Developing a good software in terms of quality is a very difficult task. As it requires various phases of SDLC (Software Development Life Cycle) to achieve the task. Even though, by following the phases of SDLC the quality of software did not come up with the expected results. Various methodologies come into existence to conquer these difficulties and to foster superior grade, savvy and solid frameworks, different development approaches have been proposed. Two of these methodologies are Component-Based Software Engineering and Model-Driven Software Development. These two unique methodologies both endeavour to deliver superior grade, minimal expense and on time software frameworks with an attention on reusability and efficiency. In any case, there are huge issues identified with the utilization of models and segments during the development of software frameworks. To cope up with this problem, now a days in software development world, Artificial Intelligence (AI) is quickly gaining ground as a must-have technology. One of its major uses is to help automate manual processes for better efficiency of work processes, which is a game changer for any field that implements it. Artificial Intelligence inSoftware Engineering makes the tedious task of software development in easier way. Byadapting various advanced techniques available in AI, it makes the task easy and enhance the quality of software.

Artificial Intelligence, Software Engineering, AI, Software Development Lifecycle, SDLC.