Empirical-based recovery and maintenance of input error-correction features
Journal of Software Maintenance and Evolution: Research and Practice
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In an information system, inputs are submitted to the system from its external environment. However, many input errors cannot be detected automatically and therefore result in errors in the effects raised by the system. Hence, the provision of input error correction features to correct these erroneous effects is critical. The recovery and maintenance of these features are complex and tedious. We have discovered some interesting control flow graph properties with regard to input errors and the implementation of their correction features. This paper proposes a method for the automated recovery of after-effect input error correction features from these properties. Based on the recovered information, we further propose a method to aid the maintenance of these features using decomposition slicing. All the empirical properties have been validated statistically. The approach has also been evaluated through some case studies.