Ruchika Malhotra

Change prediction model using evolutionary history of a software — An automated tool

2017 · 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)

The Software systems tend to undergo a lot of changes as we go from one version to another. In order to accurately measure the change proneness of the software we developed tool that automatically calculates …

Software Defect Categorization based on Maintenance Effort and Change Impact using Multinomial Naïve Bayes Algorithm

2020

Cost-to-fix software defects increase exponentially as the software moves forward in its life cycle. The fixing of defects found during the maintenance phase is very costly. Software Defect Categorization (SDC) models categorize the software defects …

SAGA: A Hybrid Technique to handle Imbalance Data in Software Defect Prediction

2021

Software defect prediction has been a concurrent topic in software quality-based research. Predictive models that identify defect prone parts of Software can be evolved from defect data and software metrics. Various studies conducted in the …

Hybrid Differential Evolution and Tabu Search for Parameter Tuning in Software Defect

2022 · 2022 IEEE 7th International conference for Convergence in Technology (I2CT)

Software Defect Prediction (SDP) helps in identifying defective modules as early as possible in the Software Development Life Cycle (SDLC). Machine learning (ML) methods are employed as defect predictors to provide insights into a software’s …