Abstract
Test automation is widely used in different practices all over the world often to save time or to reduce manual effort. However, regression analysis consists of mundane tasks that are performed by software engineers on a daily basis. Automation of a regression analysis raises our hopes by promising a reduction in time and effort, yet at the same time it continues to create as many problems as it has solved. Thus the solution has to take into account the limitations of automation yet reap the maximum benefits. This paper will focus on: The paradigm to be followed while developing automation and the Advantages and Limitations that accompany the process of automating regressions.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Abhishek, K., Kumar, P., Sharad, T. (2012). Automation of Regression Analysis: Methodology and Approach. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_48
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DOI: https://doi.org/10.1007/978-3-642-30157-5_48
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