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What is eXplain?

eXplain is a powerful solution crafted by PKS Software GmbH designed for analyzing code and evaluating legacy systems, particularly focused on conducting thorough assessments of legacy applications on mainframe platforms, such as IBM i (AS/400) and IBM Z. This software provides organizations with valuable insights into the software's structure, content, and helps identify which components could be retained, upgraded, or deprecated. By allowing users to import existing source code into a dedicated "eXplain server," the tool removes the need for installations on the host system and employs advanced parsers to analyze several programming languages, including COBOL, PL/I, Assembler, Natural, RPG, and JCL. Additionally, it examines relevant information from databases like Db2, Adabas, and IMS, as well as job schedulers and transaction monitors. eXplain establishes a centralized repository that acts as a knowledge repository, generating cross-language dependency graphs, data-flow diagrams, interface evaluations, groupings of related modules, and detailed reports on resource and object utilization. This functionality enables users to visualize the interrelationships within their code, thereby deepening their comprehension of the software ecosystem. Furthermore, by providing a clearer understanding of their legacy systems, eXplain equips organizations with the tools needed to make strategic decisions about their software's future. Ultimately, the tool enhances operational efficiency and drives informed technological advancements.

What is Understand?

Understand functions as a comprehensive tool for static analysis and code understanding, allowing software developers to visualize and comprehend the complexities of large and intricate codebases, whether they consist of outdated legacy systems, critical safety applications, or contemporary multi-language projects. By analyzing the source code, it constructs an extensive "code dictionary" that documents all entities—such as files, classes, functions, and variables—while also producing essential cross-references, call trees, dependency graphs, and control-flow diagrams. Its suite of interactive and customizable visual tools, including call graphs, control flow graphs, and UML-style class diagrams, empowers users to explore the interconnections among various code components, pinpoint module dependencies, and foresee the potential consequences of alterations throughout the project. Additionally, Understand delivers a thorough assessment of various metrics at different levels—file, class, and function—such as cyclomatic complexity, total lines of code, comment-to-code ratios, and coupling/cohesion, which are crucial indicators of maintainability; these metrics can be conveniently visualized in treemaps and exported in formats like HTML or CSV. This layered methodology not only enhances the understanding of code but also facilitates significant improvements in overall software quality and maintainability, ultimately contributing to more efficient development processes and better long-term project sustainability.