Simulations for very early lifecycle quality evaluations

Abstract

Chung et al. have proposed a graphical model that captures the interdependencies between design alternatives in terms of synergy and trade-offs. This model can assist in identifying quality/risk trade-offs early in the lifecycle of software development, such as architectural design and testing process choices. The Chung et al. method is an analysis framework only: their technique does not include an execution or analysis module. This paper presents a simulation tool developed to analyze such a model, and techniques to facilitate decision making by reducing the space of options worth considering. Our techniques combine Monte Carlo simulations to generate options with a machine learner to determine which option yields the most/least favorable outcome. Experiments based on the above methodology were performed on two case studies, and the results showed that treatment learning successfully pinpointed the key attributes among uncertainties in our test domains.

Optimizing requirements decisions with keys

“…The data miner used on DDP was the TAR2 and TAR3 treatment learners [7,8,14,15,17,19,23,25]. The premise of treatment learning is that within the space of possible decisions, there exist a small number of key decisions that determine all others.…”

A systematic literature review on the industrial use of software process simulation

“…the simulation of maintenance process [81]. The second may also hold true as 21% of the studies either simulated a process at NASA or used their data to calibrate the model [63,64,65,66,67,68,115,114,126,128,107,84,85] since they had a strong tradition of measurements.…”

“…Furthermore, improvements have been evaluated by varying a number of parameters in the process to determine the best alternatives one ought to strive for (cf. [144,96,107]), as well as investigating specific technology adoptions to the [76], or use of different quality assurance approaches or architectural styles [84]. Training and Learning: In training and learning the majority of the studies aimed to explore or understand a phenomena from a scientific point of view to provide some recommendations and guidelines to practitioners (cf.…”

Rail Transport into the Network under Fault Propagation Delay Mechanism and Dissipative Control Method

“…Current urban rail transport in China has entered a period of rapid development, and many major cities' rail transport system is gradually moving in the direction of the development of the network, the network process, along with a lot of new technology, new equipment intensive put into use, operation and management methods multi-line integrated operation management to change the direction of the formation of rail transportation network operation situation [1][2]. However, to achieve this leap and change at the same time, domestic and international rail traffic as emergency dispatch policy mistakes led to major security incidents has become increasingly prominent: on February 18, 2003, Daegu subway fire accident resulted in 198 deaths, and 146 people were injured, resulting in property losses of up to 4.7 billion won; on December 22, 2009, Shanghai train collision accident led to the surrounding road traffic paralyzed, 105 buses transported six hours before the evacuation even lag passengers; on September 27, 2011, Shanghai train rear-end accident resulted in 260 injured.…”