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 …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
before they manifest as costly problems. In this research, we focus on enhancing defect …