Software has laid a strong influence on all occupations. The key challenge of an IT industry is to engineer a software product with minimum post deployment defects. Software Engineering approaches help engineers to develop quality software within the scheduled time, cost, and resources in a systematic manner. In order to incorporate effective defect management strategies using software engineering discipline needs a complete and widespread knowledge of various aspects of defects. The position of this paper is to provide a pattern analysis of post production defects based on empirical observations made on several main frame projects developed in one of the leading software industries. Inferences thus obtained from this investigation indicate the existence of show stopper severity defects and their associated root cause. This awareness enables the developing team to reduce the residual defects and improve the pre production quality. It further aids the attainment of total customer satisfaction.
CITATION STYLE
Harekal, D., Rao, J. J., & Suma, V. (2015). Pattern analysis of post production defects in software industry. In Advances in Intelligent Systems and Computing (Vol. 328, pp. 667–671). Springer Verlag. https://doi.org/10.1007/978-3-319-12012-6_74
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