Software products and projects have become more complex today owing to comprehensive product functionality, advanced architectures, and sophistication. Added to this is the increasing business and margin pressure, for which projects are now required to be accomplished within a short time span and with minimal resources. To achieve this, organizations constantly invest in state-of-the-art tools to make sure that every single stakeholder has the proper ammunition for on-time delivery of quality. However, despite this, many projects continue to fail leading the organizations to incur financial losses.
Why so? Poor visibility of proper metrics is one of the major factors behind this. With data residing in silos, generating proper metrics involving data from across various tools is a huge challenge; resulting in poor control and inaccurate decision making.
Data always speaks the truth and metrics is the voice of that data. Both data and metrics are the driving factors behind the success of any state-of-the-art practice in software engineering. Companies need metrics to better understand, track, control and predict software projects, processes, and products. Metrics serve the purpose of providing information needed by engineers for technical decisions as well as information required by mid or top-level management for business decisions. For generating meaningful and informative metrics, every stakeholder who needs to be involved in designing, implementing, collecting, and utilizing it must understand the definition and purpose of metrics.
Some of the major factors that organizations should consider for successful reporting are: