Revision with unchanged content. Since 2002, over 10% of total cyber
vulnerabilities were SQL injection vulnerabilities (SQLIVs). Since most
developers are not experienced software security practitioners, a
solution for correctly removing SQLIVs that does not require security
expertise is desirable. In this paper, an automated fix generation
algorithm for removing SQLIVs by replacing SQL statements with prepared
SQL statements is described. Automated fix generation is a type of
automated code generation that analyzes project artifacts containing
faults and uses the analysis to generate fault free alternative or
replacement code. Prepared SQL statements have a static structure and
take type-specific input parameters, which prevents SQL injection attack
input from changing the structure and logic of a statement. The
automated fix algorithm is evolved over the course of preparing for and
analyzing the results of four formative and evaluative case studies.