AI Based Framework for Dynamic Modeling of Software Maintenance Effort Estimation

With the growth of IT and software industry there has been a shift in the software development paradigm from traditional techniques based to object-oriented and component-based development techniques. Due to this shift dynamic changes occur in the technology, environment and many other qualitative/quantitative factors, leading to increased maintenance effort. The challenge then lies inaccurately modeling and estimating the software maintenance effort under such dynamically emerging circumstances. This paper summarizes some of the recent advances in the field of dynamic software maintenance effort estimation. Various new static and dynamic factors and their roles in effort prediction are discussed, and based on them a dynamic modeling framework is proposed. Artificial intelligence is contemplated in this research, mainly functional networks based. Further, the proposed framework needs to be validated with real life project data.