Open Issues Need Help
View All on GitHubAI Summary: The task is to review the provided evidence from the Entity-Relationship (ER) process of the Touristeer project. The evidence shows only partial completion (Prioritization using MoSCoW, high-fidelity prototypes, user stories, acceptance criteria, and a requirements backlog). The missing parts of the ER process need to be identified and addressed, along with clarifying the timeline of the completed activities.
AI Summary: The task requires evaluating whether the provided evidence (prototyping) sufficiently demonstrates the execution of the ESW (presumably Evolutionary Software Development) process. The assessment needs to determine if the prototyping alone adequately represents the iterative and incremental nature of ESW, or if additional evidence is needed.
AI Summary: Update the project's schedule (Cronograma) for Unit 3 to accurately reflect the User Stories (US) that will be delivered. The current schedule is outdated and lacks a clear connection to the specific US.
AI Summary: The task requires clarifying and implementing a comprehensive testing strategy for the Touristeer application, ensuring all functionalities have unit tests, updating documentation (specifying the type and style guide), and providing evidence of code and functionality review by the QA team. This includes defining the scope of documentation and the testing process.
AI Summary: The task involves establishing a system for tracking and managing requirements for the Touristeer project. This includes assigning unique identifiers (RFX) to each functional requirement to ensure traceability throughout the development lifecycle, from initial specification to testing and implementation. The goal is to improve organization and maintain up-to-date records of requirements.
AI Summary: The Touristeer team is using the Rapid Application Development (RAD) methodology incorrectly. They are following a sequential, predictive approach instead of the iterative process inherent to RAD. The task is to correct their approach to align with the iterative nature of RAD, likely involving adjustments to their project timeline and delivery strategy.