Seerene - Managing Software Products Successfully

The Seerene platform considers all stages of a typical software development production pipeline, including coding, code reviews, testing, deployment and operations. Once connected to your software project, the Seerene platform automatically collects data about source code, source code repositories, software development tools, ticket and bug management systems and other sources of software project data. As a unique feature, the Seerene platform sees code and people together as key dimensions of system development and evolution.

Migrating Legacy Code Accurately

Legacy software often consumes large companies’ budgets without providing the reliability and flexibility needed in the digital world. For this reason, migrating legacy software is common within digital transformation processes (e.g., SAP S/4 HANA migrations). Migration involves many stages, many of which involve decisions over complex matters: which applications should be migrated first, how to assess risks and efforts, etc. Seerene provides precise, data-driven analysis for all migration processes of legacy systems.

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Evaluating Software Assets during Due Diligence

Seerene provides powerful instruments for you to evaluate and document the various software-related assets during a typical due diligence process accurately and objectively. At the cut-off date, such important appendices can be created automatically and legally bound into contracts. Seerene's platform not only reveals the as-is state of the code base, but also documents the system's evolution and analyzes the contributions made by software developer teams.

Software Forensics

When it comes to critical situations during the execution of a software project, software forensics help to clarify technical and team-related issues. Seerene's software analytics can go back into the project's history, mining and analyzing all the information found in software repositories. This way, it provides an objective view of the past to explain the present and to outline options for the future.

AI-Assisted Software Management

AI radically reinterprets data about software; source code is considered a kind of human expression that leads to artificial artefacts. In this frame, AI, machine learning and deep learning can be very powerful, helping to compute effective quality metrics in source code that surpass all past approaches. AI helps predict efforts and risks based on past knowledge of the software development history of a single company.

Digital Boardroom for Software Management

Provide decision-makers with real-time, understandable, objective insights into software development processes and activities. With the Seerene Digital Boardroom for Software Management, software development is monitored, analyzed, evaluated and documented. Close the gap between the world of software experts and the world of C-level management. Transform steering meetings with unique map-based access to the non-tangible, complex data about software systems and software development processes, bringing a better consensus and outcome.

Seerene’s software analytics platform works across all application domains, offering a non-disruptive tool set for improving the software-development management for organizations, great and small. It isn't restricted to specific software methodology, programming languages, software frameworks, or IDEs. Seerene’s analytics can be customized to the specific needs, rules, and customs of software development found in a company. Seerene’s platform can be integrated in any software development landscape with a seamless, step-by-step process.

Embedded Software

Seerene works with clients in sectors like the automotive industry to help them work with their embedded software development spaces. Precise analytics filter to the relevant code and integrate with precompiled directives, metrics for code and software development and end-to-end visibility, helping teams make informed decisions and achieve quality milestones.

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