Intelligent Environments (IEs) are complex user-centric systems that integrate a mix of sensors, software, and algorithms designed to react, handle and retain awareness to provided contextual information, user preferences, reasoning processes, and even system malfunctions. Developing IEs requires a structured, iterative approach that ensures context-specific requirements and maintains system quality throughout the development lifecycle. Although robust frameworks and strategies now exist to assess the quality of the systems, during or after development, tools to support developers in these stages remain scarce. This study aims to identify, synthesise, and present the findings on tools available to improve the evaluation and quality management of IEs. A systematic literature review was conducted to explore the current landscape of research on the development and engineering of intelligent environments. The initial findings suggest new avenues for research, particularly the need for automation in evaluation processes to improve framework applicability, efficiency, and reliability. Addressing this gap should be a target for research endeavors.