Legacy Software Audit and Assessment Services

A thorough examination of the software’s programming languages, frameworks, databases, and other tools is a cornerstone for further analysis. This step helps you to:

• Understand the relevance of the current tech stack, comparing it with renewed goals and modern technologies,
• Realize technical debt and obsolete technologies posing risks or operational hurdles,
• Learn whether this tech stack can potentially handle the upcoming changes.

This evaluation will show sufficient ways to implement modern technologies in the current stack for better performance and maintainability, or completely replace it.

Often, it’s not enough to analyze the system’s basic structure in terms of modularity, scalability, and integration capabilities. We delve deeper to evaluate non-functional qualities, as their inconsistencies affect the whole system.

In particular, cooperative workshops determine and rank the system’s non-functional requirements according to the ISO/IEC 25010 standards. However, both techniques help to:

• Assess the current architecture’s resilience to accommodate upcoming additions or integrations.
• Determine if the architecture can grow with the company and adapt to its changing needs.
• Identify any bottlenecks or architectural defects that can impair flexibility or performance.

As a result, the audit addresses unique challenges posed by legacy systems and shows how potential modifications may affect the whole product.

Hardware and software environments are closely intertwined. This concerns servers, databases, networks, and cloud services — everything impacts the performance. That’s why we additionally review the following:

• Resource consumption inefficiencies and possible cost-cutting measures,
• Advantages and viability of moving to cloud infrastructure,
• Redundancy, failover, and backup strategies,
• Cloud migration feasibility (for IaaS/PaaS/SaaS),
• Infrastructure that can withstand failures and bounce back fast.

As a result, we recommend particular tactics or solutions to ease the transition when required.

Legacy software frequently has an overly large codebase that needs to be reviewed and refactored regularly. That’s why we use SonarQube, ESLint, PMD, Cyclomatic complexity tools, and custom linters to examine the software’s source code. They help to:

• Find errors and bugs in the code, as well as the room for code simplification,
• Assess the overall code’s readability and extensibility,
• Identify areas for improving code efficiency.

Incorporating these elements into a legacy modernization plan guarantees that the software will continue to be reliable, effective, and flexible enough to meet evolving requirements.

When updating historical systems, security is often a weak link in safeguarding private information and guaranteeing legal compliance. According to the ISO 27001:2022 standards, we assess whether the system complies with OWASP, CCPA, and GDPR or not, and how to make it compliant.

Following an audit, we present a viable and multi-layered action plan for enhancing security protocols, protecting your system and automating data security protocols, and preventing data leakage.

Static evaluation is not complete without a proper performance management system audit of the system under various circumstances. That’s why we use manual and automated testing:

• Load Testing: Using JMeter, k6, we determine how well the application manages large numbers of users or data,
• Stress Testing: To evaluate how well the program performs in harsh environments,

As a result, we understand which aspects should be improved to increase efficiency and speed. This ensures that your legacy software can withstand future growth upon modernization.

Old systems are difficult to combine smoothly with contemporary platforms and apps. Many outdated systems use proprietary protocols that prevent seamless data sharing. Thus, through an analysis of the data formats, middleware communication protocols, and APIs in use, the audit determines the scope of these interoperability problems.

Moreover, we evaluate your system’s cloud compatibility, pointing out obstacles and describing migration options, such as re-architecting, re-platforming, or lift-and-shift. All together determining if legacy systems should be integrated with contemporary technologies or replaced.

Legacy database systems often store large volumes of data in obsolete formats, making it difficult to derive valuable historical data for analysis. That’s why, through ETL tool assessments, schema validators, and data lineage mapping, we cover the following aspects of data management, assessing data management practices:

• Data schemas and storage formats,
• Data quality, integrity, and archival procedures,
• Database migration readiness and transformation needs
• Adherence to data governance laws during an audit.

Thus, a comprehensive approach opens the way for possible database migration and further data-driven decision-making.