Results 31 to 40 of about 9,947 (259)

Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review

open access: yesSensors, 2022
Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be allocated to fault-prone modules ...
Manzura Jorayeva   +3 more
doaj   +1 more source

A comparative study of deep learning techniques in software fault prediction

open access: yesTạp chí Khoa học và Công nghệ
Software fault prediction (SFP) is an important approach in software engineering that ensures software quality and reliability. Prediction of software faults helps developers identify faulty components in software systems.
Ha Thi Minh Phuong   +2 more
doaj   +1 more source

RMTool, Rekayasa Persyaratan, Perangkat Lunak, UML, Pemula

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2017
High balance value of software fault prediction can help in conducting test effort, saving test costs, saving test resources, and improving software quality.
Fachrul Pralienka Bani Muhamad   +2 more
doaj   +1 more source

Software Fault Localization through Aggregation-Based Neural Ranking for Static and Dynamic Features Selection

open access: yesSensors, 2021
The automatic localization of software faults plays a critical role in assisting software professionals in fixing problems quickly. Despite various existing models for fault tolerance based on static features, localization is still challenging.
Abdulaziz Alhumam
doaj   +1 more source

A Novel Software Reliability Growth Model Based on Generalized Imperfect Debugging NHPP Framework

open access: yesIEEE Access, 2023
Non-Homogeneous Poisson Process (NHPP) is a standard framework in the field of software reliability analysis. The core of NHPP consists in determining the Mean Value Function (MVF) of cumulative error number at a specific time slot.
Hang Luo   +4 more
doaj   +1 more source

Piecewise Congruence Regressed Indexive Extreme Learning Classifier for Software Fault Prediction

open access: yesIEEE Access
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 early phases of software development life cycle for detecting ...
Sureka Sivavelu, Venkatesh Palanisamy
doaj   +1 more source

Using Tri-Relation Networks for Effective Software Fault-Proneness Prediction

open access: yesIEEE Access, 2019
Software modules and developers are two core elements during the process of software development. Previous studies have shown that analyzing relations between 1) software modules; (2) developers; and (3) modules and developers, is critical to understand ...
Yihao Li   +3 more
doaj   +1 more source

Software mining and fault prediction

open access: yesWIREs Data Mining and Knowledge Discovery, 2012
AbstractMining software repositories (MSRs) such as source control repositories, bug repositories, deployment logs, and code repositories provide useful patterns for practitioners. Instead of using these repositories as record‐keeping ones, we need to transform them into active repositories that can guide the decision processes inside the company.
openaire   +2 more sources

Software Fault Prediction Using Cross-Project Analysis: A Study on Class Imbalance and Model Generalization

open access: yesIEEE Access
Software fault prediction is a critical aspect of software engineering aimed at improving software quality and reliability. However, it faces significant challenges, including the class imbalance issue in fault data and the need for robust predictive ...
S. Kaliraj, A. M. Kishoore, V. Sivakumar
doaj   +1 more source

Entropy Churn Metrics for Fault Prediction in Software Systems

open access: yesEntropy, 2018
Fault prediction is an important research area that aids software development and the maintenance process. It is a field that has been continuously improving its approaches in order to reduce the fault resolution time and effort.
Arvinder Kaur, Deepti Chopra
doaj   +1 more source

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