Software quality improvement: a model based on managing factors impacting software quality

Abstract

Software quality is recognized as being very significant for achieving competitiveness in the software industry, so improvements in this area are gaining increasing importance. Software quality improvements can only be achieved by managing all of the factors that influence it. However, in a real business system, there are a great number of factors impacting software quality, while the processes are stochastic and resources are limited, so economic data should also be taken into consideration. This paper uses a Markov chain and proposes a systematic framework for modelling the stochastic processes of a quality management system and selection of the optimum set of factors impacting software quality. A methodology is presented for managing the factors that affect software quality with an illustrative hypothetical example for convenience of application of the proposed methodology.