Organizations globally are focusing on digital transformation since they play a crucial role in revamping businesses. The first step towards modernization involves studying the underlying business rules and logic of legacy applications thoroughly. The rapidly aging legacy technology base increases risks and is also expensive to maintain. It is difficult to diagnose and address critical issues if legacy applications are not analyzed and understood. The most compelling reasons for organizations to modernize their IT landscape is the inability of legacy systems to meet dynamic business requirements, and the fact that they lack minimal business intelligence. Nevertheless, it is important to analyze application codes and extract the buried business functionality since these help in rationalizing the organization’s legacy portfolio, enabling the understanding of dependencies among components. The valuable insights gained from this kind of an analysis can be leveraged to facilitate regular maintenance related activities. It will also aid in completely re-engineering the legacy application using modern technologies. Enterprises are keen to adopt automated solutions which make extracting and documenting the underlying business logic easy since legacy code bases are voluminous and complex, and there is an increasing dearth in the availability of skilled Subject Matter Experts (SMEs).
Technical Challenges and Solutions
Incomplete understanding of business rules will have a long-term impact and adversely affect maintenance and other support activities. Some challenges will need to be addressed to reap maximum benefits from the automated solution and these include a complete understanding of the business functionality built into the legacy applications. The challenges are as follows:
Benefits of an Automated Approach
Analyzing applications to discover the transactional flow and the relationship of interdependent components can help organizations effectively manage and maintain their IT portfolio, increasing their chances of executing critical projects successfully without disrupting business operations. However, the sheer volume and complexity of legacy application codebases make manual implementation tedious and error prone. Automated product-based approach will help in generating the complete documentation of the application in the least possible amount of time, bringing down the total cost of ownership. The benefits have been mentioned below:
Paving the Path towards Digital Transformation
The insights gained by scanning the source code should be updated periodically with the latest versions. The insights stored in the repository can be synced automatically, and new reports can be generated afresh as and when required. The extracted insights from the codebase can serve as the base for organizations seeking to modernize their legacy applications. A comprehensive knowledge repository built though automation can be used to build applications in the target modern technology, in alignment with business goals.
To know more about cognitive code analysis solution for your legacy applications, contact us at firstname.lastname@example.org.