output
20222025
most citedExplainable Software Defect Prediction from Cross Company Project Metrics Using Machine Learning

15 citations

5 papers

cs.SE2025★ 2 cited

WIP: Assessing the Effectiveness of ChatGPT in Preparatory Testing Activities

Susmita Haldar, Mary Pierce, Luiz Fernando Capretz

This innovative practice WIP paper describes a research study that explores the integration of ChatGPT into the software testing curriculum and evaluates its effectiveness compared…

cs.SE2024★ 4 cited

Feature Importance in the Context of Traditional and Just-In-Time Software Defect Prediction Models

Susmita Haldar, Luiz Fernando Capretz

Software defect prediction models can assist software testing initiatives by prioritizing testing error-prone modules. In recent years, in addition to the traditional defect predic…

cs.SE2024

Factors Influencing Performance of Students in Software Automated Test Tools Course

Susmita Haldar, Mary Pierce, Luiz Fernando Capretz

Formal software testing education is important for building efficient QA professionals. Various aspects of quality assurance approaches are usually covered in courses for training…

cs.SE2023★ 15 cited

Explainable Software Defect Prediction from Cross Company Project Metrics Using Machine Learning

Susmita Haldar, Luiz Fernando Capretz

Predicting the number of defects in a project is critical for project test managers to allocate budget, resources, and schedule for testing, support and maintenance efforts. Softwa…

cs.NE2022★ 4 cited

Heart Attack Classification System using Neural Network Trained with Particle Swarm Optimization

Askandar H. Amin, Botan K. Ahmed, Bestan B. Maaroof +1

The prior detection of a heart attack could lead to the saving of one's life. Putting specific criteria into a system that provides an early warning of an imminent at-tack will be…