Identifying microservices for a monolith application through static code analysis

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:

• perform a static code analysis to extract multiple features of a monolith application;
• identify a set of code elements based on one or more of the extracted multiple features;
• iteratively performing a clustering process to partition the set of code elements of the monolith application into multiple groups until one or more criteria associated with a set of clustering metrics are satisfied, wherein, at each iteration, a different number of code elements is removed from the set of code elements, and the clustering process is performed on the remaining code elements in the set based at least in part on the extracted multiple features and a set of clustering metrics;
• obtain at least one weight corresponding to at least one clustering metric in the set of cluster metrics;
• adjust the multiple groups based at least in part on the at least one weight;
• generate a list of candidate microservices for the monolith application, wherein each candidate microservice in the list corresponds to a different one of the adjusted multiple groups;
• and
• output the list of candidate microservices to at least one of a system and a user.

A system comprising:

• a memory configured to store program instructions;
• a processor operatively coupled to the memory to execute the program instructions to:
• perform a static code analysis to extract multiple features of a monolith application;
• identify a set of code elements based on one or more of the extracted multiple features;
• iteratively performing a clustering process to partition the set of code elements of the monolith application into multiple groups until one or more criteria associated with a set of clustering metrics are satisfied, wherein, at each iteration, a different number of code elements is removed from the set of code elements, and the clustering process is performed on the remaining code elements in the set based at least in part on the extracted multiple features and a set of clustering metrics;
• obtain at least one weight corresponding to at least one clustering metric in the set of cluster metrics;
• adjust the multiple groups based at least in part on the at least one weight;
• generate a list of candidate microservices for the monolith application, wherein each candidate microservice in the list corresponds to a different one of the adjusted multiple groups;
• and
• output the list of candidate microservices to at least one of a system and a user.