After 50 years of "software crisis", Seerene is the first to enable companies to manage, control, and optimize their end-to-end software management –a complex industrial manufacturing process– and deliver reliable, dependable, and affordable software systems on a consistent basis.
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Seerene reveals risks across the whole IT landscape by helping all responsible understand the key risk factors at all stages, and by giving them the information that they need to manage risks throughout all phases of the software manufacturing process appropriately.
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Seerene keeps track of a wide range of technical characteristics such as source code metrics and non-technical characteristics such as development activities to help visualize, evaluate, and document the quality and maturity of software product releases.
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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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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.
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 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.
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.
Customers have turned to Seerene to optimize their software delivery for SAP, with whom we maintain a co-innovation partnership and assist with their internal process. We give support to SAP customers with the three key areas of securing high volumes of releases, migrating to SAP S/4HANA and assessing vendor performance.
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Tackle the challenges of adopting Agile structures for your company with Seerene, which gives you information about your codebase and coding activity that tells you where to make adjustments and smart investments that accelerate your company's adoption of an Agile structure.
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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.
Learn More →"By applying a data-driven approach to software engineering, we constantly operate in the sweet spot of quality and productivity."
Frank Bieser
Head of Development and Sourcing, S IT Solutions (Member of Erste Group)
Speaking at the HPI NY Colloquium 2019, Prof. Jürgen Döllner gives an overview of Software Engineering and Software Analytics. Moving through the question of how we might manage complex software systems he asks what it means to manage, and how we might define complexity.
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In view of the huge computational power offered by Artificial Intelligence, Prof. Jürgen Döllner discusses how the new technology might transform the business world.
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As a significant part of a company’s reputation is based on the quality of the software that is shipped or deployed to production, release managers or quality managers bear the responsibility of ensuring that bad quality doesn’t have a negative impact.
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