| Popis: |
Software is of increasing importance in all industries and it’s efficient creation an important factor in the success of corporations. Using the data generated during the entire software life cycle to create understanding and derive actionable insights, decisions can be made on a factual basis. One of the key requirements to making these objective decisions possible is the collection, composition, and communication of data to the correct stakeholders. To further these goals, the most complete collection of data artifacts available in the software life cycle is presented. These are abstracted to be independent of programming language, development process and toolset. As value is derived from the connection of entities, a set of possible connections is introduced as well as challenges and solutions in their creation discussed. The theoretical observations, and results are verified in the context of a large development organization with more than a thousand developers working from multiple global locations. Our results show that the combination of multiple data sources and their systematic composition are paramount to deriving value from life cycle data in large corporations. |
