Software is always evolving in features, components, subsystems, or architecture, while qualities such as reliability and correctness must be maintained. Seerene’s platform with its AI-based and data-driven technology provides features to monitor, understand, and control software evolution.
Companies focused on growth often fail due to inefficient software development and software management. In these cases, an estimated 80% of the potential is lost.
Software development does not scale linearly with the number of software developers, and development capacity is a scarce resource. Software analytics help you to handle this resource by, for example, analyzing how software development teams should best fit together.
Bug and defect fixing consume large part of development capacities–time that could otherwise be spent designing and implementing new software features. Knowing and monitoring the causes of bugs and defects by software analytics helps to fix them before they have any significant impact, and enables us to focus more on innovation.
Testing often suffers from non-optimal test cases. Software analytics show the relevant hotspots for software testing at-a-glance, and help to plan test strategies.
The hiring of external developers and the rapid scaling of the delivery organization carries substantial risks and challenges. Seerene’s software analytics provide insights into developer expertise and knowledge distribution, thereby supporting decisions over human resources in software development.