Results 31 to 40 of about 9,202 (166)
Sensors, 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
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A Novel Software Reliability Growth Model Based on Generalized Imperfect Debugging NHPP Framework
IEEE 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
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Piecewise Congruence Regressed Indexive Extreme Learning Classifier for Software Fault Prediction
IEEE AccessSoftware 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
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Using Tri-Relation Networks for Effective Software Fault-Proneness Prediction
IEEE 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
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Fault Persistency and Fault Prediction in Optimization of Software Release [PDF]
International Journal of Information Technology and Computer Science, 2013 This article serves two purposes: firstly, it presents an innovative methodology that increases the accuracy of fault prediction measurements. This method is based on the novel concept of "fault persistency", which enables to correct prediction metrics with a weighted value related to the module's history.
PIGHIN, Maurizio, MARZONA, Anna
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IEEE AccessSoftware 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
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Entropy Churn Metrics for Fault Prediction in Software Systems
Entropy, 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
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Software mining and fault prediction
WIREs 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.
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Analysis method of software failure modes in command information system based on complex networks [PDF]
Zhihui kongzhi yu fangzhenThe command information system software forms a network through sophisticated interactions, where a single software failure can widely propagate within the network and cause severe consequences.
WANG Bo, JIANG Xuping, JING Huiqian
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Software Fault Prediction at Design Phase
Journal of Electrical Engineering and Technology, 2014 Prediction of fault-prone modules continues to attract researcher’s interest due to its significant impact on software development cost. The most important goal of such techniques is to correctly identify the modules where faults are most likely to present in early phases of software development lifecycle.
Pradeep Singh, Shrish Verma, O.P. Vyas
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