Adapting Bloom's Taxonomy for an Agile Classification of the Complexity of the User Stories in SCRUM

Abstract

The agile development of Software in companies is increasing because it allows them to reduce costs when producing products and providing services. To do that, agile methodologies are required in which there is a way to identify, from the beginning of the project, the Software requirements and its complexity to make an estimate of the time required for the development of the project. SCRUM, considered a framework, is among the agile methodologies most adopted by companies. The concept of Software requirement translated into SCRUM as User Stories (US). A crucial part for the success of the project is to estimate in each iteration the complexity and time that US requires to its realization. Obtaining this information from each user story allows the development team to estimate the total time that will be required to finish the project. In practice and since human resources need to be considered to meet the requirements of knowledge, experience and skills demanded by the user story for its achievement, this activity is still time consuming and generates poor estimates. In this work, we propose the use of a new version adapted from the Blooms taxonomy, coupled to the life cycle of the Software Development, seeking agilely to classify the complexity of US and to identify the stage in the life cycle of the Software Development to which it corresponds.