How far we have progressed in the journey? an examination of cross-project defect prediction
Background. Recent years have seen an increasing interest in cross-project defect
prediction (CPDP), which aims to apply defect prediction models built on source projects to a …
prediction (CPDP), which aims to apply defect prediction models built on source projects to a …
Cross-project defect prediction: a literature review
S Pal, A Sillitti - IEEE access, 2022 - ieeexplore.ieee.org
Background: Software defect prediction models aim at identifying the potential faulty
modules of a software project based on historical data collected from previous versions of …
modules of a software project based on historical data collected from previous versions of …
Novel grey relational feature extraction algorithm for software fault-proneness using BBO (B-GRA)
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 …
by human judgment. As the project expands, the issues of missing data values, outlier …
Prediction of Breast Cancer Using Machine Learning Techniques for Health Data
Breast cancer is a significant health problem, and early detection is crucial for effective
treatment and improved survival rates. Computer-aided detection and diagnosis (CAD) …
treatment and improved survival rates. Computer-aided detection and diagnosis (CAD) …
An empirical study of public data quality problems in cross project defect prediction
Background: Two public defect data, including Jureczko and NASA datasets, have been
widely used in cross project defect prediction (CPDP). The quality of defect data have been …
widely used in cross project defect prediction (CPDP). The quality of defect data have been …
Analytical approach to cross project defect prediction
Ensuring software quality has been an issue since the very beginning of software industry.
Now with the advancement in technology, tools and development cycles, new paradigms …
Now with the advancement in technology, tools and development cycles, new paradigms …
An investigation on the metric threshold for fault-proneness
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 …
software faults. We acknowledge the impact of threshold of the object-oriented metrics on …
Cross-Domain Analysis of Social Data and the Effect of Valence Shifters
R Pal - Advanced Circuits and Systems for Healthcare and …, 2022 - api.taylorfrancis.com
Sentiment analysis is the process of understanding the sentiments from text, which defines
the text to be positive, negative, or neutral. It is easy for humans to understand the opinions …
the text to be positive, negative, or neutral. It is easy for humans to understand the opinions …
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 …
ISSN: 2305-3623(Print), ISSN: 2305-8463(Online) Volume 11, Number 4, August 2021 …