Novel grey relational feature extraction algorithm for software fault-proneness using BBO (B-GRA)

Aarti, G Sikka, R Dhir - Arabian Journal for Science and Engineering, 2020 - Springer
The inherent uncertainty of software gives a vague and imprecise solution when it is solved
by human judgment. As the project expands, the issues of missing data values, outlier …

[PDF][PDF] A novel hybrid artificial immune system with genetic algorithm for software cost estimation

FS Gharehchopogh, I Maleki, N Ghoyunchizad… - Magnt Research …, 2014 - academia.edu
Inaccurate estimation of software projects is of the important and obvious causes of project
failures. Studying the related literature we notice that different models have been proposed …

Hybrid semi-supervised SOM based clustered approach with genetic algorithm for software fault classification

A Aarti, PK Rajput, A Khare - AIP Conference Proceedings, 2023 - pubs.aip.org
The delivery of defect-free products is always being a challenge in the software industry.
Limitation of testing criteria is reasoned as important aspects that lead to the existence of …

An investigation on the metric threshold for fault-proneness

G Sikka, R Dhir - International Journal of Education and …, 2017 - search.proquest.com
The software quality can be enhanced with the awareness and compassionate about the
software faults. We acknowledge the impact of threshold of the object-oriented metrics on …

International Journal of Education and Management Engineering (IJEME)

MK Pasha, K Munawar, AT Qureshi, S Zafar, S Riaz… - mecs-press.net
Untitled Page 1 Page 2 International Journal of Education and Management Engineering (IJEME)
ISSN: 2305-3623(Print), ISSN: 2305-8463(Online) Volume 11, Number 4, August 2021 …