Survey of software defect prediction features

S Qiu, BE, J He, L Liu - Neural Computing and Applications, 2024 - Springer
Software defect prediction (SDP) is a technique that uses known software features and
defect information to predict target software defects. It helps reduce software development …

SDP-MTF: A Composite Transfer Learning and Feature Fusion for Cross-Project Software Defect Prediction

T Lei, J Xue, D Man, Y Wang, M Li, Z Kong - Electronics, 2024 - mdpi.com
Software defect prediction is critical for improving software quality and reducing
maintenance costs. In recent years, Cross-Project software defect prediction has garnered …

[HTML][HTML] Cross-project software defect prediction based on the reduction and hybridization of software metrics

A Abdu, Z Zhai, HA Abdo, S Lee, MA Al-masni… - Alexandria Engineering …, 2025 - Elsevier
Cross-project defect prediction (CPDP) plays an essential role in identifying potential defects
in target projects, especially those with limited historical data, using relevant information …

DHG-BiGRU: Dual-attention based hierarchical gated BiGRU for software defect prediction

R Malhotra, P Singh - Information and Software Technology, 2024 - Elsevier
Context: The goal of software defect prediction (SDP), a well-known field of study, is to detect
errors early in the software lifecycle. Traditional machine learning models are based on …

Software Defect Prediction Based on Deep Representation Learning of Source Code From Contextual Syntax and Semantic Graph

A Abdu, Z Zhai, HA Abdo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Software defect prediction approaches play an essential role in the software development
life cycle to help developers predict defects early, thus, preventing wasted time and effort …

Number of program builds: Another criterium for assessing difficulty of a programming task?

V Dobiáš, V Šimandl, J Vaníček - Informatics in Education, 2024 - infedu.vu.lt
The paper discusses an alternative method of assessing the difficulty of pupils' programming
tasks to determine their age appropriateness. Building a program takes the form of its …

Piecewise Congruence Regressed Indexive Extreme Learning Classifier for Software Fault Prediction

S Sivavelu, V Palanisamy - IEEE Access, 2024 - ieeexplore.ieee.org
Software fault prediction is a significant task in software development to discover faults early.
It is the process of developing models that can be used by the software practitioners in the …

Piecewise Congruence Regressed Indexive Extreme Learning classifier for Software Fault Prediction

S Sureka, P Venkatesh - 2023 - researchsquare.com
Early detection of software faults is significant task in the software development process.
With the development of defect prediction technology, software with defects negatively …

Convolutional Neural Network-Based Research on Software Engineering Defect Prediction

X Qiu, P Fan, J Ren - Proceedings of the 6th International Conference on …, 2023 - dl.acm.org
Defect prediction plays a crucial role in software engineering by identifying potential issues
before they manifest as costly problems. In this research, we focus on enhancing defect …