Abstract
The accurate maintainability prediction of relational database-driven software applications can improve the project management for these applications, thus benefitting software organisations. This paper presents an up-to-date account of the state of practice in maintainability prediction for relational database-driven software applications. Twelve semi-structured interviews were conducted with software professionals. The results provide both an account of the current state of practice in that area and a list of potential maintainability predictors for relational database-driven software applications.
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Riaz, M., Mendes, E., Tempero, E. (2010). Towards Maintainability Prediction for Relational Database-Driven Software Applications: Evidence from Software Practitioners. In: Kim, Th., Kim, HK., Khan, M.K., Kiumi, A., Fang, Wc., Ślęzak, D. (eds) Advances in Software Engineering. ASEA 2010. Communications in Computer and Information Science, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17578-7_12
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DOI: https://doi.org/10.1007/978-3-642-17578-7_12
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