stop testing and deliver or release a software product in the competitive market place, is an important decision in software project management. Software tools are available in the market for backing the decisions of project managers with regards to software release. Also, software development houses may need to know “for how long should they support and maintain their software product after release?” A few tools are available that take into account the software product support activities that go beyond software release while computing and optimizing software life cycle cost. A simulation based approach has been devised for helping Software Project Managers in deciding: 1) How long to test software? 2) How long to provide free support to the product? 3) When to withdraw the product support?

Postrelease Testing and Software Release Policy for Enterprise-Level Systems

2012 ◽  
Vol 23 (3-part-1) ◽  
pp. 635-657 ◽  
Author(s):  
Zhengrui Jiang ◽  
Sumit Sarkar ◽  
Varghese S. Jacob
Keyword(s):  
Release Policy ◽  
Software Release ◽  
Enterprise Level

Optimal software release policy with a learning factor for imperfect debugging

1993 ◽  
Vol 33 (1) ◽  
pp. 81-86 ◽  
Author(s):  
Guolin Xia ◽  
Panlop Zeephongsekul ◽  
Santosh Kumar
Keyword(s):  
Imperfect Debugging ◽  
Learning Factor ◽  
Release Policy ◽  
Software Release

Optimal software release policy based on a two-person game of timing

1995 ◽  
Vol 32 (02) ◽  
pp. 470-481 ◽  
Author(s):  
P. Zeephongsekul ◽  
C. Chiera
Keyword(s):  
Growth Models ◽  
Homogeneous Poisson Process ◽  
Nash Equilibrium Point ◽  
Release Policy ◽  
Software Release ◽  
Software Reliability Growth ◽  
Person Game ◽  
Non Homogeneous Poisson Process ◽  
Cost Factors ◽  
Optimal Release Policy

This paper presents a software release policy based on a two-person game of timing. Existing release policies depend solely on cost factors and ignore the element of competition between rival producers, whereas in our policy both of these factors are taken into consideration. Through a series of preliminary results, it is shown that an optimal release policy exists as a Nash equilibrium point in the space of mixed strategies. We also present numerical examples of this optimal policy applied to software reliability growth models which are based on the non-homogeneous Poisson process.

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