Neural Network-Based Software Development Lifecycle Model: Design and Evaluation

EasyChair Preprint no. 12893

Abstract

This study presents a novel software development lifecycle (SDLC) model that utilizes neural networks (NNs) for various stages of software development. It outlines the design and implementation of the NN-based model and evaluates its performance compared to conventional SDLC approaches. Through empirical analysis and experimentation, the research assesses the efficacy of NNs in enhancing software development processes, offering insights into the potential benefits and challenges of adopting NN-based models.

Keyphrases: empirical analysis, model design, neural networks, performance evaluation, software development lifecycle

@Booklet{EasyChair:12893,
  author = {Suniti Purohit and Wahaj Ahmed},
  title = {Neural Network-Based Software Development Lifecycle Model: Design and Evaluation},
  howpublished = {EasyChair Preprint no. 12893},

  year = {EasyChair, 2024}}